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DOE/EIA-0383(<strong>2006</strong>)February <strong>2006</strong><strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>With <strong>Projections</strong> <strong>to</strong> <strong>2030</strong>February <strong>2006</strong>


For Further Information ...The <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> (AEO<strong>2006</strong>) was prepared by the <strong>Energy</strong> Information Administration(EIA), under the direction of John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Direc<strong>to</strong>r, IntegratedAnalysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Direc<strong>to</strong>r, Demandand Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Direc<strong>to</strong>r, Coal andElectric Power Division; Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Acting Direc<strong>to</strong>r, Oil and GasDivision and Senior Technical Advisor; and Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188),Direc<strong>to</strong>r, International, Economic, and Greenhouse Gases Division.For ordering information and questions on other energy statistics available from EIA, please contact EIA’sNational <strong>Energy</strong> Information Center. Addresses, telephone numbers, and hours are as follows:National <strong>Energy</strong> Information Center, EI-30<strong>Energy</strong> Information AdministrationForrestal BuildingWashing<strong>to</strong>n, DC 20585Telephone: 202/586-8800E-mail: infoctr@eia.doe.govFAX: 202/586-0727World Wide Web Site: http://www.eia.doe.gov/TTY: 202/586-1181FTP Site: ftp://ftp.eia.doe.gov/9 a.m. <strong>to</strong> 5 p.m., eastern time, M-FSpecific questions about the information in this report may be directed <strong>to</strong>:Overview . . . . . . . . . . . . . . . Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284)Economic Activity . . . . . . . . . . Ronald F. Earley (rearley@eia.doe.gov, 202/586-1398)International Oil Markets . . . . . . G. Daniel Butler (gbutler@eia.doe.gov, 202/586-9503)Residential Demand . . . . . . . . . John H. Cymbalsky (jcymbals@eia.doe.gov, 202/586-4815)Commercial Demand . . . . . . . . . Erin E. Boedecker (eboedeck@eia.doe.gov, 202/586-4791)Industrial Demand . . . . . . . . . . T. Crawford Honeycutt (choneycu@eia.doe.gov, 202/586-1420)Transportation Demand . . . . . . . John D. Maples (jmaples@eia.doe.gov, 202/586-1757)Electricity Generation, Capacity . . Jeff Jones (jjones@eia.doe.gov, 202/586-2038)Electricity Generation Emissions . . Zia Haq (zhaq@eia.doe.gov, 202/586-2869)Electricity Prices . . . . . . . . . . . Lori Aniti (laniti@eia.doe.gov, 202/586-2867)Nuclear <strong>Energy</strong>. . . . . . . . . . . . Laura Martin (laura.martin@eia.doe.gov, 202/586-1494)Renewable <strong>Energy</strong> . . . . . . . . . . Chris Namovicz (chris.namovicz@eia.doe.gov, 202/586-7120)Oil and Gas Production . . . . . . . Ted E. McCallister (tmccalli@eia.doe.gov, 202/586-4820)Natural Gas Markets. . . . . . . . . Philip M. Budzik (pbudzik@eia.doe.gov, 202/586-2847)Oil Refining and Markets . . . . . . Anthony F. Radich (anthony.radich@eia.doe.gov, 202/586-0504)Coal Supply and Prices. . . . . . . . Michael L. Mellish (mmellish@eia.doe.gov, 202/586-2136)Greenhouse Gas Emissions . . . . . Daniel H. Skelly (dskelly@eia.doe.gov, 202/586-1722)AEO<strong>2006</strong> will be available on the EIA web site at www.eia.doe.gov/oiaf/aeo/ in early February <strong>2006</strong>. Assumptionsunderlying the projections and tables of regional and other detailed results will also be available in earlyFebruary <strong>2006</strong>, at web sites www.eia.doe.gov/oiaf/assumption/ and /supplement/. Model documentationreports for the National <strong>Energy</strong> Modeling System (NEMS) are available at web site www.eia.doe.gov/bookshelf/docs.html and will be updated for AEO<strong>2006</strong> during the first few months of <strong>2006</strong>.Other contribu<strong>to</strong>rs <strong>to</strong> the report include Joseph Benneche, Bill Brown, John Cochener, Margie Daymude,Linda Doman, Robert Eynon, James Hewlett, Elizabeth Hossner, Diane Kearney, James Kendell, Nasir Khilji,Paul Kondis, Han Lin Lee, Thomas Lee, Phyllis Martin, Tom Petersik, Chetha Phang, Eugene Reiser,Laurence Sanders, Bhima Sastri, Sharon Shears, Robert Smith, Yvonne Taylor, Brian Unruh, Jose Villar,Dana Van Wagener, Steven Wade, and Peggy Wells.


DOE/EIA-0383(<strong>2006</strong>)<strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>With <strong>Projections</strong> <strong>to</strong> <strong>2030</strong>February <strong>2006</strong><strong>Energy</strong> Information AdministrationOffice of Integrated Analysis and ForecastingU.S. Department of <strong>Energy</strong>Washing<strong>to</strong>n, DC 20585This publication is on the WEB at:www.eia.doe.gov/oiaf/aeo/This report was prepared by the <strong>Energy</strong> Information Administration, the independent statistical andanalytical agency <strong>with</strong>in the U.S. Department of <strong>Energy</strong>. The information contained herein should beattributed <strong>to</strong> the <strong>Energy</strong> Information Administration and should not be construed as advocating orreflecting any policy position of the Department of <strong>Energy</strong> or any other <strong>org</strong>anization.


PrefaceThe <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> (AEO<strong>2006</strong>), preparedby the <strong>Energy</strong> Information Administration(EIA), presents long-term forecasts of energy supply,demand, and prices through <strong>2030</strong>. The projectionsare based on results from EIA’s National <strong>Energy</strong>Modeling System (NEMS).The report begins <strong>with</strong> an “Overview” summarizingthe AEO<strong>2006</strong> reference case and comparing it <strong>with</strong>the AEO2005 reference case. The next section, “Legislationand Regulations,” discusses evolving legislationand regula<strong>to</strong>ry issues, including recently enactedlegislation and regulation, such as the <strong>Energy</strong> PolicyAct of 2005, and some that are proposed. “Issues inFocus” includes a discussion of the basis of EIA’s substantialrevision of the world oil price trend used inthe projections. It also examines the following <strong>to</strong>pics:implications of higher oil price expectations for economicgrowth; differences among types of crude oilavailable on world markets; energy technologies onthe cusp of being introduced; nonconventional liquidstechnologies beginning <strong>to</strong> play a larger role in energymarkets; advanced vehicle technologies included inAEO<strong>2006</strong>; mercury emissions control technologies;and U.S. greenhouse gas intensity. “Issues in Focus”is followed by “<strong>Energy</strong> Market Trends,” which providesa summary of the AEO<strong>2006</strong> projections forenergy markets.The analysis in AEO<strong>2006</strong> focuses primarily on a referencecase, lower and higher economic growth cases,and lower and higher energy price cases. In addition,more than 30 alternative cases are included inAEO<strong>2006</strong>. Readers are encouraged <strong>to</strong> review the fullrange of cases, which address many of the uncertaintiesinherent in long-term forecasts. Complete tablesfor the five primary cases are provided in AppendixesThe projections in the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> arenot statements of what will happen but of what mighthappen, given the assumptions and methodologies used.The projections are business-as-usual trend estimates,given known technology, technological and demographictrends, and current laws and regulations. Thus, they providea policy-neutral reference case that can be used <strong>to</strong>analyze policy initiatives. EIA does not propose, advocate,or speculate on future legislative and regula<strong>to</strong>ry changes.All laws are assumed <strong>to</strong> remain as currently enacted; however,the impacts of emerging regula<strong>to</strong>ry changes, whendefined, are reflected.Because energy markets are complex, models are simplifiedrepresentations of energy production and consumption,regulations, and producer and consumer behavior.<strong>Projections</strong> are highly dependent on the data, methodologies,model structures, and assumptions used in theirA through C. Major results from many of the alternativecases are provided in Appendix D. Appendix Ebriefly describes NEMS and the alternative cases.The AEO<strong>2006</strong> projections are based on Federal,State, and local laws and regulations in effect on orbefore Oc<strong>to</strong>ber 31, 2005. The potential impacts ofpending or proposed legislation, regulations, andstandards (and sections of existing legislation requiringfunds that have not been appropriated) are notreflected in the projections. For example, theAEO<strong>2006</strong> reference case does not include implementationof the proposed, but not yet final, increase incorporate average fuel economy (CAFE) standardsbased on vehicle footprint for light trucks—includingpickups, sport utility vehicles, and minivans. In general,his<strong>to</strong>rical data used in the AEO<strong>2006</strong> projectionsare based on EIA’s <strong>Annual</strong> <strong>Energy</strong> Review 2004, publishedin August 2005; however, data are taken frommultiple sources. In some cases, only partial or preliminary2004 data were available. His<strong>to</strong>rical data arepresented in this report for comparative purposes;documents referenced in the source notes should beconsulted for official data values. The projections for2005 and <strong>2006</strong> incorporate the short-term projectionsfrom EIA’s September 2005 Short-Term <strong>Energy</strong> <strong>Outlook</strong>where the data are comparable.Federal, State and local governments, trade associations,and other planners and decisionmakers in thepublic and private sec<strong>to</strong>rs use the AEO<strong>2006</strong> projections.They are published in accordance <strong>with</strong> Section205c of the Department of <strong>Energy</strong> Organization Ac<strong>to</strong>f 1977 (Public Law 95-91), which requires the EIAAdministra<strong>to</strong>r <strong>to</strong> prepare annual reports on trendsand projections for energy use and supply.development. Behavioral characteristics are indicative ofreal-world tendencies rather than representations ofspecific outcomes.<strong>Energy</strong> market projections are subject <strong>to</strong> much uncertainty.Many of the events that shape energy markets arerandom and cannot be anticipated, including severeweather, political disruptions, strikes, and technologicalbreakthroughs. In addition, future developments in technologies,demographics, and resources cannot be foreseen<strong>with</strong> certainty. Many key uncertainties in the AEO<strong>2006</strong>projections are addressed through alternative cases.EIA has endeavored <strong>to</strong> make these projections as objective,reliable, and useful as possible; however, they should serveas an adjunct <strong>to</strong>, not a substitute for, a complete andfocused analysis of public policy initiatives.ii <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


ContentsPageOverview .......................................................................... 1Legislation and Regulations .......................................................... 13Introduction ........................................................................... 14EPACT2005 Summary. .................................................................. 15California Greenhouse Gas Emissions Standards for Light-Duty Vehicles ......................... 22Proposed Revisions <strong>to</strong> Light Truck Fuel Economy Standards ................................... 23State Renewable <strong>Energy</strong> Requirements and Goals: Update Through 2005. ........................ 24State Air Emission Regulations That Affect Electric Power Producers. ........................... 27Federal Air Emissions Regulations. ........................................................ 28Update on Transition <strong>to</strong> Ultra-Low-Sulfur Diesel Fuel ........................................ 29State Restrictions on Methyl Tertiary Butyl Ether ............................................ 29Volumetric Excise Tax Credit for Alternative Fuels ........................................... 30Issues in Focus ..................................................................... 31Introduction ........................................................................... 32World Oil Prices in AEO<strong>2006</strong> ............................................................. 32Economic Effects of High Oil Prices ........................................................ 33Changing Trends in the Refining Industry .................................................. 39<strong>Energy</strong> Technologies on the Horizon ....................................................... 41Advanced Technologies for Light-Duty Vehicles .............................................. 49Nonconventional Liquid Fuels ............................................................ 51Mercury Emissions Control Technologies ................................................... 58U.S. Greenhouse Gas Intensity and the Global Climate Change Initiative ......................... 59Market Trends. ..................................................................... 61Trends in Economic Activity .............................................................. 62International Oil Markets ................................................................ 64<strong>Energy</strong> Demand ........................................................................ 65Residential Sec<strong>to</strong>r <strong>Energy</strong> Demand ........................................................ 67Commercial Sec<strong>to</strong>r <strong>Energy</strong> Demand. ....................................................... 69Industrial Sec<strong>to</strong>r <strong>Energy</strong> Demand ......................................................... 71Transportation Sec<strong>to</strong>r <strong>Energy</strong> Demand ..................................................... 74Electricity Demand and Supply. ........................................................... 77Electricity Supply. ...................................................................... 78Electricity From Renewable Sources ....................................................... 81Electricity Fuel Costs and Prices .......................................................... 82Electricity Alternative Cases. ............................................................. 83Natural Gas Demand .................................................................... 85Natural Gas Supply ..................................................................... 86Natural Gas Prices. ..................................................................... 87Natural Gas Alternative Cases ............................................................ 88Oil Prices and Production ................................................................ 91Oil Price Cases ......................................................................... 92Oil Price and Technology Cases ........................................................... 93ANWR Alternative Oil Case .............................................................. 94Refined Petroleum Products .............................................................. 95Ethanol and Synthetic Fuels .............................................................. 97Coal Supply and Demand ................................................................ 98Coal Mine Employment and Coal Prices .................................................... 99Coal Transportation and Imports .......................................................... 100Coal Consumption ...................................................................... 101Coal Alternative Cases. .................................................................. 102Carbon Dioxide Emissions. ............................................................... 103Carbon Dioxide and Sulfur Dioxide Emissions ............................................... 104Nitrogen Oxide and Mercury Emissions. .................................................... 105<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>iii


ContentsPageForecast Comparisons ...............................................................107List of Acronyms ....................................................................119Notes and Sources ..................................................................120AppendixesA. Reference Case ...................................................................... 133B. Economic Growth Case Comparisons .................................................... 165C. Price Case Comparisons. .............................................................. 173D. Results from Side Cases ............................................................... 184E. NEMS Overview and Brief Description of Cases ........................................... 199F. Regional Maps. ...................................................................... 213G. Conversion Fac<strong>to</strong>rs. .................................................................. 221Tables1. Total energy supply and disposition in the AEO<strong>2006</strong> reference case: summary, 2003-<strong>2030</strong>. ........ 112. CARB emissions standards for light-duty vehicles, model years 2009-2016 ...................... 233. Proposed light truck CAFE standards by model year and footprint category .................... 234. Key projections for light truck fuel economy in the alternative CAFE standards case, 2011-<strong>2030</strong>. ... 245. Basic features of State renewable energy requirements and goals enacted since 2003 ............. 256. Major changes in existing State renewable energy requirements and goals since 2003 ............ 257. New U.S. renewable energy capacity, 2004-2005 ........................................... 268. Estimates of national trends in annual emissions of sulfur dioxide and nitrogen oxides, 2003-2020. . 289. Macroeconomic model estimates of economic impacts from oil price increases ................... 3510. Time-series estimates of economic impacts from oil price increases ............................ 3611. Summary of U.S. oil price-GDP elasticities. ............................................... 3612. Economic indica<strong>to</strong>rs in the reference, high price, and low price cases, 2005-<strong>2030</strong>. ................ 3813. Technologies expected <strong>to</strong> have significant impacts on new light-duty vehicles ................... 5114. Nonconventional liquid fuels production in the AEO<strong>2006</strong> reference and high price cases, <strong>2030</strong> ..... 5215. Projected changes in U.S. greenhouse gas emissions, gross domestic product,and greenhouse gas intensity, 2002-2020 ................................................. 6016. Costs of producing electricity from new plants, 2015 and <strong>2030</strong>. ............................... 7817. Technically recoverable U.S. natural gas resources as of January 1, 2004. ...................... 8818. Technically recoverable U.S. crude oil resources as of January 1, 2004 ......................... 9119. Forecasts of annual average economic growth, 2004-<strong>2030</strong>. ................................... 10820. Forecasts of world oil prices, 2010-<strong>2030</strong> .................................................. 10821. Forecasts of average annual growth rates for energy consumption, 2004-<strong>2030</strong> ................... 10922. Comparison of electricity forecasts, 2015 and <strong>2030</strong> ......................................... 11123. Comparison of natural gas forecasts, 2015, 2025, and <strong>2030</strong> .................................. 11224. Comparison of petroleum forecasts, 2015 and <strong>2030</strong> ......................................... 11525. Comparison of coal forecasts, 2015, 2025, and <strong>2030</strong>. ........................................ 116Figures1. <strong>Energy</strong> prices, 1980-<strong>2030</strong> .............................................................. 42. Delivered energy consumption by sec<strong>to</strong>r, 1980-<strong>2030</strong> ........................................ 53. <strong>Energy</strong> consumption by fuel, 1980-<strong>2030</strong> .................................................. 64. <strong>Energy</strong> use per capita and per dollar of gross domestic product, 1980-<strong>2030</strong> ..................... 65. Electricity generation by fuel, 1980-<strong>2030</strong> ................................................. 76. Total energy production and consumption, 1980-<strong>2030</strong> ...................................... 87. <strong>Energy</strong> production by fuel, 1980-<strong>2030</strong>. ................................................... 88. Projected U.S. carbon dioxide emissions by sec<strong>to</strong>r and fuel, 1990-<strong>2030</strong> ......................... 109. Sulfur dioxide emissions in selected States, 1990-2003 ...................................... 2810. World oil prices in the AEO2005 and AEO<strong>2006</strong> reference cases ............................... 32iv <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


ContentsFigures (Continued)Page11. World oil prices in three AEO<strong>2006</strong> cases, 1980-<strong>2030</strong> ........................................ 3312. Changes in world oil price and U.S. real GDP in the AEO<strong>2006</strong> high and low price cases, 2004-<strong>2030</strong> . 3713. GDP elasticities <strong>with</strong> respect <strong>to</strong> oil price changes in the high price case, <strong>2006</strong>-<strong>2030</strong>. .............. 3814. Purvin & Gertz forecast for world oil production by crude oil quality, 1990-2020. ................ 4015. Sulfur content specifications for U.S. petroleum products, 1990-2014 .......................... 4016. U.S. hydrotreating capacity, 1990-<strong>2030</strong> .................................................. 4017. Market penetration of advanced technologies in new cars, 2004 and <strong>2030</strong> ...................... 5118. Market penetration of advanced technologies in new light trucks, 2004 and <strong>2030</strong> ................ 5119. System elements for production of synthetic fuels from coal, natural gas, and biomass ............ 5420. Mercury emissions from the electricity generation sec<strong>to</strong>r, 2002-<strong>2030</strong> .......................... 5921. Mercury allowance prices, 2010-<strong>2030</strong> .................................................... 5922. Coal-fired generating capacity retrofitted <strong>with</strong> activated carbon injection systems, 2010-<strong>2030</strong> ...... 5923. Projected change in U.S. greenhouse gas intensity in three cases, 2002-2020 .................... 6024. Average annual growth rates of real GDP, labor force, and productivity in three cases, 2004-<strong>2030</strong> . . 6225. Average annual unemployment, interest, and inflation rates, 2004-<strong>2030</strong> ....................... 6226. Sec<strong>to</strong>ral composition of output growth rates, 2004-<strong>2030</strong> ..................................... 6327. Sec<strong>to</strong>ral composition of manufacturing output growth rates, 2004-<strong>2030</strong> ........................ 6328. <strong>Energy</strong> expenditures as share of gross domestic product, 1970-<strong>2030</strong> ........................... 6329. World oil prices in three cases, 1980-<strong>2030</strong>. ................................................ 6430. U.S. gross petroleum imports by source, 2004-<strong>2030</strong>. ........................................ 6431. <strong>Energy</strong> use per capita and per dollar of gross domestic product, 1980-<strong>2030</strong> ..................... 6532. Primary energy use by fuel, 2004-<strong>2030</strong> ................................................... 6533. Delivered energy use by fuel, 1980-<strong>2030</strong> .................................................. 6634. Primary energy consumption by sec<strong>to</strong>r, 1980-<strong>2030</strong> ......................................... 6635. Delivered residential energy consumption per capita by fuel, 1980-<strong>2030</strong> ........................ 6736. Delivered residential energy consumption by end use, 2001, 2004, 2015, and <strong>2030</strong> ............... 6737. Efficiency indica<strong>to</strong>rs for selected residential appliances, 2004 and <strong>2030</strong> ........................ 6838. Variation from reference case delivered residential energy use in three alternative cases,2004-<strong>2030</strong> .......................................................................... 6839. Delivered commercial energy consumption per capita by fuel, 1980-<strong>2030</strong> ....................... 6940. Delivered commercial energy intensity by end use, 2004, 2015, and <strong>2030</strong> ....................... 6941. Efficiency indica<strong>to</strong>rs for selected commercial equipment, 2004 and <strong>2030</strong> ....................... 7042. Variation from reference case delivered commercial energy intensity in three alternative cases,2004-<strong>2030</strong> .......................................................................... 7043. Buildings sec<strong>to</strong>r electricity generation from advanced technologies in two alternative cases, <strong>2030</strong>. . . 7144. Industrial energy intensity by two measures, 1980-<strong>2030</strong>. .................................... 7145. <strong>Energy</strong> intensity in the industrial sec<strong>to</strong>r, 2004 ............................................ 7246. Average growth in industrial output and delivered energy consumption by sec<strong>to</strong>r, 2004-<strong>2030</strong> ...... 7247. Projected energy intensity in <strong>2030</strong> relative <strong>to</strong> 2004, by industry .............................. 7348. Variation from reference case delivered industrial energy use in two alternative cases, 2004-<strong>2030</strong> . . 7349. Transportation energy use per capita, 1980-<strong>2030</strong> .......................................... 7450. Transportation travel demand by mode, 1980-<strong>2030</strong>. ........................................ 7451. Average fuel economy of new light-duty vehicles, 1980-<strong>2030</strong> ................................. 7552. Sales of advanced technology light-duty vehicles by fuel type, 2015 and <strong>2030</strong>. ................... 7553. Changes in projected transportation fuel use in two alternative cases, 2010 and <strong>2030</strong>. ............ 7654. Changes in projected transportation fuel efficiency in two alternative cases, 2010 and <strong>2030</strong>. ....... 7655. <strong>Annual</strong> electricity sales by sec<strong>to</strong>r, 1980-<strong>2030</strong> .............................................. 7756. Electricity generation capacity additions by fuel type, including combined heat and power,2005-<strong>2030</strong> .......................................................................... 7757. Electricity generation capacity additions, including combined heat and power, by region and fuel,2005-<strong>2030</strong> .......................................................................... 7858. Levelized electricity costs for new plants, 2015 and <strong>2030</strong> .................................... 7859. Electricity generation from nuclear power, 1973-<strong>2030</strong> ...................................... 79<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>v


ContentsFigures (Continued)Page60. Additions of renewable generating capacity, 2004-<strong>2030</strong> ..................................... 7961. Levelized and avoided costs for new renewable plants in the Northwest, 2015 and <strong>2030</strong> ........... 8062. Electricity generation by fuel, 2004 and <strong>2030</strong>. ............................................. 8063. Grid-connected electricity generation from renewable energy sources, 1980-<strong>2030</strong> ................ 8164. Nonhydroelectric renewable electricity generation by energy source, 2004-<strong>2030</strong> ................. 8165. Fuel prices <strong>to</strong> electricity genera<strong>to</strong>rs, 1995-<strong>2030</strong> ............................................ 8266. Average U.S. retail electricity prices, 1970-<strong>2030</strong> ........................................... 8267. Cumulative new generating capacity by technology type in three economic growth cases,2004-<strong>2030</strong> .......................................................................... 8368. Cumulative new generating capacity by technology type in three fossil fuel technology cases,2004-<strong>2030</strong> .......................................................................... 8369. Levelized electricity costs for new plants by fuel type in two nuclear cost cases, 2015 and <strong>2030</strong> ..... 8470. Nonhydroelectric renewable electricity generation by energy source in three cases, 2010 and <strong>2030</strong> . . 8471. Natural gas consumption by sec<strong>to</strong>r, 1990-<strong>2030</strong> ............................................ 8572. Increases in natural gas consumption by Census division, 2004-<strong>2030</strong> .......................... 8573. Natural gas production by source, 1990-<strong>2030</strong>. ............................................. 8674. Net U.S. imports of natural gas by source, 1990-<strong>2030</strong> ....................................... 8675. Lower 48 natural gas wellhead prices, 1990-<strong>2030</strong> .......................................... 8776. Natural gas prices by end-use sec<strong>to</strong>r, 1990-<strong>2030</strong> ........................................... 8777. Lower 48 natural gas wellhead prices in three technology cases, 1990-<strong>2030</strong> ..................... 8878. Natural gas production and net imports in three technology cases, 1990-<strong>2030</strong> ................... 8879. Lower 48 natural gas wellhead prices in three price cases, 1990-<strong>2030</strong> .......................... 8980. Net imports of liquefied natural gas in three price cases, 1990-<strong>2030</strong> ........................... 8981. Net imports of liquefied natural gas in three LNG supply cases, 1990-<strong>2030</strong> ..................... 9082. Lower 48 natural gas wellhead prices in three LNG supply cases, 1990-<strong>2030</strong> .................... 9083. World oil prices in the reference case, 1990-<strong>2030</strong> ........................................... 9184. Domestic crude oil production by source, 1990-<strong>2030</strong> ........................................ 9185. World oil prices in three cases, 1990-<strong>2030</strong>. ................................................ 9286. Total U.S. petroleum production in three price cases, 1990-<strong>2030</strong> .............................. 9287. U.S. syncrude production from oil shale in the high price case, 2004-<strong>2030</strong> ...................... 9388. Total U.S. crude oil production in three technology cases, 1990-<strong>2030</strong> .......................... 9389. Alaskan oil production in the reference and ANWR cases, 1990-<strong>2030</strong> .......................... 9490. U.S. net imports of oil in the reference and ANWR cases, 1990-<strong>2030</strong>. .......................... 9491. Consumption of petroleum products, 1990-<strong>2030</strong> ........................................... 9592. Domestic refinery distillation capacity, 1990-<strong>2030</strong>. ......................................... 9593. U.S. petroleum product demand and domestic petroleum supply, 1990-<strong>2030</strong> .................... 9694. Components of retail gasoline prices, 2004, 2015, and <strong>2030</strong> .................................. 9695. U.S. ethanol fuel consumption in three price cases, 1995-<strong>2030</strong>. ............................... 9796. Coal-<strong>to</strong>-liquids and gas-<strong>to</strong>-liquids production in two price cases, 2004-<strong>2030</strong> ..................... 9797. Coal production by region, 1970-<strong>2030</strong> .................................................... 9898. Distribution of domestic coal by demand and supply region, 2003 and <strong>2030</strong> ..................... 9899. U.S. coal mine employment by region, 1970-<strong>2030</strong> .......................................... 99100. Average minemouth price of coal by region, 1990-<strong>2030</strong> ...................................... 99101. Changes in regional coal transportation rates, 2010, 2025, and <strong>2030</strong>. .......................... 100102. U.S. coal exports and imports, 1970-<strong>2030</strong> ................................................. 100103. Electricity and other coal consumption, 1970-<strong>2030</strong> ......................................... 101104. Coal consumption in the industrial and buildings sec<strong>to</strong>rs and at coal-<strong>to</strong>-liquids plants,2004, 2015, and <strong>2030</strong> ................................................................. 101105. Projected variation from the reference case projection of U.S. <strong>to</strong>tal coal demand in four cases,<strong>2030</strong> ............................................................................... 102106. Average delivered coal prices in three cost cases, 1990-<strong>2030</strong>. ................................. 102107. Carbon dioxide emissions by sec<strong>to</strong>r and fuel, 2004 and <strong>2030</strong> ................................. 103108. Carbon dioxide emissions in three economic growth cases, 1990-<strong>2030</strong> .......................... 103vi <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


ContentsFigures (Continued)Page109. Carbon dioxide emissions in three technology cases, 2004, 2020, and <strong>2030</strong> ...................... 104110. Sulfur dioxide emissions from electricity generation, 1990-<strong>2030</strong> .............................. 104111. Nitrogen oxide emissions from electricity generation, 1990-<strong>2030</strong>. ............................. 105112. Mercury emissions from electricity generation, 1995-<strong>2030</strong> ................................... 105<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>vii


Overview


Overview<strong>Energy</strong> Trends <strong>to</strong> <strong>2030</strong>The <strong>Energy</strong> Information Administration (EIA), inpreparing projections for the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong><strong>2006</strong> (AEO<strong>2006</strong>), evaluated a wide range of trendsand issues that could have major implications for U.S.energy markets between <strong>to</strong>day and <strong>2030</strong>. AEO<strong>2006</strong> isthe first edition of the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> (AEO)<strong>to</strong> provide projections through <strong>2030</strong>. This overviewfocuses on one case, the reference case, which is presentedand compared <strong>with</strong> the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong>2005 (AEO2005) reference case.Trends in energy supply and demand are affected by alarge number of fac<strong>to</strong>rs that are difficult <strong>to</strong> predict,such as energy prices, U.S. economic growth,advances in technologies, changes in weather patterns,and future public policy decisions. In preparingAEO<strong>2006</strong>, EIA reevaluated its prior expectationsabout world oil prices in light of the current circumstancesin oil markets. Since 2000, world oil priceshave risen sharply as supply has tightened, first as aresult of strong demand growth in developing economiessuch as China and later as a result of supply constraintsresulting from disruptions and inadequateinvestment <strong>to</strong> meet demand growth. As a result ofthis review, the AEO<strong>2006</strong> reference case includesmuch higher world oil prices than were projected inAEO2005. In the AEO<strong>2006</strong> reference case, worldcrude oil prices, which are now expressed in terms ofthe average price of imported low-sulfur crude oil <strong>to</strong>U.S. refiners, are projected <strong>to</strong> increase from $40.49per barrel (2004 dollars) in 2004 <strong>to</strong> $54.08 per barrelin 2025 (about $21 per barrel higher than the projected2025 price in AEO2005) and <strong>to</strong> $56.97 per barrelin <strong>2030</strong>.The higher world oil prices in the AEO<strong>2006</strong> referencecase have important implications for energy markets.The most significant impact is on the outlook for U.S.petroleum imports. Net imports of petroleum are projected<strong>to</strong> meet a growing share of <strong>to</strong>tal petroleumdemand in both AEO<strong>2006</strong> and AEO2005; however,the higher world oil prices in the AEO<strong>2006</strong> referencecase lead <strong>to</strong> more domestic crude oil production, lowerdemand for petroleum products, and consequentlylower levels of petroleum imports. Net petroleumimports are expected <strong>to</strong> account for 60 percent ofdemand (on the basis of barrels per day) in 2025 in theAEO<strong>2006</strong> reference case, up from 58 percent in 2004.In the AEO2005 reference case, net petroleumimports were projected <strong>to</strong> account for 68 percent ofU.S. petroleum demand in 2025.Higher world oil prices are also projected <strong>to</strong> affectfuel choice and vehicle efficiency decisions in thetransportation sec<strong>to</strong>r. Higher oil prices increase thedemand for unconventional sources of transportationfuel, such as ethanol and biodiesel, and are projected<strong>to</strong> stimulate coal-<strong>to</strong>-liquids (CTL) production in thereference case. In some of the alternative AEO<strong>2006</strong>cases, <strong>with</strong> even higher oil prices, domestic productionof liquid fuels from natural gas—“gas-<strong>to</strong>-liquids”(GTL)—is also stimulated. The production of alternativeliquid fuels is highly sensitive <strong>to</strong> oil price levels.The projected fuel economy of new light-duty vehiclesin the AEO<strong>2006</strong> reference case in 2025 is higher thanwas projected in the AEO2005 reference case, primarilybecause of higher petroleum prices. The AEO<strong>2006</strong>reference case does not include implementation of theproposed, but not yet final, increase in fuel economystandards based on vehicle footprint for lighttrucks—including pickups, sport utility vehicles, andminivans—for model years 2008 through 2011.Much of the increase in new light-duty vehicle fueleconomy in the AEO<strong>2006</strong> reference case reflectsgreater penetration by hybrid and diesel vehicles.Sales of “full hybrid” vehicles in 2025 are 31 percent(340,000 vehicles) higher in the AEO<strong>2006</strong> referencecase, and diesel vehicle sales are 29 percent (290,000vehicles) higher, than projected in the AEO2005 referencecase. In spite of the higher projected sales ofhybrid (1.5 million) and diesel (1.3 million) vehicles in2025, each is expected <strong>to</strong> account for only 7 percent ofnew vehicle sales in the AEO<strong>2006</strong> reference case,even though the projected hybrid sales are higherthan current industry expectations. The projectedWorld Oil Price Concept Used inAEO<strong>2006</strong>In previous AEOs, the world crude oil price wasdefined on the basis of the average importedrefiner acquisition cost of crude oil <strong>to</strong> the UnitedStates (IRAC), which represented the weightedaverage of all imported crude oil. His<strong>to</strong>rically, theIRAC price has tended <strong>to</strong> be a few dollars less thanthe widely cited prices of premium crudes, such asWest Texas Intermediate (WTI) and Brent, whichrefiners generally prefer for their low viscosity andsulfur content. In the past 2 years, the price differencebetween premium crudes and IRAC has widened—inparticular, the price spread betweenpremium crudes and heavier, high-sulfur crudes.In an effort <strong>to</strong> provide a crude oil price that is moreconsistent <strong>with</strong> those generally reported in themedia, AEO<strong>2006</strong> uses the average price ofimported low-sulfur crude oil <strong>to</strong> U.S. refiners.2 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Overviewsales figures for hybrids do not include sales of “mildhybrids,” which like full hybrids incorporate an integratedstarter genera<strong>to</strong>r, that allows for improvedefficiency by shutting the engine off when the vehicleis idling, but do not incorporate an electric mo<strong>to</strong>r thatprovides tractive power <strong>to</strong> the vehicle when it ismoving.The AEO<strong>2006</strong> reference case includes minimalmarket penetration by hydrogen fuel cell vehicles,as a result of State mandates. Although significantresearch and development (R&D) is being conductedthrough the FreedomCAR Program, a co-funded partnershipbetween the Federal Government and privateindustry, those efforts are not expected <strong>to</strong> have a significantimpact on the market for fuel cell vehiclesbefore <strong>2030</strong>.The AEO<strong>2006</strong> reference case projection for U.S.imports of liquefied natural gas (LNG) is lower thanwas projected in the AEO2005 reference case. LNGimports are projected <strong>to</strong> grow from 0.6 trillion cubicfeet in 2004 <strong>to</strong> 4.1 trillion cubic feet in 2025, as compared<strong>with</strong> 6.4 trillion cubic feet in the AEO2005 referencecase. More rapid growth in worldwide demandfor natural gas in the AEO<strong>2006</strong> reference casereduces the availability of LNG supplies <strong>to</strong> the UnitedStates and raises worldwide natural gas prices, makingLNG less economical in U.S. markets.AEO<strong>2006</strong> includes consideration of the impacts of the<strong>Energy</strong> Policy Act of 2005 (EPACT2005), signed in<strong>to</strong>law on August 8, 2005. Consistent <strong>with</strong> the generalapproach adopted in the AEO, the reference case doesnot consider those sections of EPACT2005 thatrequire funding appropriations for implementationor sections <strong>with</strong> highly uncertain impacts on energymarkets. For example, EIA does not try <strong>to</strong> anticipatethe policy response <strong>to</strong> the many studies required byEPACT2005 or the impacts of the R&D fundingauthorizations included in the bill. The AEO<strong>2006</strong> referencecase includes only those sections of EPACT-2005 that establish specific tax credits, incentives, orstandards—about 30 of the roughly 500 sections inthe legislation.Of the EPACT2005 provisions analyzed, incentivesintended <strong>to</strong> stimulate the development of advancednuclear and renewable plants have particularly noteworthyimpacts. A <strong>to</strong>tal of 6 gigawatts of newly constructednuclear capacity is projected <strong>to</strong> be added by<strong>2030</strong> in the AEO<strong>2006</strong> reference case as a result of theincentives in EPACT2005.EPACT2005 also has important implications forenergy consumption in the residential and commercialsec<strong>to</strong>rs. In the residential sec<strong>to</strong>r, EPACT2005sets efficiency standards for <strong>to</strong>rchiere lamps, dehumidifiers,and ceiling fans and creates tax credits forenergy-efficient furnaces, water heaters, and air conditioners.It also allows home builders <strong>to</strong> claim taxcredits for energy-efficient new construction. In thecommercial sec<strong>to</strong>r, the legislation creates efficiencystandards that affect energy use in a number of commercialapplications. It also includes investment taxcredits for solar technologies, fuel cells, and microturbines.These policies are expected <strong>to</strong> help reduceenergy use for space conditioning and lighting in bothsec<strong>to</strong>rs.Economic GrowthThe projections for key interest rates—the Federalfunds rate, the nominal yield on the 10-year Treasurynote, and the AA utility bond rate—in the AEO<strong>2006</strong>reference case are slightly lower than those in theAEO2005 reference case. Also, the projected value ofindustrial shipments has been revised downward, inpart in response <strong>to</strong> the higher projected energy pricesin the AEO<strong>2006</strong> reference case.Despite the higher forecast for energy prices, grossdomestic product (GDP) is projected <strong>to</strong> grow at anaverage annual rate of 3.0 percent from 2004 <strong>to</strong> <strong>2030</strong>in AEO<strong>2006</strong>, identical <strong>to</strong> the projected growth ratefrom 2004 through 2025 in AEO2005. The ratio offinal energy expenditures <strong>to</strong> GDP has generally fallenover time and was only about 0.07 in 2004, down froma high of 0.14 during the 1970s. It is projected <strong>to</strong> fall<strong>to</strong> about 0.05 in <strong>2030</strong> as a result of continued declinesin energy use per unit of output and growth in otherareas of the economy. The main fac<strong>to</strong>rs influencinglong-term economic growth are growth in the laborforce and sustained growth in labor productivity, notenergy prices.<strong>Energy</strong> PricesIn the reference case—one of several cases included inAEO<strong>2006</strong>—the average world crude oil price continues<strong>to</strong> rise through <strong>2006</strong> and then declines <strong>to</strong> $46.90per barrel in 2014 (2004 dollars) as new supplies enterthe market. It then rises slowly <strong>to</strong> $54.08 per barrel in2025 (Figure 1), about $21 per barrel higher than theprice in AEO2005 ($32.95 per barrel). AlternativeAEO<strong>2006</strong> cases address higher and lower world oilprices.The prices in the AEO<strong>2006</strong> reference case reflect ashift in EIA’s thinking about long-term trends in oilmarkets. World oil markets have been extremely volatilefor the past several years, and EIA now believesthat the price path in AEO2005 did not fully reflectthe causes of that volatility and the implications for<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 3


Overviewlong-term average oil prices. In the AEO<strong>2006</strong> referencecase, the combined production capacity of membersof the Organization of the Petroleum ExportingCountries (OPEC) does not increase as much as previouslyprojected, and consequently world oil suppliesare assumed <strong>to</strong> remain tight. The United States andemerging Asia—notably, China— are expected <strong>to</strong> leadthe increase in demand for world oil supplies, keepingpressure on prices though <strong>2030</strong>.In the AEO<strong>2006</strong> reference case, world petroleumdemand is projected <strong>to</strong> increase from about 82 millionbarrels per day in 2004 <strong>to</strong> 111 million barrels per dayin 2025. The additional demand is expected <strong>to</strong> be metby increased oil production from both OPEC andnon-OPEC nations. In AEO2005, world petroleumdemand was projected <strong>to</strong> reach a higher level of 121million barrels per day in 2025. The AEO<strong>2006</strong> referencecase projects OPEC oil production of 44 millionbarrels per day in 2025, 44 percent higher than the 31million barrels per day produced in 2004. In the AEO-2005 reference case, OPEC production was projected<strong>to</strong> reach 55 million barrels per day in 2025, more than11 million barrels per day higher than in the AEO-<strong>2006</strong> reference case. In the AEO<strong>2006</strong> reference case,non-OPEC oil production increases from 52 millionbarrels per day in 2004 <strong>to</strong> 67 million in 2025, as compared<strong>with</strong> the AEO2005 reference case projection of65 million barrels per day.The average U.S. wellhead price for natural gas in theAEO<strong>2006</strong> reference case declines gradually from thecurrent level as increased drilling brings on new suppliesand new import sources become available. Theaverage price falls <strong>to</strong> $4.46 per thousand cubic feet in2016 (2004 dollars), then rises gradually <strong>to</strong> more than$5.40 per thousand cubic feet in 2025 (equivalent <strong>to</strong>about $10 per thousand cubic feet in nominal dollars)and more than $5.90 per thousand cubic feet in <strong>2030</strong>.Figure 1. <strong>Energy</strong> prices, 1980-<strong>2030</strong> (2004 dollars permillion Btu)3530252015105His<strong>to</strong>ry<strong>Projections</strong>ElectricityPetroleum0Coal1980 1995 2004 2015 <strong>2030</strong>Natural gasLNG imports, Alaskan natural gas production, andlower 48 production from unconventional sources arenot expected <strong>to</strong> increase sufficiently <strong>to</strong> offset theimpacts of resource depletion and increased demand.The projected wellhead natural gas prices in theAEO<strong>2006</strong> reference case from 2016 <strong>to</strong> 2025 are consistentlyhigher than the comparable prices in theAEO2005 reference case, by about 30 <strong>to</strong> 60 cents perthousand cubic feet, primarily as a result of higherexploration and development costs.In the AEO<strong>2006</strong> reference case, the combination ofslow but continued improvements in expected mineproductivity and a continuing shift <strong>to</strong> low-cost coalfrom the Powder River Basin in Wyoming leads <strong>to</strong> agradual decline in the projected average minemouthcoal price, <strong>to</strong> approximately $20.00 per <strong>to</strong>n ($1.00 permillion British thermal units [Btu]) in 2021 (2004 dollars).Prices then increase slowly as rising natural gasprices and the need for baseload generating capacitylead <strong>to</strong> the construction of many new coal-fired generatingplants. In 2025, the average minemouth price inthe AEO<strong>2006</strong> reference case is projected <strong>to</strong> be $20.63per <strong>to</strong>n ($1.03 per million Btu), an increase over theAEO2005 reference case projection of $18.64 per <strong>to</strong>n($0.93 per million Btu). Trends in coal prices measuredin terms of <strong>to</strong>nnage differ slightly from thetrends in prices measured in terms of energy content,because the average energy content per <strong>to</strong>n of coalconsumed falls over time as Western subbituminouscoal, which has a relatively low Btu content, claims alarger share of the market.Average delivered electricity prices are projected <strong>to</strong>decline from 7.6 cents per kilowatthour (2004 dollars)in 2004 <strong>to</strong> a low of 7.1 cents per kilowatthour in 2015as a result of declines in natural gas prices and, <strong>to</strong> alesser extent, coal prices. After 2015, average realelectricity prices are projected <strong>to</strong> increase, <strong>to</strong> 7.4 centsper kilowatthour in 2025 and 7.5 cents per kilowatthourin <strong>2030</strong>. In the AEO2005 reference case,electricity prices were lower in the early years of theprojection but reached about the same level in 2025.The higher near-term electricity prices projected inthe AEO<strong>2006</strong> reference case result primarily fromhigher expected fuel costs for natural-gas- and coalfiredelectric power plants.<strong>Energy</strong> ConsumptionTotal primary energy consumption in the AEO<strong>2006</strong>reference case is projected <strong>to</strong> increase at an averagerate of 1.2 percent per year, from 99.7 quadrillion Btuin 2004 <strong>to</strong> 127.0 quadrillion Btu in 2025—6.2 quadrillionBtu less than in AEO2005. In 2025, coal, nuclear,and renewable energy consumption are higher—4 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Overviewwhile petroleum and natural gas consumption arelower—in the AEO<strong>2006</strong> reference case than in AEO-2005. Among the most important fac<strong>to</strong>rs accountingfor the differences are higher energy prices, particularlyfor petroleum and natural gas; lower projectedgrowth rates in the manufacturing portion of theindustrial sec<strong>to</strong>r, which traditionally includes themost energy-intensive industries; greater penetrationby hybrid and diesel vehicles in the transportationsec<strong>to</strong>r as consumers focus more on fuelefficiency; and the impacts of the recently passedEPACT2005, which are projected <strong>to</strong> reduce energyconsumption in the residential and commercial sec<strong>to</strong>rsand slow the growth of electricity demand.As a result of demographic trends and housing preferences,delivered residential energy consumption inthe AEO<strong>2006</strong> reference case is projected <strong>to</strong> grow from11.4 quadrillion Btu in 2004 <strong>to</strong> 13.6 quadrillion Btu in2025 (Figure 2), 0.6 quadrillion Btu lower than inAEO2005. Higher projected energy prices in AEO-<strong>2006</strong> and the impacts of EPACT2005 are expected <strong>to</strong>help reduce energy consumption for space conditioningand lighting.Consistent <strong>with</strong> projected growth in commercialfloorspace in the AEO<strong>2006</strong> reference case, deliveredcommercial energy consumption is projected <strong>to</strong> reach11.5 quadrillion Btu in 2025. In comparison, theAEO2005 reference case projected 12.5 quadrillionBtu of commercial delivered energy consumption in2025. Three changes contribute <strong>to</strong> the lower projectionin AEO<strong>2006</strong>: significantly higher fossil fuelenergy prices, adoption of a revised projection of commercialfloorspace based on updated his<strong>to</strong>rical data,and the impacts of the EPACT2005 provisionsincluded in the reference case.After falling <strong>to</strong> relatively low levels in the early 1980s,industrial energy consumption recovered and peakedFigure 2. Delivered energy consumptionby sec<strong>to</strong>r, 1980-<strong>2030</strong> (quadrillion Btu)40302010His<strong>to</strong>ry<strong>Projections</strong>01980 1995 2004 2015 <strong>2030</strong>TransportationIndustrialResidentialCommercialin 1997. In the 2000 <strong>to</strong> 2003 period, industrial sec<strong>to</strong>ractivity was reduced by an economic recession. Theindustrial sec<strong>to</strong>r is projected <strong>to</strong> experience more typicaloutput growth rates over the AEO<strong>2006</strong> projectionperiod, and industrial energy consumption isexpected <strong>to</strong> reflect this trend. The industrial value ofshipments in the AEO<strong>2006</strong> reference case is projected<strong>to</strong> grow by 2.0 percent per year from 2004 <strong>to</strong> 2025,more slowly than in AEO2005 (2.2 percent per year)due <strong>to</strong> a slight slowdown in projected investmentspending, higher energy prices, and increased competitionfrom imports. Delivered industrial energy consumptionin the AEO<strong>2006</strong> reference case is projected<strong>to</strong> reach 30.6 quadrillion Btu in 2025, slightly lowerthan the AEO2005 projection of 30.8 quadrillion Btu.The AEO<strong>2006</strong> projection includes 1.2 quadrillion Btuof coal consumption in CTL plants, which was notincluded in AEO2005.Delivered energy consumption in the transportationsec<strong>to</strong>r in the AEO<strong>2006</strong> reference case is projected <strong>to</strong><strong>to</strong>tal 37.3 quadrillion Btu in 2025, 2.7 quadrillion Btulower than the AEO2005 projection. The lower levelof consumption reflects both slower growth in milestraveled and higher vehicle efficiency. Over the past20 years, light-duty vehicle travel has grown by about3 percent annually. In the AEO<strong>2006</strong> reference case itis projected <strong>to</strong> grow at a rate of 1.8 percent per yearthrough 2025 (as compared <strong>with</strong> 2.1 percent per yearin AEO2005), reflecting demographic fac<strong>to</strong>rs (forexample, the leveling off of increases in the labor forceparticipation rate for women) and higher energyprices. The projected average fuel economy of newlight-duty vehicles in 2025 is also higher in the AEO-<strong>2006</strong> reference case than was projected in AEO2005,primarily because the higher projected fuel prices inthe AEO<strong>2006</strong> forecast are expected <strong>to</strong> lead consumers<strong>to</strong> demand better fuel economy, slowing the growth insales of new pickup trucks and sport utility vehicles.Total electricity consumption, including both purchasesfrom electric power producers and on-sitegeneration, is projected <strong>to</strong> grow from 3,729 billionkilowatthours in 2004 <strong>to</strong> 5,208 billion kilowatthoursin 2025, increasing at an average annual rate of 1.6percent in the AEO<strong>2006</strong> reference case. In comparison,<strong>to</strong>tal electricity consumption of 5,467 billionkilowatthours in 2025 was projected in AEO2005.Growth in electricity use for computers, office equipment,and a variety of electrical appliances in theend-use sec<strong>to</strong>rs is partially offset in the AEO<strong>2006</strong> referencecase by improved efficiency in these and other,more traditional, electrical applications.Total consumption of natural gas in the AEO<strong>2006</strong> referencecase is projected <strong>to</strong> increase from 22.4 trillion<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 5


Overviewcubic feet in 2004 <strong>to</strong> 27.0 trillion cubic feet in 2025(Figure 3), 3.7 trillion cubic feet lower than projectedin the AEO2005 reference case, mostly as a result ofhigher natural gas prices. After peaking at 27.0 trillioncubic feet in 2024, natural gas consumption isprojected <strong>to</strong> fall slightly by <strong>2030</strong>, as higher natural gasprices result in a larger market share for coal in theelectric power sec<strong>to</strong>r in the later years of theprojection. The projected growth in natural gasdemand in AEO<strong>2006</strong> results primarily from increaseduse of natural gas for electricity generation andindustrial applications, which <strong>to</strong>gether account for 62percent of the projected demand growth from 2004 <strong>to</strong>2025. In addition, demand for natural gas in the residentialand commercial sec<strong>to</strong>rs is projected <strong>to</strong> grow by1.5 trillion cubic feet in <strong>to</strong>tal from 2004 <strong>to</strong> 2025.In the AEO<strong>2006</strong> reference case, <strong>to</strong>tal coal consumptionis projected <strong>to</strong> increase from 1,104 million short<strong>to</strong>ns in 2004 <strong>to</strong> 1,592 million short <strong>to</strong>ns in 2025(Figure 3), 84 million short <strong>to</strong>ns more than the 1,508million <strong>to</strong>ns projected <strong>to</strong> be consumed in 2025 in theAEO2005 reference case. Coal consumption is projected<strong>to</strong> grow at a faster rate in AEO<strong>2006</strong> <strong>to</strong>ward theend of the projection, particularly after 2020, as coalcaptures market share from natural gas, and as coaluse for CTL production grows. Coal was not projected<strong>to</strong> be used for CTL production in the AEO2005 referencecase. In the AEO<strong>2006</strong> reference case, coal consumptionin the electric power sec<strong>to</strong>r is projected <strong>to</strong>increase from 1,235 million short <strong>to</strong>ns in 2020 <strong>to</strong>1,502 million short <strong>to</strong>ns in <strong>2030</strong>, at an average rate of2.0 percent per year; and coal use at CTL plants isprojected <strong>to</strong> increase from 62 million short <strong>to</strong>ns in2020 <strong>to</strong> 190 million short <strong>to</strong>ns in <strong>2030</strong>.Total petroleum consumption is projected <strong>to</strong> growfrom 20.8 million barrels per day in 2004 <strong>to</strong> 26.1 millionbarrels per day in 2025 (Figure 3) in the AEO-<strong>2006</strong> reference case (1.9 million barrels per day lowerFigure 3. <strong>Energy</strong> consumption by fuel, 1980-<strong>2030</strong>(quadrillion Btu)6050403020His<strong>to</strong>ry<strong>Projections</strong>PetroleumCoalNatural gasNuclear10Nonhydrorenewables0Hydro1980 1995 2004 2015 <strong>2030</strong>than the AEO2005 projection). Petroleum demandgrowth in the AEO<strong>2006</strong> reference case is lower in allsec<strong>to</strong>rs than was projected in AEO2005, due largely <strong>to</strong>the impact of the much higher oil prices in AEO<strong>2006</strong>.Most of the difference—almost two-thirds—is in thetransportation sec<strong>to</strong>r.Total consumption of marketed renewable fuels inthe AEO<strong>2006</strong> reference case (including ethanol f<strong>org</strong>asoline blending, of which 1.0 quadrillion Btu in2025 is included <strong>with</strong> “petroleum products” consumption)is projected <strong>to</strong> grow from 6.0 quadrillionBtu in 2004 <strong>to</strong> 9.6 quadrillion Btu in 2025 (Figure 3),as a result of State programs—renewable portfoliostandards (RPS), mandates, and goals—for renewableelectricity generation, technological advances,higher petroleum and natural gas prices, and theeffects of Federal tax credits, including those inEPACT2005. In AEO2005, <strong>to</strong>tal marketed renewablefuel consumption was projected <strong>to</strong> grow <strong>to</strong> 8.5 quadrillionBtu in 2025. In AEO<strong>2006</strong>, more than 60 percen<strong>to</strong>f the projected demand for renewables in thereference case is for grid-related electricity generation,including combined heat and power (CHP), andthe rest is for dispersed heating and cooling, industrialuses, and fuel blending.<strong>Energy</strong> Intensity<strong>Energy</strong> intensity, measured as energy use per dollarof GDP (2000 dollars), is projected <strong>to</strong> decline at anaverage annual rate of 1.8 percent from 2004 <strong>to</strong> <strong>2030</strong>in the AEO<strong>2006</strong> reference case (Figure 4), <strong>with</strong> efficiencygains and structural shifts in the economydampening growth in demand for energy services.The rate of decline in energy intensity is faster thanthe 1.6-percent annual rate of decline projected inAEO2005 between 2004 and 2025, largely because ofhigher energy prices in AEO<strong>2006</strong>, resulting in generallylower projected levels of energy consumption.Figure 4. <strong>Energy</strong> use per capita and per dollar ofgross domestic product, 1980-<strong>2030</strong> (index, 1980 = 1)1.21.00.80.60.40.2His<strong>to</strong>ry<strong>Projections</strong>0.01980 1995 2004 2015 <strong>2030</strong><strong>Energy</strong>use percapita<strong>Energy</strong>use perdollarof GDP6 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


OverviewSince 1992, the energy intensity of the U.S. economyhas declined on average by 1.9 percent per year, andthe share of <strong>to</strong>tal industrial production accounted forby the energy-intensive industries has fallen sharply,by 1.3 percent per year on average from 1992 <strong>to</strong> 2004.In the AEO<strong>2006</strong> reference case, the energy-intensiveindustries’ share of <strong>to</strong>tal industrial output is projected<strong>to</strong> continue <strong>to</strong> decline, but at a slower rate of 0.8percent per year, leading <strong>to</strong> a slower rate of reductionin energy intensity.His<strong>to</strong>rically, energy use per person has varied overtime <strong>with</strong> the level of economic growth, weather conditions,and energy prices, among many other fac<strong>to</strong>rs.During the late 1970s and early 1980s, energy consumptionper capita fell in response <strong>to</strong> high energyprices and weak economic growth. Starting in the late1980s and lasting through 2000, energy consumptionper capita generally increased <strong>with</strong> declining energyprices and strong economic growth. Per capita energyuse is projected <strong>to</strong> increase in the AEO<strong>2006</strong> referencecase, <strong>with</strong> growth in demand for energy services onlypartially offset by efficiency gains. Per capita energyuse increases by an average of 0.3 percent per yearbetween 2004 and <strong>2030</strong> in the AEO<strong>2006</strong> referencecase, less than was projected in the AEO2005 referencecase, 0.5 percent per year between 2004 and2025, primarily because of the higher projectedenergy prices in AEO<strong>2006</strong>.Recently, as energy prices have risen, the potentialfor more energy conservation has received increasedattention. Although some additional energy conservationis induced by higher energy prices in the AEO-<strong>2006</strong> reference case, no policy-induced conservationmeasures are assumed beyond those in existing legislationand regulation, nor does the reference caseassume behavioral changes beyond those observed inthe past.Electricity GenerationIn the AEO<strong>2006</strong> reference case, the projected averageprices of natural gas and coal delivered <strong>to</strong> electricitygenera<strong>to</strong>rs in 2025 are, respectively, 31 cents and11 cents per million Btu higher than the comparableprices in AEO2005. Although the projected levels ofcoal consumption for electricity generation in 2025are similar in the two forecasts, higher natural gasprices and slower growth in electricity demand inAEO<strong>2006</strong> lead <strong>to</strong> significantly lower levels of naturalgas consumption for electricity generation. As aresult, projected cumulative capacity additions andgeneration from natural-gas-fired power plants arelower in the AEO<strong>2006</strong> reference case, and capacityadditions and generation from coal-fired power plantsthrough 2025 are similar <strong>to</strong> those in AEO2005.Inthelater years of the AEO<strong>2006</strong> projection, natural-gasfiredgeneration is expected <strong>to</strong> decline, displaced bygeneration from new coal-fired plants (Figure 5). TheAEO<strong>2006</strong> projection of 1,070 billion kilowatthours ofelectricity generation from natural gas in 2025 is 24percent lower than the AEO2005 projection of 1,406billion kilowatthours.In the AEO<strong>2006</strong> reference case, the natural gas shareof electricity generation (including generation in theend-use sec<strong>to</strong>rs) is projected <strong>to</strong> increase from 18 percentin 2004 <strong>to</strong> 22 percent around 2020, before falling<strong>to</strong> 17 percent in <strong>2030</strong>. The coal share is projected <strong>to</strong>decline slightly, from 50 percent in 2004 <strong>to</strong> 49 percentin 2020, before increasing <strong>to</strong> 57 percent in <strong>2030</strong>. Additions<strong>to</strong> coal-fired generating capacity in the AEO-<strong>2006</strong> reference case are projected <strong>to</strong> <strong>to</strong>tal 102gigawatts between 2004 and 2025, as compared <strong>with</strong>86 gigawatts in AEO2005. Over the entire periodfrom 2004 <strong>to</strong> <strong>2030</strong>, 174 gigawatts of new coal-firedgenerating capacity is projected <strong>to</strong> be added in theAEO<strong>2006</strong> reference case, including 19 gigawatts atCTL plants.Nuclear generating capacity in the AEO<strong>2006</strong> referencecase is projected <strong>to</strong> increase from about 100gigawatts in 2004 <strong>to</strong> about 109 gigawatts in 2019 and<strong>to</strong> remain at that level (about 10 percent of <strong>to</strong>tal U.S.generating capacity) through <strong>2030</strong>. The <strong>to</strong>tal projectedincrease in nuclear capacity between 2004 and<strong>2030</strong> includes 3 gigawatts expected <strong>to</strong> come fromuprates of existing plants that continue operating and6 gigawatts of capacity at newly constructed powerplants, stimulated by the provisions in EPACT2005,that are expected <strong>to</strong> begin operation between 2014and 2020.Additional nuclear capacity is projected in some of thealternative AEO<strong>2006</strong> cases. Total electricity generationfrom nuclear power plants is projected <strong>to</strong> growFigure 5. Electricity generation by fuel, 1980-<strong>2030</strong>(billion kilowatthours)4,0003,0002,0001,0002,094His<strong>to</strong>ryElectricity demand5,6191980 <strong>2030</strong><strong>Projections</strong>CoalNatural gasNuclearRenewables0Petroleum1980 1995 2004 2015 <strong>2030</strong><strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 7


Overviewfrom 789 billion kilowatthours in 2004 <strong>to</strong> 871 billionkilowatthours in <strong>2030</strong> in the AEO<strong>2006</strong> reference case,accounting for about 15 percent of <strong>to</strong>tal generation in<strong>2030</strong>.The use of renewable technologies for electricity generationis projected <strong>to</strong> grow, stimulated by improvedtechnology, higher fossil fuel prices, and extended taxcredits in EPACT2005 and in State renewable energyprograms (RPS, mandates, and goals). The expectedimpacts of State RPS programs, which specify aminimum share of generation or sales from renewablesources, are included in the projection. TheAEO<strong>2006</strong> reference case also includes the extensionand expansion of the Federal tax credit for renewablegeneration through December 31, 2007, as enactedin EPACT2005. Total renewable generation in theAEO<strong>2006</strong> reference case, including CHP, is projected<strong>to</strong> grow by 1.7 percent per year, from 358 billion kilowatthoursin 2004 <strong>to</strong> 559 billion kilowatthours in<strong>2030</strong>.The Clean Air Interstate Rule (CAIR) and the CleanAir Mercury Rule (CAMR), issued by the U.S. EnvironmentalProtection Agency (EPA) in March 2005,are expected <strong>to</strong> result in large reductions of pollutantemissions from power plants. In the AEO<strong>2006</strong> referencecase, projected emissions of sulfur dioxide (SO 2 )from electric power plants in 2025 are 58 percentlower, emissions of nitrogen oxide 50 percent lower,and emissions of mercury 70 percent lower than projectedin the AEO2005 reference case.<strong>Energy</strong> Production and ImportsNet imports of energy on a Btu basis are projected <strong>to</strong>meet a growing share of <strong>to</strong>tal U.S. energy demand(Figure 6). In the AEO<strong>2006</strong> reference case, netimports are expected <strong>to</strong> constitute 32 percent and 33percent of <strong>to</strong>tal U.S. energy consumption in 2025 and<strong>2030</strong>, respectively, up from 29 percent in 2004. InFigure 6. Total energy production andconsumption, 1980-<strong>2030</strong> (quadrillion Btu)150 His<strong>to</strong>ry <strong>Projections</strong>12510075502501980 1995 2004 2015 <strong>2030</strong>ConsumptionNet importsProductioncomparison, the AEO2005 reference case projected a38-percent share for net imports in 2025. Higher projectionsfor crude oil and natural gas prices in AEO-<strong>2006</strong> are expected <strong>to</strong> lead <strong>to</strong> increases in domesticenergy production (Figure 7) and reductions indemand, reducing the projected growth in imports ascompared <strong>with</strong> the AEO2005 projections.The projections for U.S. crude oil production, domesticpetroleum supply, and net petroleum imports inthe AEO<strong>2006</strong> reference case are also significantly differentfrom those in AEO2005. U.S. crude oil productionin the AEO<strong>2006</strong> reference case is projected <strong>to</strong>increase from 5.4 million barrels per day in 2004 <strong>to</strong> apeak of 5.9 million barrels per day in 2014 as a resul<strong>to</strong>f increased production offshore, predominantly fromthe deep waters of the Gulf of Mexico. Production isthen projected <strong>to</strong> fall <strong>to</strong> 4.6 million barrels per day in<strong>2030</strong>. In the AEO2005 reference case, U.S. crude oilproduction was projected <strong>to</strong> peak in 2009 at 6.2 millionbarrels per day and then fall <strong>to</strong> 4.7 million barrelsper day in 2025.Total domestic petroleum supply (crude oil, naturalgas plant liquids, refinery processing gains, and otherrefinery inputs) follows the same pattern as crude oilproduction in the AEO<strong>2006</strong> reference case, increasingfrom 8.6 million barrels per day in 2004 <strong>to</strong> a peak of10.5 million barrels per day in 2021, then declining <strong>to</strong>10.4 million barrels per day in 2025 and remaining atabout that level through <strong>2030</strong>. The AEO2005 projectionfor <strong>to</strong>tal domestic petroleum supply in 2025 waslower, at 8.8 million barrels per day.In 2025, net petroleum imports, including both crudeoil and refined products, are expected <strong>to</strong> account for60 percent of demand (on the basis of barrels per day)in the AEO<strong>2006</strong> reference case, up from 58 percent in2004. In AEO2005, net petroleum imports accountedfor 68 percent of demand in 2025. The market shareFigure 7. <strong>Energy</strong> production by fuel, 1980-<strong>2030</strong>(quadrillion Btu)His<strong>to</strong>ry<strong>Projections</strong>35 Coal302520Natural gas15Petroleum10NuclearNonhydro5renewablesHydro01980 1995 2004 2015 <strong>2030</strong>8 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Overviewof net petroleum imports grows <strong>to</strong> 62 percent ofdemand in <strong>2030</strong> in the AEO<strong>2006</strong> reference case.Despite an expected increase in distillation capacityat domestic refineries in AEO<strong>2006</strong>, net imports ofrefined petroleum products account for a growingportion of <strong>to</strong>tal net imports, increasing from 17 percentin 2004 <strong>to</strong> 22 percent in <strong>2030</strong>.Total domestic natural gas production, excluding supplementalnatural gas supplies, increases from 18.5trillion cubic feet in 2004 <strong>to</strong> 21.6 trillion cubic feet in2019, before declining <strong>to</strong> 20.8 trillion cubic feet in<strong>2030</strong> in the AEO<strong>2006</strong> reference case. In 2025, domesticnatural gas production is projected <strong>to</strong> be 21.2 trillioncubic feet, compared <strong>with</strong> 21.8 trillion cubic feetin the AEO2005 reference case. The lower level ofdomestic natural gas production in the AEO<strong>2006</strong> referencecase is entirely attributable <strong>to</strong> lower levels ofoffshore production. Offshore natural gas productionin 2025 is lower in the AEO<strong>2006</strong> reference case than itwas in AEO2005, due at least in part <strong>to</strong> the impacts ofHurricanes Katrina and Rita, which are expected <strong>to</strong>delay offshore drilling projects because of a lack ofrigs and <strong>to</strong> have a long-term effect on production levelsas a result of the slow recovery of production fromexisting fields.The incorporation of EIA data showing a lower levelof new reserve discoveries in 2004 than had beenanticipated also affects the long-term forecast for offshorenatural gas production. Lower 48 offshore productionis projected <strong>to</strong> fall slightly from the 2004 levelof 4.3 trillion cubic feet and then grow steadilythrough 2015, peaking at 5.1 trillion cubic feet as newresources come on line in the Gulf of Mexico. After2015, lower 48 offshore production declines <strong>to</strong> 4.3 trillioncubic feet in 2025 and 4.0 trillion cubic feet in<strong>2030</strong>. In the AEO2005 reference case, offshore naturalgas production was projected <strong>to</strong> increase morequickly and reach higher levels, peaking at 5.3 trillioncubic feet in 2014 before falling <strong>to</strong> 4.9 trillion cubicfeet in 2025. The projection for onshore production ofnatural gas is also generally lower for most of the projectionperiod in the AEO<strong>2006</strong> reference case thanwas projected in AEO2005. In the later years of theAEO<strong>2006</strong> reference case, however, <strong>with</strong> higher naturalgas prices, onshore production grows strongly, <strong>to</strong>14.7 trillion cubic feet in 2025—equal <strong>to</strong> the AEO-2005 projection. Projected onshore production inAEO<strong>2006</strong> remains at the 2025 level through <strong>2030</strong>.Lower 48 production of unconventional natural gas isexpected <strong>to</strong> be a major contribu<strong>to</strong>r <strong>to</strong> growth in U.S.natural gas supplies. Unconventional natural gas productionis projected <strong>to</strong> account for 45 percent ofdomestic U.S. natural gas production in <strong>2030</strong>, ascompared <strong>with</strong> the AEO2005 reference case projectionof 39 percent in 2025. In AEO<strong>2006</strong>, however,unconventional natural gas production is lower in themid-term (between <strong>2006</strong> and 2020) than was projectedin AEO2005. The lower levels of production inAEO<strong>2006</strong> before 2021 reflect a decline in overall naturalgas consumption in response <strong>to</strong> higher prices.Starting in 2021, the projected levels of unconventionalnatural gas production in the AEO<strong>2006</strong> referencecase are higher than those in AEO2005, reaching9.5 trillion cubic feet in <strong>2030</strong>.Construction planning for the Alaska natural gaspipeline is expected <strong>to</strong> start soon, and the new pipelineis expected <strong>to</strong> be completed by 2015. When thepipeline goes in<strong>to</strong> operation, Alaska’s <strong>to</strong>tal naturalgas production is projected <strong>to</strong> increase <strong>to</strong> 2.2 trillioncubic feet in 2025 (from 0.4 trillion cubic feet in 2004),the same level as projected in the AEO2005 referencecase.The projection for net U.S. pipeline imports of naturalgas from Canada and Mexico (predominantly Canada)in the AEO<strong>2006</strong> reference case in 2025 is 1.3trillion cubic feet lower than was projected in AEO-2005. AEO<strong>2006</strong> projects a continued decline in netpipeline imports, <strong>to</strong> 1.2 trillion cubic feet in <strong>2030</strong>, as aresult of depletion effects and growing domesticdemand in Canada. The AEO<strong>2006</strong> reference casereflects an expectation that growth in Canada’sunconventional natural gas production (primarilyfrom coal seams) will not be adequate <strong>to</strong> offset adecline in conventional production in Alberta, basedin part on data and projections from Canada’sNational <strong>Energy</strong> Board and other sources.Growth in LNG imports is projected <strong>to</strong> meet much ofthe increased demand for natural gas in the AEO<strong>2006</strong>reference case, but the increase is less than was projectedin the AEO2005 reference case. The growth inLNG imports is moderated by three fac<strong>to</strong>rs: highernatural gas prices reduce domestic consumption;higher world oil prices increase worldwide demandfor natural gas and LNG imports, which raises theprice of LNG; and, <strong>to</strong> a lesser extent, higher world oilprices lead <strong>to</strong> higher foreign demand for GTL production,which uses more natural gas as a feeds<strong>to</strong>ck,further increasing the price pressure on natural gasand LNG. Except for expansions of three of the fourexisting onshore U.S. LNG terminals (Cove Point,Maryland; Elba Island, Ge<strong>org</strong>ia; and Lake Charles,Louisiana), the completion of U.S. terminals currentlyunder construction, and the addition of newfacilities <strong>to</strong> serve the Gulf Coast, Southern California,Florida, and New England, no other new facilities are<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 9


Overviewprojected <strong>to</strong> be built <strong>to</strong> serve U.S. markets in theAEO<strong>2006</strong> reference case.Total net imports of LNG <strong>to</strong> the United States in theAEO<strong>2006</strong> reference case are projected <strong>to</strong> increasefrom 0.6 trillion cubic feet in 2004 <strong>to</strong> 4.1 trillion cubicfeet in 2025 (about two-thirds of the import volumesprojected in the AEO2005 reference case) and <strong>to</strong> 4.4trillion cubic feet in <strong>2030</strong>. In some of the AEO<strong>2006</strong>alternative cases, however, particularly those <strong>with</strong>relatively higher natural gas prices, additional LNGimports and new terminals are projected.As domestic coal demand grows in the AEO<strong>2006</strong> referencecase, U.S. coal production increases at an averagerate of 1.5 percent per year, from 1,125 million<strong>to</strong>ns in 2004 <strong>to</strong> 1,530 million <strong>to</strong>ns in 2025 (higherthan the 2025 projection of 1,488 million <strong>to</strong>ns in AEO-2005) and <strong>to</strong> 1,703 million <strong>to</strong>ns in <strong>2030</strong>. Productionfrom mines west of the Mississippi River is expected<strong>to</strong> provide the largest share of the incremental coalproduction. In <strong>2030</strong>, almost 63 percent of coal productionis projected <strong>to</strong> originate from the western Statesif coal transportation costs remain stable.Typically, U.S. coal production is driven by demandfor electricity generation; however, projected electricitydemand in 2025 is lower in AEO<strong>2006</strong> than in AEO-2005, and the projected demand for coal in the electricpower sec<strong>to</strong>r in 2025 is also lower (1,354 million <strong>to</strong>nsin the AEO<strong>2006</strong> reference case, compared <strong>with</strong> 1,425million <strong>to</strong>ns in the AEO2005 reference case), despitegreater reliance on coal for electric power generationin the AEO<strong>2006</strong> forecast. The projected increase incoal production in AEO<strong>2006</strong> is the result of higherlevels of coal use in CTL production, projected <strong>to</strong> grow<strong>to</strong> 62 million short <strong>to</strong>ns in 2020 and 190 million short<strong>to</strong>ns in <strong>2030</strong>. No coal use for CTL production was projectedin the AEO2005 reference case.Carbon Dioxide EmissionsCarbon dioxide (CO 2 ) emissions from energy use areprojected <strong>to</strong> increase from 5,900 million metric <strong>to</strong>nsin 2004 <strong>to</strong> 7,587 million metric <strong>to</strong>ns in 2025 and 8,114million metric <strong>to</strong>ns in <strong>2030</strong> in the AEO<strong>2006</strong> referencecase (Figure 8), an average annual increase of 1.2 percentper year. The CO 2 emissions intensity of the U.S.economy is projected <strong>to</strong> fall from 549 metric <strong>to</strong>ns permillion dollars of GDP in 2004 <strong>to</strong> 377 metric <strong>to</strong>ns permillion dollars of GDP in 2025, an average decline of1.8 percent per year, and <strong>to</strong> 351 metric <strong>to</strong>ns per milliondollars of GDP in <strong>2030</strong>. In comparison, theAEO2005 reference case projected a 1.5-percent averageannual decline in emissions intensity between2004 and 2025 and 8,062 million metric <strong>to</strong>ns of CO 2emissions in 2025.Projected CO 2 emissions in 2025 are lower in all sec<strong>to</strong>rsin the AEO<strong>2006</strong> reference case than they were inAEO2005, as higher energy prices slow energy consumptiongrowth in all sec<strong>to</strong>rs. Total primary energyconsumption in 2025 is more than 6 quadrillion Btulower in AEO<strong>2006</strong> than was projected in AEO2005.Some of the effect of the lower projected consumptionon CO 2 emissions in the AEO<strong>2006</strong> reference case after2020 is offset by a proportionately higher share of coaluse for electricity generation and the increased use ofcoal at CTL plants.Figure 8. Projected U.S. carbon dioxide emissions bysec<strong>to</strong>r and fuel, 1990-<strong>2030</strong> (million metric <strong>to</strong>ns)10,000TransportationIndustrialCommercial8,000Residential6,0004,0002,00001990 2004 2010 <strong>2030</strong>CoalNatural gasPetroleum10 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


OverviewTable 1. Total energy supply and disposition in the AEO<strong>2006</strong> reference case: summary, 2003-<strong>2030</strong><strong>Energy</strong> and economic fac<strong>to</strong>rs 2003 2004 2010 2015 2020 2025 <strong>2030</strong>Average annualchange, 2004-<strong>2030</strong>Primary energy production (quadrillion Btu)Petroleum ............................. 14.40 13.93 14.83 14.94 14.41 13.17 12.25 -0.5%Dry natural gas ......................... 19.63 19.02 19.13 20.97 22.09 21.80 21.45 0.5%Coal. ................................. 22.12 22.86 25.78 25.73 27.30 30.61 34.10 1.6%Nuclear power. ......................... 7.96 8.23 8.44 8.66 9.09 9.09 9.09 0.4%Renewable energy ...................... 5.69 5.74 7.08 7.43 8.00 8.61 9.02 1.8%Other. ................................ 0.72 0.64 2.16 2.85 3.16 3.32 3.44 6.7%Total ................................ 70.52 70.42 77.42 80.58 84.05 86.59 89.36 0.9%Net imports (quadrillion Btu)Petroleum ............................. 24.19 25.88 26.22 28.02 30.39 33.11 36.49 1.3%Natural gas ............................ 3.39 3.49 4.45 5.23 5.15 5.50 5.72 1.9%Coal/other (- indicates export). ............. -0.45 -0.42 -0.58 0.20 0.90 1.54 2.02 NATotal ................................ 27.13 28.95 30.09 33.44 36.44 40.15 44.23 1.6%Consumption (quadrillion Btu)Petroleum products. ..................... 38.96 40.08 43.14 45.69 48.14 50.57 53.58 1.1%Natural gas ............................ 23.04 23.07 24.04 26.67 27.70 27.78 27.66 0.7%Coal. ................................. 22.38 22.53 25.09 25.66 27.65 30.89 34.49 1.7%Nuclear power. ......................... 7.96 8.23 8.44 8.66 9.09 9.09 9.09 0.4%Renewable energy ...................... 5.70 5.74 7.08 7.43 8.00 8.61 9.02 1.8%Other. ................................ 0.02 0.04 0.07 0.08 0.05 0.05 0.05 0.9%Total ................................ 98.05 99.68 107.87 114.18 120.63 126.99 133.88 1.1%Petroleum (million barrels per day)Domestic crude production ................ 5.69 5.42 5.88 5.84 5.55 4.99 4.57 -0.7%Other domestic production ................ 3.10 3.21 3.99 4.50 4.90 5.45 5.84 2.3%Net imports ............................ 11.25 12.11 12.33 13.23 14.42 15.68 17.24 1.4%Consumption. .......................... 20.05 20.76 22.17 23.53 24.81 26.05 27.57 1.1%Natural gas (trillion cubic feet)Production. ............................ 19.11 18.52 18.65 20.44 21.52 21.24 20.90 0.5%Net imports ............................ 3.29 3.40 4.35 5.10 5.02 5.37 5.57 1.9%Consumption. .......................... 22.34 22.41 23.35 25.91 26.92 26.99 26.86 0.7%Coal (million short <strong>to</strong>ns)Production. ............................ 1,083 1,125 1,261 1,272 1,355 1,530 1,703 1.6%Net imports ............................ -18 -21 -26 5 36 63 83 NAConsumption. .......................... 1,095 1,104 1,233 1,276 1,390 1,592 1,784 1.9%Prices (2004 dollars)Imported low-sulfur light crude oil(dollars per barrel). ...................... 31.72 40.49 47.29 47.79 50.70 54.08 56.97 1.3%Imported crude oil (dollars per barrel). ....... 28.46 35.99 43.99 43.00 44.99 47.99 49.99 1.3%Domestic natural gas at wellhead(dollars per thousand cubic feet). ........... 5.08 5.49 5.03 4.52 4.90 5.43 5.92 0.3%Domestic coal at minemouth(dollars per short <strong>to</strong>n) .................... 18.40 20.07 22.23 20.39 20.20 20.63 21.73 0.3%Average electricity price(cents per kilowatthour). .................. 7.6 7.6 7.3 7.1 7.2 7.4 7.5 0.0%Economic indica<strong>to</strong>rsReal gross domestic product(billion 2000 dollars) ..................... 10,321 10,756 13,043 15,082 17,541 20,123 23,112 3.0%GDP chain-type price index(index, 2000=1.000) ..................... 1.063 1.091 1.235 1.398 1.597 1.818 2.048 2.5%Real disposable personal income(billion 2000 dollars) ..................... 7,742 8,004 9,622 11,058 13,057 15,182 17,562 3.1%Value of manufacturing shipments(billion 2000 dollars) ..................... 5,378 5,643 6,355 7,036 7,778 8,589 9,578 2.1%<strong>Energy</strong> intensity(thousand Btu per 2000 dollar of GDP). ..... 9.51 9.27 8.28 7.58 6.88 6.32 5.80 -1.8%Carbon dioxide emissions(million metric <strong>to</strong>ns) ..................... 5,785 5,900 6,365 6,718 7,119 7,587 8,114 1.2%Notes: Quantities are derived from his<strong>to</strong>rical volumes and assumed thermal conversion fac<strong>to</strong>rs. Other production includes liquidhydrogen, methanol, supplemental natural gas, and some inputs <strong>to</strong> refineries. Net imports of petroleum include crude oil, petroleumproducts, unfinished oils, alcohols, ethers, and blending components. Other net imports include coal coke and electricity. Some refineryinputs appear as petroleum product consumption. Other consumption includes net electricity imports, liquid hydrogen, and methanol.Source: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 11


Legislation andRegulations


Legislation and RegulationsIntroductionBecause analyses by EIA are required <strong>to</strong> be policy-neutral,the projections in AEO<strong>2006</strong> generally arebased on Federal and State laws and regulations ineffect on or before Oc<strong>to</strong>ber 31, 2005. The potentialimpacts of pending or proposed legislation,regulations, and standards—or of sections oflegislation that have been enacted but thatrequire implementing regulations or appropriationof funds that are not provided or specifiedin the legislation itself—are not reflectedin the projections.Selected examples of Federal and State legislationincorporated in the projections include the following:• EPACT2005, which, among other actions, includesmanda<strong>to</strong>ry energy conservation standards;creates numerous tax credits for businesses andindividuals, covering energy-efficient appliances,hybrid vehicles, small biodiesel producers, andnew nuclear power capacity; creates a renewablefuels standard (RFS); eliminates the oxygen contentrequirement for Federal reformulated gasoline(RFG); extends royalty relief for offshore oiland natural gas producers; and extends and expandsthe production tax credit (PTC) for electricitygenerated from renewable fuels• The Military Construction Appropriations Ac<strong>to</strong>f 2005, which contains provisions <strong>to</strong> supportconstruction of the Alaska natural gas pipeline,including Federal loan guarantees during construction• The Working Families Tax Relief Act of 2004,which includes an extension of the 1.8-cent PTCfor electricity generated from wind and closedloopbiomass <strong>to</strong> December 31, 2005; tax deductionsfor qualified clean-fuel and electric vehicles;and changes in the rules governing oil and naturalgas well depletion• The American Jobs Creation Act of 2004, whichincludes incentives and tax credits for biodieselfuels, a modified depreciation schedule for theAlaska natural gas pipeline, and an expansion ofthe 1.8-cent renewable energy PTC <strong>to</strong> include geothermaland solar generation technologies• The Maritime Security Act of 2002, whichamended the Deepwater Port Act of 1974 <strong>to</strong> includeoffshore natural gas facilities• State renewable portfolio standard (RPS) programs,including the California RPS passed onSeptember 12, 2002• The State of Alaska’s Right-of-Way Leasing ActAmendments of 2001, which prohibit leasesacross State land for a “northern” or “over-the<strong>to</strong>p”natural gas pipeline route running east fromthe North Slope <strong>to</strong> Canada’s MacKenzie RiverValley• The Outer Continental Shelf Deep Water RoyaltyRelief Act of 1995 and subsequent provisions onroyalty relief for new leases issued after November2000 on a lease-by-lease basis• The Omnibus Budget Reconciliation Act of 1993,which added 4.3 cents per gallon <strong>to</strong> the Federaltax on highway fuels• The <strong>Energy</strong> Policy Act of 1992 (EPACT1992)• The Clean Air Act Amendments of 1990(CAAA90), which included new standards for mo<strong>to</strong>rgasoline and diesel fuel and for heavy-duty vehicleemissions• The National Appliance <strong>Energy</strong> Conservation Ac<strong>to</strong>f 1987• State programs for restructuring of the electricityindustry.AEO<strong>2006</strong> assumes that State taxes on gasoline, diesel,jet fuel, and E85 (fuel containing a blend of 70 <strong>to</strong>85 percent ethanol and 30 <strong>to</strong> 15 percent gasoline byvolume) will increase <strong>with</strong> inflation, and that Federaltaxes on those fuels will continue at 2003 levels (thelast time the Federal taxes were changed) in nominalterms. AEO<strong>2006</strong> also assumes that the ethanol taxcredit as modified under the American Jobs CreationAct of 2004 will be extended when it expires in 2010and will remain in force indefinitely. Although thesetax and tax incentive provisions include “sunset”clauses that limit their duration, they have beenextended his<strong>to</strong>rically, and AEO<strong>2006</strong> assumes theircontinuation throughout the forecast. AEO<strong>2006</strong> alsoincludes the biodiesel tax credits created underEPACT2005, but they are not assumed <strong>to</strong> beextended, because they have no his<strong>to</strong>ry of legislativeextension.Selected examples of Federal and State regulationsincorporated in AEO<strong>2006</strong> include the following:• CAIR and CAMR—promulgated by the EPA inMarch 2005 and published in the Federal Registeras final rules in May 2005—which will limit emissionsfrom power plants in the United States• New boiler limits established by the EPA on February26, 2004, which limit emissions of hazardousair pollutants from industrial, commercial,14 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and Regulationsand institutional boilers and process heaters byrequiring that they comply <strong>with</strong> a MaximumAchievable Control Technology (MACT) floor• Corporate average fuel economy (CAFE) standardsfor light trucks promulgated by the NationalHighway Traffic Safety Administration(NHTSA) in 2003 (but not the new proposed increasein fuel economy standards for light trucksbased on vehicle footprint in model years 2008through 2011, which have not been promulgated)• The December 2002 Hackberry Decision, whichterminated open access requirements for new onshorereceiving terminals for LNGAEO<strong>2006</strong> includes the CAAA90 requirement of aphased-in reduction in vehicle emissions of regulatedpollutants. It also reflects “Tier 2” Mo<strong>to</strong>r VehicleEmissions Standards and Gasoline Sulfur ControlRequirements finalized by the EPA in February 2000under CAAA90. The Tier 2 standards for RFG wererequired by 2004, but because they included allowancesfor small refineries, they will not be fully realizedfor conventional gasoline until 2008. AEO<strong>2006</strong>also incorporates the ultra-low-sulfur diesel fuel(ULSD) regulation finalized by the EPA in December2000, which requires the production of at least 80 percentULSD (15 parts sulfur per million) highway dieselbetween June <strong>2006</strong> and June 2010 and 100percent ULSD thereafter. It also includes the rulesfor nonroad diesel issued by the EPA on May 11, 2004,regulating nonroad diesel engine emissions and sulfurcontent in fuel.The AEO<strong>2006</strong> projections reflect legislation that bansor limits the use of the gasoline blending componentmethyl tertiary butyl ether (MTBE) in the next severalyears in 25 States. It is assumed that MTBE willbe phased out completely by the end of 2008 as aresult of EPACT2005, which repealed the oxygenaterequirement for RFG.More detailed information on recent and proposedlegislative and regula<strong>to</strong>ry developments is providedbelow.EPACT2005 SummaryThe U.S. House of Representatives passed H.R. 6 EH,the <strong>Energy</strong> Policy Act of 2005, on April 21, 2005, andthe Senate passed H.R. 6 EAS on June 28, 2005. Aconference committee was convened <strong>to</strong> resolve differencesbetween the two bills, and a report wasapproved and issued on July 27, 2005. The Houseapproved the conference report on July 28, 2005, andthe Senate followed on July 29, 2005. EPACT2005was signed in<strong>to</strong> law by President Bush on August 8,2005, and became Public Law 109-058 [1].Consistent <strong>with</strong> the general approach adopted in theAEO, provisions in EPACT2005 that require fundingappropriations <strong>to</strong> implement, whose impact is highlyuncertain, or that require further specification byFederal agencies or Congress are not included inAEO<strong>2006</strong>. For example, EIA does not try <strong>to</strong> anticipatepolicy responses <strong>to</strong> the many studies required byEPACT2005, nor <strong>to</strong> predict the impact of R&D fundingauthorizations included in the bill. Moreover,AEO<strong>2006</strong> does not include any provision thataddresses a level of detail beyond that modeled inEIA’s National <strong>Energy</strong> Modeling System (NEMS),which was used <strong>to</strong> develop the AEO<strong>2006</strong> projections.AEO<strong>2006</strong> includes only about 30 sections ofEPACT2005, which establish specific tax credits,incentives, or standards in the following areas:• Manda<strong>to</strong>ry energy conservation standards for<strong>to</strong>rchiere lamps, dehumidifiers, and ceiling fanlight kits in the residential sec<strong>to</strong>r and for lightingequipment, packaged air conditioning and heatingequipment, refrigera<strong>to</strong>r and freezer equipment,au<strong>to</strong>matic icemakers, pre-rinse sprayvalves, exit signs, distribution transformers, andtraffic signals in the commercial sec<strong>to</strong>r• Tax credits for businesses and builders investingin energy efficiency and renewable energy properties;for purchasers of energy-efficient equipment,including water heaters, air conditioners, heatpumps, furnaces, boilers, windows, and otherenergy-efficient building shell products; for producersof energy-efficient clothes washers, dishwashers,and refrigera<strong>to</strong>rs; for purchasers of solarwater heaters, solar pho<strong>to</strong>voltaic (PV) equipment,and fuel cells; for businesses investing in fuel cellsand microturbines; and for businesses investingin solar energy properties• Tax credits for the purchase of vehicles <strong>with</strong> leanburn engines or <strong>with</strong> hybrid or fuel cell propulsionsystems• An RFS that requires the production and use ofdefined amounts of renewable fuel by specificdates• Elimination of the oxygen content requirementfor RFG• Extension of tax credits for biodiesel producersand small ethanol producers• A tax credit for small agri-biodiesel producers<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 15


Legislation and Regulations• Royalty relief for oil and natural gas production inwater depths greater than 400 meters in the Gulfof Mexico• Restrictions on new oil and natural gas drilling inor under the Great Lakes• Reduction of the existing capital recovery periodfor new electric transmission and distribution assetsfrom 20 years <strong>to</strong> 15 years• Expansion of the amortization period for pollutioncontrol equipment on coal-fired power plantsfrom 5 years <strong>to</strong> 7 years• A PTC of 1.8 cents per kilowatthour for up <strong>to</strong>6,000 megawatts of new nuclear capacity brough<strong>to</strong>nline before 2021• An investment tax credit for the construction anddevelopment of new or repowered coal-fired generatingprojects• Extension, modification, and expansion of thePTC for renewable electricity generation.The following discussion provides a summary of theprovisions in EPACT2005 that are included inAEO<strong>2006</strong> and some of the provisions that could beincluded if more complete information were availableabout their funding and implementation. This discussionis not a complete summary of all the sections ofEPACT2005. More extensive summaries are availablefrom other sources [2].End-Use DemandThis section summarizes the provisions of EPACT-2005 that affect the end-use demand sec<strong>to</strong>rs.BuildingsEPACT2005 includes provisions <strong>with</strong> the potential <strong>to</strong>affect energy demand in the residential and commercialbuildings sec<strong>to</strong>r. Many are included in Title I,“<strong>Energy</strong> Efficiency.” Others can be found in therenewable energy, R&D, and tax titles.Sections 101 through 105 and Section 109 addressFederal energy use, allowing for energy conservationmeasures in congressional buildings (Section 101);updating Executive Order mandates regarding Federalpurchasing requirements and energy intensityreductions (Sections 102 through 104); extending theuse of <strong>Energy</strong> Savings Performance Contracts <strong>to</strong>finance projects through 2016 (Section 105); andupdating performance standards for Federal buildings(Section 109). The Federal purchasing requirementsand performance standards are represented inNEMS as a result of earlier Executive Orders. Otheraspects of these provisions address a level of detailthat is not modeled in NEMS.Sections 135 and 136 establish or tighten manda<strong>to</strong>ryenergy conservation standards for a number of residentialproducts and appliances and commercialequipment, affecting projected residential and commercialenergy use. Standards for <strong>to</strong>rchiere lamps areexplicitly modeled in NEMS, allowing for a directaccounting of energy savings from a maximum wattallowance. Savings resulting from standards for residentialdehumidifiers and ceiling fan light kits, basedon shipment estimates, are phased in over theAEO<strong>2006</strong> forecast period <strong>to</strong> account for capital s<strong>to</strong>ckturnover. Standards for explicitly modeled commercialequipment, including lighting equipment, packagedair conditioning and heating equipment,refrigera<strong>to</strong>r and freezer equipment, and au<strong>to</strong>maticicemakers, are directly represented in the AEO<strong>2006</strong>projections. Savings resulting from standards for exitsigns, traffic signals, distribution transformers, andpre-rinse spray valves are estimated and phased inover the AEO<strong>2006</strong> forecast period <strong>to</strong> account for capitals<strong>to</strong>ck turnover.Provisions under Title XIII provide tax credits <strong>to</strong>businesses and individuals for investment in energyefficiency and renewable energy properties. Section1332 provides a tax credit of $1,000 or $2,000 <strong>to</strong> buildersof homes that are 30 or 50 percent more efficientthan current code in <strong>2006</strong> and 2007. Section 1333allows tax credits for purchasers of energy-efficientequipment, including water heaters, air conditioners,heat pumps, furnaces, boilers, windows, and otherenergy-efficient building shell products. The credit isavailable in <strong>2006</strong> and 2007, and the amount varies<strong>with</strong> the technology purchased. Section 1334 providesa tax credit for producers of energy-efficient clotheswashers, dishwashers, and refrigera<strong>to</strong>rs. Section1335 provides tax credits for purchasers of solarwater heaters, solar PV equipment, and fuel cells forthe years <strong>2006</strong> and 2007. All these tax credits are representedin AEO<strong>2006</strong>. For modeling purposes, it isassumed that the credits will be passed on <strong>to</strong> consumersin the form of lower first costs for purchases of theproducts specified.Section 1336 provides a business investment taxcredit of 30 percent for fuel cells and 10 percent formicroturbines, and Section 1337 increases the businessinvestment tax credit for solar property from thecurrent level of 10 percent <strong>to</strong> 30 percent. These provisions,which apply <strong>to</strong> property installed in <strong>2006</strong> or2007, are included in AEO<strong>2006</strong>.16 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and RegulationsIndustrialEPACT2005 includes few provisions that specificallyaffect industrial sec<strong>to</strong>r energy demand. Provisions inthe R&D titles that may affect industrial energy consumptionover the long term are not included inAEO<strong>2006</strong>.Section 108 requires that federally funded projectsinvolving cement or concrete increase the amount ofrecovered mineral component (e.g., fly ash or blastfurnace slag) used in the cement. Such use of mineralcomponents is a standard industry practice, andincreasing the amount could reduce both the quantityof energy used for cement clinker production and thelevel of process-related CO 2 emissions. Because theproportion of mineral component is not specified inthe legislation, this provision is not included inAEO<strong>2006</strong>. When regulations are promulgated, theirestimated impact could be modeled in NEMS.Section 1321 extends the Section 29 PTC for nonconventionalfuel <strong>to</strong> facilities producing coke or cokegas. The credit is available for plants placed in servicebefore 1993 and between 1998 and 2010. Each plantcan claim the credit for 4 years; however, the <strong>to</strong>talcredit is limited <strong>to</strong> an annual average of 4,000 barrelsof oil equivalent (BOE) per day. The value of thecredit is currently $3.00 per BOE, and it will beadjusted for inflation in the future indexed <strong>to</strong> 2004.Previously, the $3.00 credit had been indexed <strong>to</strong> 1979,and its value in 2004 was estimated at $6.56 per BOE[3]. Because the bulk of the credits will go <strong>to</strong> plantsalready operating or under construction, there islikely <strong>to</strong> be little impact on coke plant capacity.TransportationEPACT2005 includes many provisions <strong>with</strong> potentialeffects on energy demand, alternative fuel use, andvehicle emissions in the transportation sec<strong>to</strong>r. Theseprovisions provide for research, development, anddemonstration (RD&D) of technologies and alternativefuels. These provisions are not reflected inAEO<strong>2006</strong> because of the uncertainty associated <strong>with</strong>the impacts of RD&D programs. The act also calls forpolicy studies and tax incentives <strong>to</strong> promote improvedenergy efficiency and increase alternative fuel use.Provisions specific <strong>to</strong> the supply of alternative transportationfuels are discussed below, in the sections onpetroleum and renewable energy.EPACT2005 provides a tax credit for the purchaseof vehicles that have lean burn engines or employhybrid or fuel cell propulsion systems. The amount ofthe credit is based the vehicle’s inertia weight,improvement in city-tested fuel economy relative <strong>to</strong>an equivalent 2002 base year value, emissions classification,and type of propulsion system. The tax creditis also sales-limited, by manufacturer, for vehicles<strong>with</strong> lean burn engines or hybrid propulsion systems.A phaseout period begins <strong>with</strong> the first calendar quarterafter December 31, 2005, in which a manufacturer’ssales of lean burn or hybrid vehicles reach60,000 units. Reduction of the credits begins in thefollowing quarter. For that quarter and the next, theapplicable tax credit will be reduced by 50 percent.For the next two quarters, the tax credit will bereduced <strong>to</strong> 25 percent of the original value. These taxcredits are included in AEO<strong>2006</strong>.Petroleum, Ethanol, and Biofuel ProvisionsThis section summarizes the numerous provisions ofEPACT2005 affecting the supply, composition, andrefining of petroleum and related products that areincluded in AEO<strong>2006</strong>.Renewable Fuels StandardSection 1501 includes an RFS that requires the productionand use of 4.0 billion gallons of renewablefuels in <strong>2006</strong>, increasing <strong>to</strong> 7.5 billion gallons in 2012.For calendar year 2013 and each year thereafter, theminimum required volume of renewable fuels wouldbe an amount equal <strong>to</strong> the percentage of <strong>to</strong>tal gasolinesold in the Nation in that year that was representedby 7.5 billion gallons in 2012. In addition, starting in2013, the required amount of renewable fuels mustinclude a minimum of 250 million gallons derivedfrom cellulosic biomass. Small refineries <strong>with</strong> a capacitynot exceeding 75,000 barrels per calendar day areexempted from the RFS until 2011. NoncontiguousStates or terri<strong>to</strong>ries (Alaska, Hawaii, Puer<strong>to</strong> Rico,Guam, etc.) are not covered but could petition <strong>to</strong> jointhe renewable fuels program. Both ethanol andbiodiesel are considered <strong>to</strong> be renewable fuels, and a2.5-gallon credit <strong>to</strong>ward the RFS is provided for everygallon of cellulosic biomass ethanol produced. A programof renewable fuels credits would allow refiners,blenders, and importers flexibility <strong>to</strong> comply <strong>with</strong> theRFS across geographical regions and over successiveyears.The RFS is modeled in AEO<strong>2006</strong>, both for the minimumrequired volumes and for ethanol derived fromcellulosic biomass. Actual renewable fuel suppliesmay or may not exceed those minimum requirements,depending on the relative costs of renewable fuels andcompeting petroleum products. In the AEO<strong>2006</strong> referencecase, ethanol consumption is projected <strong>to</strong>exceed the RFS, because it is projected <strong>to</strong> be available<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 17


Legislation and Regulationsat relatively low cost. AEO<strong>2006</strong> implicitly reflects theethanol production and consumption behavior thatresembles the effect of a national RFS credit tradingsystem, resulting in ethanol blending in gasoline thatvaries by region.Elimination of Oxygen Requirement forReformulated GasolineSection 1504 eliminates the oxygen content requirementfor RFG. This provision takes effect immediatelyin California and 270 days after enactment ofEPACT2005 in the rest of the RFG regions. Withoutthe oxygen content requirement, refiners are likely <strong>to</strong>phase out MTBE in gasoline as soon as practical <strong>to</strong>minimize exposure <strong>to</strong> environmental liabilities in thefuture. Several refiners have announced plans <strong>to</strong> s<strong>to</strong>pmaking MTBE when the oxygen content requirementexpires. Also in Section 1504, volatile <strong>org</strong>anic compound(VOC) Control Regions 1 (southern) and 2(northern) for RFG would be consolidated by eliminatingthe less stringent requirements applicable <strong>to</strong>gasoline designated for VOC Control Region 2.Elimination of the oxygen requirement for RFG isincluded in AEO<strong>2006</strong>. MTBE is assumed <strong>to</strong> be phasedout in all regions by the end of 2008. Ethanol is likely<strong>to</strong> be favored in RFG blending in most regions, basedon economics and its other attractive blending characteristics,such as high octane value.Biofuel Tax CreditsCurrently, gasoline and highway diesel fuel excisetaxes are 18.4 and 24.4 cents per gallon, respectively.For each gallon of highway fuel, 0.1 cent is depositedin the Leaking Underground S<strong>to</strong>rage Tank TrustFund, which is extended through 2011 under Section1362 of EPACT2005. The volumetric excise tax creditprogram, established in the American Jobs CreationAct of 2004, covers both ethanol and biodiesel. Itallows producers <strong>to</strong> claim the tax credit directly onbiofuels: 51 cents per gallon of ethanol, $1 per gallonof biodiesel made from agricultural commodities suchas soybean oil, and 50 cents per gallon of biodieselmade from recycled oil such as yellow grease. Thebiodiesel tax credit is extended through 2008 underSection 1344 of EPACT2005, and the ethanol taxcredit was previously extended through 2010 underthe American Jobs Creation Act of 2004. His<strong>to</strong>rically,the ethanol tax credit has been extended when itexpired; AEO<strong>2006</strong> assumes that it will remain inforce indefinitely. The biodiesel tax credits areincluded in AEO<strong>2006</strong>, but it is not assumed that theywill be extended indefinitely, because they are relativelynew and have only a short his<strong>to</strong>ry of legislativeextension.Section 1345 provides for an additional credit up <strong>to</strong> 10cents per gallon for small agri-biodiesel producers<strong>with</strong> annual production of 15 million gallons or less.Small ethanol producers currently cannot have productioncapacity above 30 million gallons per year <strong>to</strong>qualify for the special credit. Section 1347 raises thecapacity limit <strong>to</strong> 60 million gallons per year. AEO<strong>2006</strong>includes both the credit for small agri-biodiesel producersand the change in the application of the creditfor small ethanol producers.Tax Incentives Related <strong>to</strong> Petroleum RefiningSection 1323 provides temporary expensing for refineryinvestments, which would allow taxpayers <strong>to</strong>depreciate immediately 50 percent of the cost of allinvestment that increases the capacity of an existingrefinery by at least 5 percent or increases thethroughput of qualified fuels by at least 25 percent.Qualified fuels include oil from shale and tar sands.As a condition of eligibility, refiners of liquid fuelsmust report the details of refinery operations <strong>to</strong> theInternal Revenue Service. Section 392 also authorizesthe EPA, in a cooperative agreement <strong>with</strong> a State, <strong>to</strong>streamline the review of a refinery permit application.Because NEMS does not model individual refineryinvestment decisions, this provision is notincluded in AEO<strong>2006</strong>.Natural Gas ProvisionsEPACT2005 contains several provisions intended <strong>to</strong>encourage or facilitate the development of domesticoil and natural gas resources and the domestic infrastructurefor importing LNG. Most are in Title III,“Oil and Gas.” Others, covering R&D and tax measures,are included in Titles IX and XIII.Section 311 clarifies the role of the Federal <strong>Energy</strong>Regula<strong>to</strong>ry Commission (FERC) as the finaldecisionmaking body on the construction, expansion,or operation of any facility that exports, imports, orprocesses LNG. Although it grants final authority <strong>to</strong>FERC, it directs the commission <strong>to</strong> consult <strong>with</strong> theStates on safety issues. Section 317 requires the U.S.Department of <strong>Energy</strong> (DOE), in cooperation <strong>with</strong>the U.S. Departments of Transportation and HomelandSecurity, <strong>to</strong> conduct at least three forums onLNG, which are <strong>to</strong> be held in areas where LNG terminalsare being considered for construction and <strong>to</strong> bedesigned <strong>to</strong> promote public education and encouragecooperation between State and Federal officials.Because the AEO<strong>2006</strong> reference case alreadyassumes that siting issues for LNG terminals are notinsurmountable, no changes were made in NEMS <strong>to</strong>address the LNG-related provisions in EPACT2005.18 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and RegulationsIn addition, it is unclear <strong>to</strong> what degree this provisionwill affect the siting of regasification terminals.Under Section 312, FERC is given the authority <strong>to</strong>permit a natural gas company <strong>to</strong> provide facilities fornatural gas s<strong>to</strong>rage at market-based rates if itbelieves the company will not exert market power.NEMS already assumes some market impact as aresult of incentive-based rates.Sections 321, 322, and 323 clarify provisions of theOuter Continental Shelf Lands Act, the Safe DrinkingWater Act, and the Federal Water Pollution ControlAct. Sections 341 and 342 provide clarifications ofexisting programs. Sections 343 through 347 addressroyalty relief. Specifically, Sections 343 and 344address incentives for natural gas production frommarginal wells and from deep wells in the shallowwaters of the Gulf of Mexico; Section 346 suspendsroyalties on offshore production in Alaska; and Section347 provides royalty relief for production fromthe National Petroleum Reserve, at the discretion ofthe Secretary of <strong>Energy</strong>. Sections 353 and 354 deal<strong>with</strong> royalty relief for natural gas extracted frommethane hydrates and for enhanced oil and naturalgas production through CO 2 injection. None of theseprovisions is modeled in NEMS, and they are notincluded in AEO<strong>2006</strong>.Section 345, which provides royalty relief for oil andnatural gas production in water depths greater than400 meters in the Gulf of Mexico from any oil or naturalgas lease sale occurring <strong>with</strong>in 5 years after enactment,is modeled in NEMS. The minimum productionvolumes for which royalty payments would be suspendedare as follows:• 5,000,000 BOE for each lease in water depths of400 <strong>to</strong> 800 meters• 9,000,000 BOE for each lease in water depths of800 <strong>to</strong> 1,600 meters• 12,000,000 BOE for each lease in water depths of1,600 <strong>to</strong> 2,000 meters• 16,000,000 BOE for each lease in water depthsgreater than 2,000 meters.For AEO<strong>2006</strong>, the water depth categories specified inSection 345 were adjusted <strong>to</strong> be consistent <strong>with</strong> thedepth categories in the Offshore Oil and Gas SupplySubmodule of NEMS. The suspension volumes are5,000,000 BOE for leases in water depths 200 <strong>to</strong> 800meters; 9,000,000 BOE for leases in water depths of800 <strong>to</strong> 1,600 meters; 12,000,000 BOE for leases inwater depth of 1,600 <strong>to</strong> 2,400 meters; and 16,000,000BOE for leases in water depths greater than 2,400meters. Examination of the resources available at 200<strong>to</strong> 400 and 2,000 <strong>to</strong> 2,400 meters showed that the differencesbetween the depths used in the model andthose specified in the act would not materially affectthe model results.Section 386, which prohibits new oil and natural gasdrilling in or under the Great Lakes, is included inAEO<strong>2006</strong>. Specifically, it states that no Federal orState permit or lease shall be issued for new oil or naturalgas slant, directional, or offshore drilling in orunder one or more of the Great Lakes. To reflect thisprovision, oil and natural gas resources underlyingthe Great Lakes were removed from the resource baseof the Oil and Gas Supply Module in NEMS.In Title XIII, Sections 1325 through 1327 provide taxincentives for the oil and natural gas industries thatinclude treatment of natural gas distribution lines as15-year property, treatment of natural gas gatheringlines as 7-year property, and exclusion of prepaymentson natural gas supply contracts <strong>with</strong> governmentutilities from arbitrage rules. NEMS does notinclude sufficient detail for modeling theseprovisions.Electricity ProvisionsEPACT2005 includes provisions <strong>to</strong> improve the reliabilityand operation of the electricity transmissiongrid, reduce regula<strong>to</strong>ry uncertainty, and increase consumerprotection. These electricity provisions areincluded under Title XII, “Electricity ModernizationAct of 2005.” Most of them cannot be addressed at thelevel of detail included in NEMS or can be includedonly <strong>with</strong> additional specification not provided inEPACT2005. Title XIII, “<strong>Energy</strong> Tax Incentive Act of2005,” also includes tax incentives targeted <strong>to</strong>wardelectricity generation or transmission properties.Section 1211 calls for the creation of manda<strong>to</strong>ry reliabilitystandards for the electricity grid <strong>to</strong> replace thevoluntary standards in place <strong>to</strong>day. The new standardswould be administered by “electric reliability<strong>org</strong>anizations” (EROs), which would be certified byFERC and would be responsible for developing andenforcing reliability standards for their regions. It isimplicitly assumed in AEO<strong>2006</strong> that electricity will beprovided reliably.Several sections under Title XIII would affect theelectric power industry. Section 1308 shortens theexisting capital recovery period for new transmissionand distribution assets from 20 years <strong>to</strong> 15 years. Theproperty must have been placed in use after April 11,<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 19


Legislation and Regulations2005, <strong>to</strong> qualify for the new recovery period. Section1309 expands amortization of pollution control equipmen<strong>to</strong>n coal-fired plants from 5 years <strong>to</strong> 7 years. Onlyplants that came online after January 1, 1976, wouldqualify for the new amortization period. These taxchanges are represented in AEO<strong>2006</strong>. Tax credits fornuclear and renewable energy production and for coalproduction and investment are discussed below.Nuclear <strong>Energy</strong> ProvisionsTitle VI of EPACT2005 includes several provisionsdesigned <strong>to</strong> ensure that nuclear energy will remain amajor component of the Nation’s energy supply. Sections601 through 610 update the Price-Anderson ActAmendment <strong>to</strong> the A<strong>to</strong>mic <strong>Energy</strong> Act of 1954, whichensures that adequate funds are available <strong>to</strong> the public<strong>to</strong> satisfy liability claims in the event of a nuclearaccident, while limiting the liability of any individualreac<strong>to</strong>r owner. EPACT2005 extends the coverage <strong>to</strong>all nuclear units brought on line through 2025,adjusts the maximum assessment and liability limit,and addresses incidents that might occur outside theUnited States. Section 608 allows small, modularreac<strong>to</strong>rs <strong>to</strong> be combined and treated as a single unitfor liability purposes. These provisions are notexplicitly modeled in NEMS, but AEO<strong>2006</strong> implicitlyassumes that Price-Anderson coverage will beextended <strong>to</strong> any new nuclear units built in the UnitedStates.Under Title XIII, Section 1306 provides a PTC fornew nuclear reac<strong>to</strong>rs brought online through 2020.The PTC is worth 1.8 cents per kilowatthour for thefirst 8 years of operation, subject <strong>to</strong> an annual limit of$125 million per gigawatt of capacity. It is restricted<strong>to</strong> a <strong>to</strong>tal of 6 gigawatts of new nuclear capacity. Thisprovision is included in AEO<strong>2006</strong>. Section 1310 modifiesthe rules for qualified decommissioning fundsand requires that a new ruling on the amounts fundedbe made whenever a plant receives a license renewal.Coal ProvisionsEPACT2005 includes numerous provisions thatauthorize funding for coal-related activities. Becausethey depend on future appropriations, they are notincluded in AEO<strong>2006</strong>.Sections 431 through 438, referred <strong>to</strong> as the CoalLeasing Act, ease or remove certain requirements forcoal leases on Federal lands. These provisions are notincluded in AEO<strong>2006</strong>, because specific lease requirementscannot be modeled directly in NEMS.Title XIII includes several provisions that alter thetax treatment of certain coal-related activities. Forexample, Section 1301 sets qualifications for receip<strong>to</strong>f a PTC of $1.50 per <strong>to</strong>n between <strong>2006</strong> and 2009 and$2.00 per <strong>to</strong>n through 2013 for coal produced onIndian lands. This provision is not included inAEO<strong>2006</strong>, because only limited data are available oncoal resources and production on Indian lands. (In2000, coal was mined from Indian lands in Arizona,New Mexico, and Montana.) One possible outcome ofthis provision would be <strong>to</strong> accelerate production ofcoal from Indian lands while the credit is available;however, given the relatively short time horizon ofthe provision (qualifying mines must be in servicebefore 2009) and the small share of <strong>to</strong>tal coal productionmade up by coal from Indian lands (3.6 percent in2004), the impact on national average minemouthprices for coal is likely <strong>to</strong> be small.Section 1307, Subsection 48A, establishes a $1.3 billioninvestment tax credit for the construction of newor repowered coal-fired generation projects, including$800 million for coal gasification projects and $500million for other projects that achieve certain targets,such as 99 percent SO 2 removal and 90 percent mercuryremoval from plant emissions. For integratedgasification combined-cycle (IGCC) technologies a20-percent investment tax credit may be applied <strong>to</strong>qualifying investments, and for other qualifyingadvanced technologies a 15-percent investment taxcredit is applicable. Repowering projects mustimprove the thermal design efficiency of coal-firedplants by 4 <strong>to</strong> 7 percent. This provision is modeled inNEMS by allowing up <strong>to</strong> 3 gigawatts of IGCC andanother 3 gigawatts of advanced coal-fired capacity <strong>to</strong>take advantage of the tax credit.Renewable <strong>Energy</strong> ProvisionsEPACT2005 contains several provisions intended <strong>to</strong>encourage or facilitate the use of renewable energyresources for electricity production. Most areincluded in Title II, “Renewable <strong>Energy</strong>.” Others arein the R&D, electricity, and tax titles. In addition, theact contains provisions <strong>to</strong> encourage the use of renewableenergy for transportation and in end-use applications,as described above.Section 203 requires the Federal Government, <strong>to</strong> theextent that it is “economically feasible and technicallypractical,” <strong>to</strong> purchase a minimum amount of electricitygenerated from renewable resources. The Federalpurchase requirement starts at 3 percent of the<strong>to</strong>tal amount of electricity consumed by the FederalGovernment in 2007 and increases stepwise <strong>to</strong> 7.5percent of the <strong>to</strong>tal in 2013 and thereafter. Renewableenergy used at a Federal facility that is producedon-site at the facility, on Federal lands, or on Indian20 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and Regulationsland will count double <strong>to</strong>ward the requirement.Although the Federal Government is a major purchaserof electricity, the required purchases are notexpected <strong>to</strong> affect the projections of renewable electricitydemand in AEO<strong>2006</strong>.Several sections specifically address the production ofhydroelectricity at proposed or existing facilities. Section241 revises the appeals process for the licensingof hydropower projects by FERC. Appeals on licenseconditions and fishway rulings will now be heard in atrial-type hearing. Applicants may also propose alternatives<strong>to</strong> the conditions specified by FERC <strong>to</strong> achievethe purposes of the original license conditions. Theimpacts of these provisions on the cost of developingor relicensing hydroelectric projects are not clear, andthey are not included in AEO<strong>2006</strong>.Under Title XII, a number of electricity market provisionsdirectly address the use of renewable resources<strong>with</strong>in the Nation’s electricity grid. Section 1251requires utilities <strong>to</strong> offer net metering upon cus<strong>to</strong>merrequest. Net metering means that eligible cus<strong>to</strong>mer-sitedgeneration resources may be used <strong>to</strong> offsetgross cus<strong>to</strong>mer electricity purchases during thebilling cycle; that is, cus<strong>to</strong>mer generation in excess ofinstantaneous demand will be fed back <strong>to</strong> the utilitydistribution system, causing the cus<strong>to</strong>mer’s meter <strong>to</strong>effectively “run backward.” Eligible resources andapplicable billing cycles are not defined in the provision,but credit will be given <strong>to</strong> States that haveadopted or voted on comparable standards. CurrentState net metering standards typically allow renewablegeneration (solar and sometimes wind or otherrenewable fuels) and sometimes allow other favoredtechnologies, such as fuel cells, <strong>to</strong> qualify. Generationis typically netted on a monthly basis, but nettingmay be allowed over longer periods. AEO<strong>2006</strong>assumes that excess generation from cus<strong>to</strong>mer-sitedsources will offset purchased electricity at retail rates.Section 1253 eliminates the requirement for eligibleutilities <strong>to</strong> purchase electricity from qualified facilitiesunder the Public Utility Regula<strong>to</strong>ry Policies Act(PURPA), which previously required utilities <strong>to</strong> purchasegeneration from small cogenera<strong>to</strong>rs and renewableplants at a rate equal <strong>to</strong> their avoided cost ofgeneration. Eligible utilities must have open electricitymarkets, including nondiscrimina<strong>to</strong>ry access <strong>to</strong>wholesale generation markets and <strong>to</strong> transmissionand interconnection services. AEO<strong>2006</strong> assumes thatall generation resources will compete in a nondiscrimina<strong>to</strong>rymarket for generation, capacity, and transmissionservices.Several changes <strong>to</strong> the tax code, all involving the PTCfor renewable generation, are expected <strong>to</strong> have significantimpacts on the growth of renewable electricitymarkets. Section 1301 extends the eligibility date fornew renewable generation facilities <strong>to</strong> qualify for theinflation-adjusted tax credit for the first 10 years ofplant operation. Eligibility was set <strong>to</strong> expire afterDecember 31, 2005, but will now expire after December31, 2007. Although some eligible resources willcontinue <strong>to</strong> get the full, inflation-adjusted credit of1.5 cents per kilowatthour and others one-half of thatamount, all new eligible facilities—including efficiencyimprovements or additions of capacity at existingfacilities—will receive the full credit for the first10 years of their operation. AEO<strong>2006</strong> specificallyaccounts for the extension of the eligibility period forrenewable resources and the expansion of the credit<strong>to</strong> hydroelectric facilities.In addition <strong>to</strong> the PTC modifications discussed above,Section 1302 will allow agricultural cooperatives <strong>to</strong>allocate renewable energy production tax credits <strong>to</strong>their members, based on the “amount of business”done by each member <strong>with</strong> the cooperative. Eligiblecooperatives include those that are more than 50 percen<strong>to</strong>wned by agricultural producers or entitiesowned by agricultural producers, thus allowing otherwisetax-exempt electricity cooperatives <strong>to</strong> takeadvantage of the PTC by transferring the benefitdirectly <strong>to</strong> their membership. Although this provisionis not specifically modeled, AEO<strong>2006</strong> assumes that alleligible renewable capacity is built by tax-paying entitiesand thus is entitled <strong>to</strong> take the PTC.Incentives for Innovative TechnologiesEPACT2005 Title XVII, “Incentives for InnovativeTechnologies,” authorizes the Secretary of <strong>Energy</strong>,after consultation <strong>with</strong> the Secretary of the Treasuryand subject <strong>to</strong> budget appropriations, <strong>to</strong> provide Federalloan guarantees for a wide variety of projectsrelated <strong>to</strong> energy consumption and production technologies.Although EPACT2005 includes severalother technology incentives, the Title XVII programhas particular potential <strong>to</strong> influence the developmen<strong>to</strong>f future energy technologies. The guarantees cancover up <strong>to</strong> 80 percent of the cost of a project over aperiod of up <strong>to</strong> 30 years (or 90 percent of a project’suseful life, whichever is less). To be eligible, projectsmust avoid, reduce, or sequester air pollutants oranthropogenic greenhouse gas (GHG) emissions andmust employ new or significantly improved technologies,as compared <strong>with</strong> those that are commerciallyavailable when the guarantee is issued. The eligibleproject categories include:<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 21


Legislation and Regulations• Renewable energy systems• Advanced fossil energy technologies, includingcoal gasification meeting certain requirements• Hydrogen fuel cell technologies for residential, industrial,or transportation applications• Advanced nuclear energy facilities• Carbon capture and sequestration practices andtechnologies• Technologies for efficient generation, transmission,and distribution of electric power• Efficient end-use energy technologies• Production facilities for fuel-efficient vehicles, includinghybrids and advanced diesel vehicles• Pollution control equipment• Refineries.Loan guarantees will also be available for gasificationfacilities that meet certain criteria. Eligible gasificationprojects include IGCC plants where 65 percent ofthe fuel used is a combination of coal, biomass, andpetroleum coke and 65 percent of the energy output isused <strong>to</strong> produce electricity. IGCC plants <strong>with</strong> a capacityof at least 100 megawatts using western coal arealso eligible. To receive loan guarantees, the IGCCprojects must emit no more than 0.05 pound of SO 2 ,0.08 pound of nitrogen oxides (NO x ), and 0.01 poundof particulates per million Btu of fuel input and mustremove 90 percent of the mercury in any coal that isused.Because funding levels and specific rules for this programare not yet known, its potential impacts are notrepresented in AEO<strong>2006</strong>. The program could providea flexible <strong>to</strong>ol for stimulating investment in a widearray of promising technologies [4]. The leverageachieved by the program will depend on the risksassociated <strong>with</strong> the projects supported and theexpected loss that would occur if a loan defaul<strong>to</strong>ccurred. For loans of the same size, riskier projectsrequire more Federal funding.California Greenhouse Gas EmissionsStandards for Light-Duty VehiclesThe State of California was given authority underCAAA90 <strong>to</strong> set emissions standards for light-dutyvehicles that exceed Federal standards. In addition,other States that do not comply <strong>with</strong> the NationalAmbient Air Quality Standards (NAAQS) set by theEPA under CAAA90 were given the option <strong>to</strong> adoptCalifornia’s light-duty vehicle emissions standards inorder <strong>to</strong> achieve air quality compliance. CAAA90 specificallyidentifies hydrocarbon, carbon monoxide,and NO x as vehicle-related air pollutants that can beregulated. California has led the Nation in developingstricter vehicle emissions standards, and other Stateshave adopted the California standards [5].California Assembly Bill 1493 (A.B. 1493), signed in<strong>to</strong>law in July 2002, required the California AirResources Board (CARB) <strong>to</strong> develop and adopt GHGemissions standards for light-duty vehicles thatwould provide the maximum feasible reduction inemissions. In determining the maximum feasiblestandard, CARB was required <strong>to</strong> consider costeffectiveness,technological capability, economicimpacts, and flexibility for manufacturers in meetingthe standard. CARB was not allowed <strong>to</strong> consider thefollowing compliance options: manda<strong>to</strong>ry trip reductions;land use restrictions; additional fees and/ortaxes on any mo<strong>to</strong>r vehicle, fuel, or vehicle miles traveled;a ban on any vehicle category; reduction in vehicleweight; or a limitation or reduction of speed limitson any street or highway in the State. Tailpipe emissionsof CO 2 , which are directly proportional <strong>to</strong> vehiclefuel consumption, account for the vast majority of<strong>to</strong>tal GHG emissions from vehicles. In August 2004,CARB released a report detailing its proposedGHG emissions standards for light-duty vehicles,which were approved by California’s Office of AdministrativeLaw on September 15, 2005.The standards approved in September 2005 coverGHG emissions associated <strong>with</strong> vehicle operation, airconditioning operation and maintenance, and productionof vehicle fuel. The standards apply <strong>to</strong> noncommerciallight-duty passenger vehicles manufacturedfor model years 2009 and beyond. The standards,specified in terms of CO 2 equivalent emissions, apply<strong>to</strong> vehicles in two size classes: passenger cars andsmall light-duty trucks <strong>with</strong> a loaded vehicle weightrating of 3,750 pounds or less; and heavy light-dutytrucks <strong>with</strong> a loaded vehicle weight rating greaterthan 3,750 pounds and a gross vehicle weight ratingless than 8,500 pounds. The CO 2 equivalent emissionstandard for heavy light trucks includes noncommercialpassenger trucks between 8,500 pounds and10,000 pounds. The regulations approved in September2005 set near-term standards, <strong>to</strong> be phased inbetween 2009 and 2012, and mid-term standards, <strong>to</strong>be phased in between 2013 and 2016. After 2016, theemissions standards are assumed <strong>to</strong> remain constant.Table 2 summarizes the CO 2 equivalent standards.In Oc<strong>to</strong>ber 2003, California, 11 other States, 3 cities,and several environmental groups filed a petition in22 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and RegulationsTable 2. CARB emissions standards for light-duty vehicles, model years 2009-2016CO 2 equivalent emissions standard (grams per mile)Tier Model YearPassenger cars and small light trucks(under 3,751 pounds)Heavy light trucks(3,751 <strong>to</strong> 8,500 pounds)Near term 2009 323 4392010 301 4202011 267 3902012 233 361Mid-term 2013 227 3552014 222 3502015 213 3412016 205 332the U.S. Court of Appeals, arguing that the EPAshould regulate GHG emissions from vehicles. In July2005, the court ruled that the EPA was not required<strong>to</strong> regulate GHG emissions under the Clean Air Act.Given the constraints on using other measures,improvements in fuel economy are the only practicalway <strong>to</strong> meet the standards. The au<strong>to</strong>motive industry,which opposes A.B. 1493, has filed suit against CARB,arguing that California GHG emissions standards arein essence fuel economy standards and therefore arepreempted by a Federal statute that gives the U.S.Department of Transportation the only authority <strong>to</strong>regulate fuel economy [6]. CARB has not yet obtaineda Clean Air Act waiver from the EPA, which would berequired before it can implement its GHG emissionsstandards. For this reason and due <strong>to</strong> the uncertaintysurrounding the pending lawsuit, A.B. 1493 is notrepresented in the AEO<strong>2006</strong> reference case. Potentialimpacts of the regulations were examined, however,in AEO2005, using the AEO2005 reference case as astarting point <strong>to</strong> estimate their likely effects on vehicleprices, GHG emissions, regional energy demand,and regional fuel prices [7].Proposed Revisions <strong>to</strong> Light TruckFuel Economy StandardsIn August 2005, NHTSA published proposed reforms<strong>to</strong> the structure of CAFE standards for light trucksand increases in light truck CAFE standards formodel years 2008 through 2011 [8]. Under the proposednew structure, NHTSA would establish minimumfuel economy levels for six size categoriesdefined by the vehicle footprint (wheelbase multipliedby track width), as summarized in Table 3. For modelyears 2008 through 2010, the new CAFE standardswould provide manufacturers the option of complying<strong>with</strong> either the standards defined for each individualfootprint category or a proposed average light truckTable 3. Proposed light truck CAFE standardsby model year and footprint category(miles per gallon)Modelyear1(43.0)Vehicle category andfootprint range (square feet)2(>43.0-47.0)3(>47.0-52.0)4(>52.0-56.5)5(>56.5-65.0)6(>65.0)2008 26.8 25.6 22.3 22.2 20.7 20.42009 27.4 26.4 23.5 22.7 21.0 21.02010 27.8 26.4 24.0 22.9 21.6 20.8*2011 28.4 27.1 24.5 23.3 21.9 21.3*Decrease due <strong>to</strong> changes in production plans provided <strong>to</strong> NHTSA and used<strong>to</strong> establish an average that increases over time.fleet standard of 22.5 miles per gallon in 2008, 23.1miles per gallon in 2009, and 23.5 miles per gallon in2010. All light truck manufacturers would berequired <strong>to</strong> meet an overall standard based on sales<strong>with</strong>in each individual footprint category after modelyear 2010.In determining the proposed light truck fuel economystandards, NHTSA addressed concerns related <strong>to</strong>energy conservation, technology feasibility and economicpracticability, other regulations on fuel economy,and safety. In the evaluation of technology andeconomic practicability, NHTSA used gasoline priceprojections from the AEO2005 reference case, whichprojected that gasoline prices would range from $1.54<strong>to</strong> $1.61 per gallon (2004 dollars) over the 2004-2025forecast period. For the same period, the AEO<strong>2006</strong>reference case projects a range of $1.95 <strong>to</strong> $2.26 pergallon (2004 dollars). NHTSA, which will likelyreceive and address comments related <strong>to</strong> many issues,specifically asked for comments on the appropriategasoline price projection <strong>to</strong> use in defining the finalrule. Use of the AEO<strong>2006</strong> reference case gasolineprices in the final rule could impact the final CAFEstandards. For example, using higher gasoline pricesin technology evaluations could lead <strong>to</strong> a finding that<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 23


Legislation and Regulationsadditional technologies are economically practical,<strong>with</strong> corresponding changes in fuel economy standardsfor some footprint categories.Because the new light truck fuel economy standardshave not been finalized, they are not included in theAEO<strong>2006</strong> reference case. An alternative case wasdeveloped <strong>to</strong> examine the potential energy impacts ofthe proposed standards. Because NEMS does not currentlyrepresent the footprint-based standardsincluded in NHTSA’s recent proposal, the alternativecase assumes that manufacturers will adhere <strong>to</strong> theproposed increases in light truck fleet standards. Formodel year 2011, the alternative case applies afleet-wide standard of 24 miles per gallon, basedloosely on the change between 2010 and 2011 in theproposed footprint-based standards. Because no furtherchanges in fuel economy standards beyond 2011are assumed, the projected trends in light truck fueleconomy after 2011 reflect projected technologyadoption and market forces.New light truck fuel economy in the alternative case(Table 4) is projected <strong>to</strong> be 6 percent higher than thereference case projection in 2011 (24.9 miles pergallon, compared <strong>with</strong> 23.4 miles per gallon in thereference case). Consistent <strong>with</strong> the reference caseprojections, light truck fuel economy continues <strong>to</strong>improve after 2011 in the alternative case, <strong>to</strong> 27.4miles per gallon in <strong>2030</strong>, 4 percent higher than thereference case projection of 26.4 miles per gallon. Thehigher CAFE standards lead <strong>to</strong> higher prices for lighttrucks, resulting from increased use of lightweightmaterials, more complex valve trains, and advancedtransmissions. In the alternative case, the averageprice of a new light truck is projected <strong>to</strong> be 1.2 percent($350) higher than in the reference case in 2011 and0.5 percent ($170) higher in <strong>2030</strong>. That increase is atleast partially offset, however, by the expectedTable 4. Key projections for light truck fuel economyin the alternative CAFE standards case, 2011-<strong>2030</strong>Projection 2011 2015 2020 <strong>2030</strong>Fuel economy of new light trucks(miles per gallon) 24.9 25.2 26.0 27.4Increase from reference caseprojection for purchase price of newlight trucks (2004 dollars) 350 250 210 170<strong>Annual</strong> reduction from referencecase projection for energy use by alllight-duty vehicles (quadrillion Btu) 0.13 0.26 0.35 0.44Cumulative reduction from referencecase projection for energy use by alllight-duty vehicles, 2004-<strong>2030</strong>(quadrillion Btu) 0.31 1.19 2.76 6.85reduction in fuel costs that would result from theincrease in average fuel efficiency.Total projected energy use by light-duty vehicles,including both cars and light trucks, in the alternativecase is projected <strong>to</strong> be 0.7 percent (0.13 quadrillionBtu) lower than the reference case projection in2011 and 1.8 percent (0.44 quadrillion Btu) lower in<strong>2030</strong>. Cumulative energy use by light-duty vehiclesfrom 2004 <strong>to</strong> <strong>2030</strong> is almost 7 quadrillion Btu lower inthe alternative case than projected in the referencecase.State Renewable <strong>Energy</strong> Requirementsand Goals: Update Through 2005AEO2005 provided a summary of 17 State renewableenergy programs in existence as of December 31,2003, in 15 States [9]. They included RPS programs in9 States, renewable energy mandates in 4 States, andrenewable energy goals in 4 States. Since 2003, 7more States and the District of Columbia have establishedrenewable energy programs (Table 5), including6 RPS programs and two renewable energy goals.No new mandates have been enacted since 2003,although a renewable goal instituted in Vermont willbecome manda<strong>to</strong>ry if it has not been met by 2012. Inaddition, major changes and refinements have beenmade in a number of the State programs that were inexistence before 2004 (Table 6). No Federalrenewables requirement currently exists, although anationwide RPS was again considered in 2005.Although generally resembling earlier versions, someof the new programs and changes <strong>to</strong> existing programsinclude unique or unusual features:• Colorado’s new RPS is the first enacted through avoter initiative. The new RPS allows a coveredColorado utility (40,000 or more cus<strong>to</strong>mers) <strong>to</strong> op<strong>to</strong>ut of the RPS, or an exempt utility <strong>to</strong> opt in, <strong>with</strong>a majority vote involving a minimum of 25 percen<strong>to</strong>f the utility’s cus<strong>to</strong>mers.• Connecticut’s RPS now includes energy conservation.• Delaware’s RPS includes municipal utilities andsome rural electric cooperatives, although theymay opt out.• Qualifying renewables under Hawaii’s RPS nowinclude electricity conservation measures, such asdistrict cooling systems using seawater air conditioning,solar and heat pump water heating,and ice s<strong>to</strong>rage, as well as reject heat in someinstances.24 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and Regulations• Under 2005 legislation, compliance <strong>with</strong> Minnesota’sobjective (goal) now becomes linked <strong>to</strong> theapplication for a certificate of need for new transmissionor generation facilities.• New York’s goals set in 2004 and the 2005changes in the Illinois program both resulted frompublic utility commission orders rather than fromlegislation.• In New York, the development of new generatingcapacity using renewable fuels is supportedthrough centralized procurement by the NewYork State <strong>Energy</strong> Research and DevelopmentAuthority, <strong>with</strong> funds collected through a chargeon inves<strong>to</strong>r-owned utilities.• The Illinois program allows imports of electricityonly from directly adjacent jurisdictions designatedas serious or severe NAAQS nonattainmentareas.• Vermont’s goal is <strong>to</strong> meet 100 percent of additionalelectricity demand through 2012 <strong>with</strong> allowedrenewable resources (up <strong>to</strong> 10 percent of<strong>to</strong>tal demand), and it broadly defines renewableTable 5. Basic features of State renewable energy requirements and goals enacted since 2003StateYearenactedRequirementsAcceptsexistingcapacityOut-of-StatesupplyCredittradingRenewable Portfolio StandardsColorado 2004 3-10% of generation, 2007-2015; 4% of requirement must be solar Yes Yes YesDelaware 2005 1-10% of retail sales, 2007-2019 Yes Yes YesDistrict of Columbia 2005 11% of sales by 2022; 3.5% of requirement must be solar Yes Yes YesMaryland 2004 3.5-7.5% of sales, <strong>2006</strong>-2019 Yes Yes YesMontana 2005 5-15% of sales, 2008-2015 Yes Yes YesRhode Island 2004 3-16% of sales, 2007-2019 Yes Yes YesGoalsNew York 2004 25% of generation by 2013 Yes Yes NoVermont 2005 All growth, up <strong>to</strong> 10% of <strong>to</strong>tal sales, 2005-2012;goal becomes manda<strong>to</strong>ry if not met by 2012Yes — —Table 6. Major changes in existing State renewable energy requirements and goals since 2003State Date of change New requirementsConnecticut July 2005 Effective January 1, <strong>2006</strong>, Public Law 05-01 adds Class III renewables <strong>to</strong> the State RPS, <strong>to</strong> includenew cus<strong>to</strong>mer-side combined heat and power systems and electricity savings from energy conservationand load management at commercial and industrial facilities, equal <strong>to</strong> 1% of generation in 2007,2% in 2008, 3% in 2009, and 4% in 2010.Hawaii June 2004 Senate Bill 2474 changes the goal of the State RPS, from 9% of sales by 2010 <strong>to</strong> 20% of sales by 2020,and includes ocean technologies, electricity conservation, and some cogeneration.Illinois July 2005 An Illinois Commerce Commission resolution adopts a sustainable energy plan that replaces the Staterenewable energy goal of 15% of sales by 2020 <strong>with</strong> an RPS requiring the State's largest electricutilities <strong>to</strong> begin supplying 2% renewable energy <strong>to</strong> Illinois cus<strong>to</strong>mers by January 1, 2007, increasingby 1% annually <strong>to</strong> 8% by 2013; at least 75% of the requirement must be from wind power.Minnesota May 2005 Statute 216B.243 links compliance <strong>with</strong> the State’s renewable energy goal of 10.0% of electricity sales(by power producers other than Xcel <strong>Energy</strong>, see Statute 216B.1691) <strong>to</strong> obtaining a certificate of needfor new transmission or generation capacity.Nevada June 2005 Assembly Bill 03 increases overall renewables requirement from 5-15% of sales 2003-2013, <strong>to</strong> 6-20%,but (a) delays compliance by 2 years <strong>to</strong> 2005-2015, and (b) permits up <strong>to</strong> one-quarter of the requirement<strong>to</strong> be met by efficiency measures reducing electricity use.Pennsylvania November 2004 Senate Bill 1030 changes individual utility goals <strong>to</strong> RPS requiring 5.7% of sales in 2007, increasing<strong>to</strong> 18% in 2020 (<strong>with</strong> solar increasing <strong>to</strong> at least 0.5% of sales); RPS includes waste coal, coalgasification, and demand-side management and includes both credit trading and some capacity fromout-of-State suppliers in interconnected areas.Texas August 2005 Senate Bill 20 increases overall renewable energy requirement from 2,000 megawatts of new renewablecapacity by 2009 <strong>to</strong> 5,880 megawatts by 2015, including a non-manda<strong>to</strong>ry target of at least 500megawatts from sources other than wind.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 25


Legislation and Regulationsenergy as that which “relies on a resource that isbeing consumed at a harvest rate at or belowits natural regeneration rate” [10]. The Vermontlegislation is designed <strong>to</strong> encourage contracts fornew renewables capacity by allowing the new capacity<strong>to</strong> meet multiple States’ RPS requirements.New renewable capacity in Vermont canbe counted <strong>to</strong>ward Vermont’s program, while itsrenewable energy credits may be marketed separately<strong>to</strong> renewables credit markets in neighboringStates.• Pennsylvania’s new Alternative <strong>Energy</strong> PortfolioStandard includes waste coal and coal gasification,which can contribute as much as 10 percen<strong>to</strong>f the renewable generation requirement (set at18 percent of <strong>to</strong>tal generation in 2020).The 23 State renewable energy programs in effect in2005 generally are concentrated in three broad geographicareas, <strong>with</strong> 11 jurisdictions along the Northeasternand Mid-Atlantic seaboard (Connecticut,Delaware, the District of Columbia, Maine, Maryland,Massachusetts, New Jersey, New York, Pennsylvania,Rhode Island, and Vermont), 6 in the Southwest(Arizona, California, Colorado, Nevada, New Mexico,and Texas), 4 in the upper Midwest (Illinois, Iowa,Minnesota, and Wisconsin), and Hawaii and Montanaeach standing alone. No Southern, Southeastern, orNorthwestern State (except Montana) currently has arenewable energy program.Although efforts <strong>to</strong> coordinate renewable energy programsamong adjacent States have begun, no formalor informal coordination systems have been finalized.An example of efforts <strong>to</strong> establish such a systeminclude the newly formed Mid-Atlantic Organizationof PJM States, Inc. In order <strong>to</strong> prevent double counting,however, States in most interconnected regionsnow coordinate identification and tracking of the originsand contracted destinations of renewable energytransactions via power pools or other <strong>org</strong>anizations.The New England States use the Generation InformationSystem of the New England Power Pool(NEPOOL), and the Mid-Atlantic States employPJM’s Generation Attribute Tracking System(GATS). Although the Midwestern Power Pool doesnot currently track the region’s renewable generation,a multi-State Midwestern effort is underway <strong>to</strong>establish the Midwest Renewable <strong>Energy</strong> TrackingSystem (MRETS). Similarly, the California <strong>Energy</strong>Commission and the Western Governors’ Associationare collaborating <strong>to</strong> establish a Western Renewable<strong>Energy</strong> Generation Information Tracking System(WREGIS).New Renewable <strong>Energy</strong> Capacity, 2004-2005Table 7 summarizes EIA’s understanding of newrenewable energy capacity entering service in 2004and 2005. However, it is difficult <strong>to</strong> quantify the specificimpacts of State renewable programs. First, neitherthe individual States nor other sources identifyall the new renewable energy capacity that is built,and some new capacity may not be reported.Although large wind projects typically are recognized,smaller projects, such as landfill gas (LFG) or endusersited PV installations, may go unreported. Further,new capacity is not necessarily added inresponse <strong>to</strong> State renewable energy programs. Projectsmay be constructed for other reasons, and theymay or may not qualify for the State programs. Projectslocated in one State may serve the requirementsof another State or different States over time.Table 7. New U.S. renewable energy capacity, 2004-2005 (installed megawatts, nameplate capacity)Year Biomass GeothermalConventionalhydroelectricLandfillgasSolarpho<strong>to</strong>voltaics Wind Total2004Without standards 0.0 0.0 65.8 32.5 0.0 199.8 298.1With standards 19.9 0.0 4.5 30.0 3.0 281.6 339.12005Without standards 0.0 0.0 133.2 14.7 0.0 1,077.1 1,225.0With standards 34.1 37.0 26.1 24.6 3.6 1,716.7 1,842.12004 and 2005Without standards 0.0 0.0 199.0 47.2 0.0 1,276.9 1,523.1With standards 54.0 37.0 30.6 54.8 6.6 1,998.2 2,181.2Total 54.0 37.0 229.6 102.0 6.6 3,275.1 3,704.3PercentagesWithout standards 0.0 0.0 86.6 46.3 0.0 39.0 41.1With standards 100.0 100.0 13.3 53.7 100.0 61.0 58.926 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and RegulationsProjects located in States <strong>with</strong>out renewable programsmay be explicitly or implicitly targeted <strong>to</strong> serveprograms in other States and, therefore, may be atleast partially “caused” by another State’s renewableprogram despite not being enumerated as such.New renewable energy capacity built <strong>to</strong>day thatappears unsupported by a State renewable programmay result from an earlier favorable experience <strong>with</strong>a State program. For example, Table 7 does notinclude 362 megawatts of wind capacity from newprojects in Iowa in the “With Standards” category,because Iowa’s mandate was fully met by 2000; nordoes it include 62 megawatts of new wind capacitybuilt in North Dakota, which has no requirement,although the new capacity serves Minnesota’s RPS.Nevertheless, Table 7 provides some indication of theextent <strong>to</strong> which renewable programs are resulting inthe construction of new renewable energy capacityand also suggests the extent <strong>to</strong> which other key fac<strong>to</strong>rs(for example, the Federal PTC) may promotegrowth in renewable capacity.Differences among renewable energy capacity additionsin different States can result from a range offac<strong>to</strong>rs separate from State renewable programs,including differences in natural endowments, electricityconsumption levels and rates of demandgrowth, the availability of alternatives, the presenceor absence of renewable energy proponents andchampions, and variations in consumer preferences.On the other hand, while States <strong>with</strong> renewableenergy requirements accounted for only 45 percent of<strong>to</strong>tal U.S. electricity supply, they accounted foralmost 60 percent of all new renewable energy capacityadded in 2004 and 2005.EIA’s analysis indicates that State-level requirementsprobably have led <strong>to</strong> somewhat more biomass,geothermal, LFG, and solar capacity than would otherwisehave been built, although the additionalamounts are small. Hydroelectric capacity does notappear <strong>to</strong> have been advanced by State-level renewablesrequirements. Expansion of wind power capacityappears <strong>to</strong> be strongly affected by the combinationof State requirements and the Federal PTC, asevidenced by the substantial construction of newwind capacity in 2005, particularly in States <strong>with</strong> RPSprograms.Among States <strong>with</strong> requirements and goals, theamount of renewable capacity added in 2004 and 2005varies significantly. Of the 23 States <strong>with</strong> renewablerequirements in 2004 and 2005, 4 have reported nonew renewable energy capacity (although requirementsin Delaware, the District of Columbia, andMaryland are new, and Connecticut is estimated <strong>to</strong>have met its program requirements already). Inanother 7 States (Arizona, Hawaii, Massachusetts,New Jersey, Rhode Island, Vermont, and Wisconsin)15 megawatts or less has been added over the 2-yearperiod. In 3 States (Maine, Nevada, and Pennsylvania),between 25 and 35 megawatts has been added; in2 (Colorado and Illinois) between 65 and 75 megawattshas been added; and in 4 (Minnesota, Montana,New Mexico, and New York) between 100 and 200megawatts has been added in each State over the past2 years. California, <strong>with</strong> nearly 500 megawatts, andTexas, <strong>with</strong> more than 700 megawatts, <strong>to</strong>getheraccount for 55 percent of all new U.S. renewablecapacity attributed <strong>to</strong> State-level renewable energyrequirements and goals in 2004 and 2005.In contrast, Oklahoma and Washing<strong>to</strong>n, which haveno renewable energy requirements, each installedbetween 250 and 300 megawatts of new renewablecapacity in 2004 and 2005, and other States <strong>with</strong>outprograms added smaller amounts. Most of the newcapacity in those States is wind power, suggestingthat good resources and the Federal PTC may be theprimary fac<strong>to</strong>rs leading <strong>to</strong> new wind power installationsthere.Despite the expansion of State renewable energyprograms, new renewables capacity accounted for afairly small fraction of new U.S. electricity supplyadded in 2004 and 2005. Including conventionalhydroelectricity, all renewables currently accountfor 9.3 percent of <strong>to</strong>tal U.S. electricity generation,<strong>with</strong> nonhydroelectric renewables accounting for2.2 percent. The 3,700 megawatts of new renewablescapacity added during 2004 and 2005 accountedfor 12 percent of the 32,000 megawatts of newgenerating capacity that entered service during theperiod.State Air Emission RegulationsThat Affect Electric Power ProducersSeveral States have recently enacted air emission regulationsthat will affect the electricity generation sec<strong>to</strong>r.The regulations govern emissions of NO x ,SO 2 ,CO 2 , and mercury from power plants. Where firmcompliance plans have been announced, State regulationsare represented in AEO<strong>2006</strong>. For example,installations of SO 2 scrubbers and selective catalyticreduction (SCR) and selective noncatalytic reduction(SNCR) NO x removal technologies associated <strong>with</strong>the largest State program, North Carolina’s CleanSmokestacks Initiative, are included. Figure 9 showshis<strong>to</strong>rical trends in SO 2 emissions for selected States.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 27


Legislation and RegulationsFederal Air Emissions RegulationsIn 2005, the EPA finalized two regulations, CAIR andCAMR, that would reduce emissions from coal-firedpower plants in the United States. Both CAIR andCAMR are included in the AEO<strong>2006</strong> reference case.The EPA has received 11 petitions for reconsiderationof CAIR and has provided an opportunity forpublic comment on reconsidering certain aspects ofCAIR. Public comments were accepted until January13, <strong>2006</strong>. The EPA has also received 14 petitions forreconsideration of CAMR and is willing <strong>to</strong> reconsidercertain aspects of the rule. Public comments wereaccepted for 45 days after publication of the reconsiderationnotice in the Federal Register. Several Statesand <strong>org</strong>anizations have filed lawsuits against CAMR.The ultimate decision of the courts will have a significantimpact on the implementation of CAMR.Clean Air Interstate RuleThe final CAIR was promulgated by the EPA inMarch 2005 and published in the Federal Register asa final rule in May 2005 [11]. The rule is intended <strong>to</strong>reduce the atmospheric interstate transport of fineparticulate matter (PM 2.5 ) and ozone [12]. Both SO 2and NO x are precursors of PM 2.5 .NO x is also a precursor<strong>to</strong> the formation of ground-level ozone. CAIRwould require 28 States and the District of Columbia<strong>to</strong> reduce SO 2 and/or NO x emissions in a two-phaseprogram. The Phase I cap for NO x becomes effectivein 2009, and the Phase I cap for SO 2 starts in 2010[13]. The Phase II limits for both NO x and SO 2 startin 2015. The rule would apply <strong>to</strong> all fossil-fuel-firedboilers and turbines serving electrical genera<strong>to</strong>rs<strong>with</strong> capacity greater than 25 megawatts that provideelectricity for sale. It would also apply <strong>to</strong> CHP unitslarger than 25 megawatts that sell at least one-thirdof their potential electrical output and supply moreFigure 9. Sulfur dioxide emissions in selectedStates, 1980-2003 (thousand short <strong>to</strong>ns)1,2001,000800600400TexasNew YorkNorth Carolina200MissouriMassachusetts01980 1985 1990 1995 1999 2003than 219,000 megawatthours of electricity <strong>to</strong> the grid.Table 8 shows EPA estimates of CAIR’s impacts onSO 2 and NO x emissions. The AEO<strong>2006</strong> reference caseprojections for SO 2 and NO x emissions are very close<strong>to</strong> the EPA numbers.Under CAIR, the States would be responsible for allocatingNO x emissions allowances and taking the leadin pursuing enforcement actions, and they wouldhave flexibility in choosing the sources <strong>to</strong> be controlled.They could meet the emissions reductionrequirements either by joining the EPA-managed capand trade program for power plants or by achievingreductions through emissions control measures onsources in other sec<strong>to</strong>rs (industrial, transportation,residential, or commercial) or on a combination ofelectricity generating units and sources in other sec<strong>to</strong>rs.The 28 CAIR States are required <strong>to</strong> submit StateImplementation Plans (SIPs) <strong>to</strong> the EPA by September<strong>2006</strong>, showing how they intend <strong>to</strong> meet theirrespective caps.In order <strong>to</strong> participate in the cap and trade program,States would be required <strong>to</strong> regulate power plantemissions <strong>with</strong>in their boundaries. The EPA would beresponsible for assigning State emissions budgets,reviewing and approving State plans, and administeringthe emissions and allowance tracking systems.Sources currently subject <strong>to</strong> the CAAA90 Title IVrules and <strong>to</strong> the NO x SIP Call trading program canuse allowances banked from those programs before2010 for compliance <strong>with</strong> CAIR. CAIR would requireadditional reductions in NO x emissions for Statesaffected by the NO x SIP Call. State NO x emissionscaps are based on each State’s share of region-wideheat input.The EPA plans <strong>to</strong> meet the SO 2 emission reductionrequirements by implementing a progressively morestringent retirement ratio on SO 2 allowances for electricitygenerating units of different vintages underthe CAAA90 Title IV Acid Rain Program. New SO 2allowances would not be issued under CAIR; powerTable 8. Estimates of national trends in annualemissions of sulfur dioxide and nitrogen oxides,2003-2020 (million short <strong>to</strong>ns)<strong>Projections</strong>Emissions 2003 2010 2015 2020EPASulfur dioxide 10.6 6.1 4.9 4.2Nitrogen oxides 4.2 2.4 2.1 2.1AEO<strong>2006</strong>Sulfur dioxide 10.6 5.9 4.6 4.0Nitrogen oxides 4.2 2.3 2.1 2.128 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Legislation and Regulationsplants would instead use the current pool of SO 2allowances issued under Title IV. Allowances issuedfor vintage years 2004 through 2009 could be retiredon a 1-<strong>to</strong>-1 basis, but allowances issued for vintageyears 2010 through 2014 would have <strong>to</strong> be retired on a2-<strong>to</strong>-1 basis, requiring two Title IV allowances <strong>to</strong> beretired for each <strong>to</strong>n of SO 2 emissions. Allowancesissued for vintage years 2015 and later would beretired on a basis of approximately 2.9 <strong>to</strong> 1. Thisretirement procedure is designed <strong>to</strong> integrate theCAIR rules <strong>with</strong> the existing Title IV SO 2 emissionsreduction program.Clean Air Mercury RuleCAMR (proposed as the Utility Mercury ReductionRule) for controlling mercury emissions from newand existing coal-fired power plants was promulgatedby the EPA in March 2005 and published as a finalrule in the Federal Register in May 2005 [14]. Powerplants <strong>with</strong> capacity greater than 25 megawatts andCHP units larger than 25 megawatts that sell at leas<strong>to</strong>ne-third of their electricity would be subject <strong>to</strong>CAMR.Under CAMR, Section 112 of the CAAA90 would bemodified <strong>to</strong> allow regulation of mercury emissionsunder a cap and trade program. The EPA estimatesthat CAMR, using the cap and trade approach, wouldreduce mercury emissions by nearly 70 percent whenfully implemented. The program would be implementedin two phases <strong>with</strong> a banking provision. ThePhase I cap, <strong>to</strong> be met in 2010, would be 38 short <strong>to</strong>ns;the Phase II cap, <strong>to</strong> be met in 2018, would be 15 short<strong>to</strong>ns. In addition <strong>to</strong> these national caps, new powerplants would be subject <strong>to</strong> output-based limits onmercury emissions.Under the cap and trade approach, States would submitplans <strong>to</strong> the EPA <strong>to</strong> demonstrate that they wouldmeet their assigned State-wide mercury emissionsbudgets. With EPA approval, the States could thenparticipate in the cap and trade program. Allowanceswould be allocated by the States <strong>to</strong> power companies,which could either sell or bank any excess allowances.The final rule does not include a safety valve mechanismfor allowance prices.Update on Transition <strong>to</strong> Ultra-Low-SulfurDiesel FuelOn November 8, 2005, the EPA Administra<strong>to</strong>r signeda direct final rule that will shift the retail compliancedate for offering ULSD for highway use from September1, <strong>2006</strong>, <strong>to</strong> Oc<strong>to</strong>ber 15, <strong>2006</strong>. The change willallow more time for retail outlets and terminals <strong>to</strong>comply <strong>with</strong> the new 15 parts per million (ppm) sulfurstandard, providing time for entities in the diesel fueldistribution system <strong>to</strong> flush higher sulfur fuel out ofthe system during the transition. Terminals will haveuntil September 1, <strong>2006</strong>, <strong>to</strong> complete their transitions<strong>to</strong> ULSD. The previous deadline was July 15, <strong>2006</strong>.There is no change in the June 1, <strong>2006</strong>, start date forrefiners <strong>to</strong> be producing ULSD. Also, during theextended transition period, diesel fuel meeting a22-ppm level can be temporarily marketed as ULSDat the retail pump. Finally, the EPA extended thebeginning date for the restriction on how much ULSDcan be downgraded <strong>to</strong> higher sulfur fuel by 15 days, <strong>to</strong>Oc<strong>to</strong>ber 15, <strong>2006</strong>, <strong>to</strong> be consistent <strong>with</strong> the end of thenew transition dates.The 45-day transition delay will help <strong>to</strong> ensurenationwide availability of 15-ppm ULSD before theintroduction of new model year 2007 diesel trucksand buses designed <strong>to</strong> operate on the improved fuel.These minor timing adjustments do not affect theAEO<strong>2006</strong> projections.State Restrictions onMethyl Tertiary Butyl EtherBy the end of 2005, 25 States had barred, or passedlaws banning, any more than trace levels of MTBE intheir gasoline supplies, and legislation <strong>to</strong> ban MTBEwas pending in 4 others. Some State laws addressonly MTBE; others also address ethers such as ethyltertiary butyl ether (ETBE) and tertiary amyl methylether (TAME). AEO<strong>2006</strong> assumes that all StateMTBE bans prohibit the use of all ethers for gasolineblending.Even <strong>with</strong> the removal of the oxygen content requirementfor RFG in EPACT2005, RFG is still expected <strong>to</strong>be blended <strong>with</strong> ethanol, because it is not clear whereelse refiners could obtain the clean, high-octaneblending components needed <strong>to</strong> replace MTBE, whichsupplies 11 percent of the volume and a significantportion of the rated octane of RFG. Aromatic compoundsand olefins are high-octane blending components,but they are limited by the RFG requirementsand by the Federal Mobile Source Air Toxics program.Isooctane and alkylate are clean, high-octane blendingcomponents, but refinery capacity <strong>to</strong> producethem is limited, and it is often less expensive <strong>to</strong> useethanol at up <strong>to</strong> 10 percent by volume <strong>to</strong> offset part ofthe volume loss resulting from the removal of MTBE.As noted above, EPACT2005 also mandates the use of7.5 billion gallons of renewable mo<strong>to</strong>r fuels, such as<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 29


Legislation and Regulationsethanol and biodiesel, by 2012 and requires renewablemo<strong>to</strong>r fuel use <strong>to</strong> grow at the rate of overallmo<strong>to</strong>r fuel use thereafter. In addition, some Stateshave their own renewable fuels programs. Minnesotacurrently requires all its gasoline supply <strong>to</strong> be blended<strong>with</strong> 10 percent ethanol, increasing <strong>to</strong> 20 percent ethanolif at least 50 percent of the new cars sold in theState can be guaranteed by their manufacturers <strong>to</strong> becompatible <strong>with</strong> the higher blend. Most currentau<strong>to</strong>mobiles can use a maximum of only 10 percentethanol in gasoline, and au<strong>to</strong>makers worry that widespreaduse of gasoline <strong>with</strong> 20 percent ethanol contentwill result in misfueling of vehicles not designed<strong>to</strong> use more than 10 percent ethanol.Several other State programs are contingent uponlocal ethanol supplies. Montana’s MTBE ban takeseffect only when 40 million gallons of ethanol productioncapacity is available in the State; and Hawaii hasa pending requirement for 85 percent of its gasoline<strong>to</strong> be blended <strong>with</strong> 10 percent ethanol if enough ethanolcan be produced in the State.Volumetric Excise Tax Creditfor Alternative FuelsOn August 10, 2005, President Bush signed in<strong>to</strong>law the Safe, Accountable, Flexible, and EfficientTransportation Equity Act: A Legacy for Users(SAFETEA-LU) [15]. The act includes authorizationfor a multitude of transportation infrastructure projects,establishes highway safety provisions, providesfor R&D, and includes a large number of miscellaneousprovisions related <strong>to</strong> transportation, most ofwhich are not included in AEO<strong>2006</strong> because theirenergy impacts are vague or undefined. Section11113, which provides a volumetric excise tax credi<strong>to</strong>f 50 cents per gallon for alternative fuels, such as liquidfuels derived from the Fischer-Tropsch process, isincluded in AEO<strong>2006</strong>. This tax credit is expected <strong>to</strong>have a small impact on transportation energy consumption,because it is scheduled <strong>to</strong> expire on September30, 2009, and only a small quantity ofalternative fuels will be produced in the pilot or demonstrationprojects that are expected <strong>to</strong> qualify for thecredit.30 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focus


Issues in FocusIntroductionThis section of the AEO provides in-depth discussionson <strong>to</strong>pics of special interest that may affect the projections,including significant changes in assumptionsand recent developments in technologies for energyproduction, energy consumption, and emissions controls.With world oil prices escalating in recent years,this year’s discussions place special emphasis onworld oil prices, including a discussion of EIA’s worldoil price outlook, the impact of higher world oil priceson economic growth, and changing trends in the U.S.refinery industry.AEO<strong>2006</strong> extends the AEO projections <strong>to</strong> <strong>2030</strong> for thefirst time. An important uncertainty <strong>with</strong> a longerprojection time horizon concerns the developmentand implementation of various technologies. Accordingly,this section includes a discussion of those technologiesthat, if successful, could affect the energysupply and demand projections in later years, focusingon energy technologies that could have theirgreatest impacts <strong>to</strong>ward the end of the projectionperiod, those expected <strong>to</strong> have the greatest impact inthe au<strong>to</strong>motive sec<strong>to</strong>r, and nonconventional liquidstechnologies that will play a growing role in meetingU.S. energy needs.World Oil Prices in AEO<strong>2006</strong>World oil prices in the AEO<strong>2006</strong> reference case aresubstantially higher than those in the AEO2005 referencecase. In the AEO<strong>2006</strong> reference case, worldcrude oil prices, in terms of the average price ofimported low-sulfur, light crude oil <strong>to</strong> U.S. refiners,decline from current levels <strong>to</strong> about $47 per barrel(2004 dollars) in 2014, then rise <strong>to</strong> $54 per barrel in2025 and $57 per barrel in <strong>2030</strong>. The price in 2025 isapproximately $21 per barrel higher than the correspondingprice projection in the AEO2005 referencecase (Figure 10).The oil price path in the AEO<strong>2006</strong> reference casereflects a reassessment of the willingness of oil-richcountries <strong>to</strong> expand production capacity as aggressivelyas envisioned last year. It does not represent achange in the assessment of the ultimate size of theworld’s petroleum resources but rather a lower levelof investment in oil development in key resource-richregions than was projected in AEO2005. Several fac<strong>to</strong>rscontribute <strong>to</strong> the expectation of lower investmentand oil production in key oil-rich producing regions,including continued strong worldwide economicgrowth despite high oil prices, and various restrictionson access and contracting that affect oil explorationand production companies.Although oil prices have stayed above $40 for the past2 years, world economies have continued <strong>to</strong> growstrongly: in 2004, global GDP registered the largestpercentage increase in 25 years. As a result, majoroil-exporting countries are likely <strong>to</strong> be less concernedthat oil prices will cause an economic downturn thatcould significantly reduce demand for their oil. Wheneconomies continue <strong>to</strong> grow despite higher oil prices,key suppliers have much less incentive <strong>to</strong> expand productionaggressively, because doing so could result insubstantially lower prices. Given the perceived lowresponsiveness of oil demand <strong>to</strong> price changes, suchan action could lower the revenues of oil exportersboth in the short term and over the long run.International oil companies, which normally areexpected <strong>to</strong> increase production in an environment ofhigh oil prices, lack access <strong>to</strong> resources in some keyoil-rich countries. There has been increased recognitionthat the situation is not likely <strong>to</strong> change over theprojection period. Furthermore, even in areas whereforeign investment by international oil companies ispermitted, the legal environment is often unreliableand complex and lacks clear and consistent rules ofoperation. For example, Venezuela is now attempting<strong>to</strong> change existing contracts in ways that may makeoil company investments less attractive. In 2005, Russiaannounced a ban on majority foreign participationin many new natural resource projects and imposedhigh taxes on foreign oil companies. These changes,and others like them, make investment in oil explorationand development less attractive for foreign oilcompanies.The structure of many production-sharing agreementsalso increases the risk faced by major oil companiesin volatile oil price environments. Manycontracts guarantee a return <strong>to</strong> the host governmentat a fixed price, plus some percentage if the actualFigure 10. World oil prices in the AEO2005 andAEO<strong>2006</strong> reference cases (2004 dollars per barrel)605040302010AEO2005His<strong>to</strong>ry<strong>Projections</strong>02000 2004 2010 2015 2020 2025 <strong>2030</strong>AEO<strong>2006</strong>32 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusworld oil price increases. The foreign company bearsthe full risk if the actual oil price falls below the guaranteedprice but does not reap significant rewards ifthe actual price is higher than the guaranteed price.This asymmetrical risk sharing discourages investmentwhen oil prices are likely <strong>to</strong> remain volatile. Itmay also hurt the oil-rich countries, if limited foreigninvestment prevents them from realizing the benefitsof the major technological advances that have beenmade in the oil sec<strong>to</strong>r over the past two decades.Because OPEC has less incentive <strong>to</strong> invest in expansionsof oil production capacity than was assumed inAEO2005, and because contracting provisions affectinginternational exploration and production companieshave shifted more risk <strong>to</strong> those companies, theAEO<strong>2006</strong> reference case projects slower outputgrowth from key oil-rich countries after 2014 thanwas projected in the AEO2005 reference case.<strong>Energy</strong> market projections are subject <strong>to</strong> considerableuncertainty, and oil price projections are particularlyuncertain. Small shifts in either oil supply or demand,both of which are relatively insensitive <strong>to</strong> pricechanges in the short <strong>to</strong> mid-term, can necessitatelarge movements in oil prices <strong>to</strong> res<strong>to</strong>re the balancebetween supply and demand. To address uncertaintyabout the oil price projections in the AEO<strong>2006</strong> referencecase, two alternative cases posit world oil pricesthat are consistently higher or lower than those in thereference case. These high and low price cases shouldnot be construed as representing the potential rangeof future oil prices but only as plausible cases givenchanges in certain key assumptions.The high and low price cases in AEO<strong>2006</strong> are basedon different assumptions about world oil supply. TheAEO<strong>2006</strong> reference uses the mean oil and gasresource estimate published by the U.S. GeologicalSurvey (USGS) [16]. The high price case assumes thatthe worldwide crude oil resource is 15 percent smallerand is more costly <strong>to</strong> produce than assumed in the referencecase. The low price case assumes that theworldwide resource is 15 percent more plentiful andis cheaper <strong>to</strong> produce than assumed in the referencecase. Thus, the major price differences across thethree cases reflect uncertainty <strong>with</strong> regard <strong>to</strong> both thesupply of resources (primarily undiscovered andinferred) and the cost of producing them.Figure 11 shows the three price projections. As compared<strong>with</strong> the reference case, the world oil price in<strong>2030</strong> is 68 percent higher in the high price case and 41percent lower in the low price case. As a result, worldoil consumption in <strong>2030</strong> is 13 percent lower in thehigh price case and 8 percent higher in the low pricecase than in the reference case. The high and lowprice cases illustrate that estimates of world oilresources that are lower and higher than the estimateused in the reference case can play a significant role indetermining future oil prices.The projections for world petroleum consumption in<strong>2030</strong> are 102, 118, and 128 million barrels per day inthe high, reference, and low price cases, and the projectedmarket share of world petroleum liquids productionfrom OPEC in <strong>2030</strong> is about 31 percent in thehigh price case and 40 percent in the reference caseand low price cases. Because assumed productioncosts rise from the low price case <strong>to</strong> the reference case<strong>to</strong> the high price case, the differences in net profitsamong the three cases are smaller than they mighthave been if the underlying supply curves for OPECand non-OPEC producers had remained unchanged.Although OPEC produces less output in the highprice case than in the reference case, its economicprofits are also less, because resources are assumed <strong>to</strong>be tighter and exploration and production costshigher for conventional oil worldwide. In the absenceof tighter resources and higher costs, an OPEC strategythat attempted <strong>to</strong> pursue the output path in thehigh price case would subject OPEC <strong>to</strong> the risk of losingmarket share <strong>to</strong> other producers, as well as <strong>to</strong>alternatives <strong>to</strong> oil. Further discussions of the threeprice cases and their implications for energy marketsappear in other sections of AEO<strong>2006</strong>.Economic Effects of High Oil PricesThe AEO<strong>2006</strong> projections of future energy marketconditions reflect the effects of oil prices on the macroeconomicvariables that affect oil demand, in particular,and energy demand in general. The variablesinclude real GDP growth, inflation, employment,exports and imports, and interest rates.Figure 11. World oil prices in three AEO<strong>2006</strong> cases,1980-<strong>2030</strong> (2004 dollars per barrel)10080604020His<strong>to</strong>ry<strong>Projections</strong>01980 1995 2004 2015 <strong>2030</strong>High priceReferenceLow price<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 33


Issues in FocusAlthough there is wide agreement that high oil priceshave negative effects on U.S. macroeconomic variables,the magnitude and duration of the effects areuncertain. For example, most of the major economicdownturns in the United States, Europe, and the AsiaPacific region since the 1970s have been preceded bysudden increases in crude oil prices. Although otherfac<strong>to</strong>rs were important, high oil prices played a criticalrole in substantially reducing economic growth inmost of these cases. Recent his<strong>to</strong>ry, however, tells asomewhat different s<strong>to</strong>ry. Average world crude oilprices have increased by more than $30 per barrelsince the end of 2001, yet U.S. economic activity hasremained robust, growing by approximately 2.8 percentper year from 2001 through 2004.This section describes the ways in which oil pricesaffect the U.S. economy [17], presents a brief surveyof the empirical literature on the economic impacts ofchanges in oil prices, and outlines the effects on theAEO<strong>2006</strong> reference case projections of alternativeassumptions in the high and low price cases. Theresults of the alternative cases indicate how the U.S.economy is likely <strong>to</strong> be affected by different levels ofoil prices.Macroeconomic Impacts of High Oil PricesU.S. demand for crude oil arises from demand for theproducts that are made from it—especially gasoline,diesel fuel, heating oil, and jet fuel; and changes incrude oil prices are passed on <strong>to</strong> consumers in theprices of the final petroleum products. Increases incrude oil prices affect the U.S. economy in five ways:• When the prices of petroleum products increase,consumers use more of their income <strong>to</strong> pay foroil-derived products, and their spending on othergoods and services declines. The extra amountsspent on those products go <strong>to</strong> foreign and domesticoil producers and, if wholesale margins increase,<strong>to</strong> refiners. Domestic producers may payhigher dividends and/or spend more on oil discovery,production, and distribution. Foreign producersmay spend some or all of their extra revenueson U.S. goods and services, but the types of goodsand services they buy will be different from thosethat domestic consumers would buy. How quicklyand how much domestic and foreign oil producersspend on U.S. goods and services and financialand real assets will be critical in determining theeffects of higher oil prices on the aggregate economy[18].• Oil is also a vital input for the production of a widerange of goods and services, because it is used fortransportation in businesses of all types. Higheroil prices thus increase the cost of inputs; and ifthe cost increases cannot be passed on <strong>to</strong> consumers,economic inputs such as labor and capitals<strong>to</strong>ck may be reallocated. Higher oil prices cancause worker layoffs and the idling of plants, reducingeconomic output in the short term.• Because the United States is a net importer of oil,higher oil prices affect the purchasing power ofU.S. national income through their impact on theinternational terms of trade. The increased priceof imported oil forces U.S. businesses <strong>to</strong> devotemore of their production <strong>to</strong> exports, as opposed <strong>to</strong>satisfying domestic demand for goods and services,even if there is no change in the quantity offoreign oil consumed.• Changes in oil prices can also cause economiclosses when macroeconomic frictions preventrapid changes in nominal prices for final goods(due <strong>to</strong> the costs of changing “menu” prices) or forkey inputs, such as wages. Because there is resistanceon the part of workers <strong>to</strong> real declines inwages, oil price increases typically lead <strong>to</strong> upwardpressure on nominal wage levels. Moreover, nominalprice “stickiness” is asymmetric, in that firms,unions, and other <strong>org</strong>anizations are much morereluctant <strong>to</strong> lower nominal prices and the wagesthey receive than they are <strong>to</strong> raise them. When anominal increase in oil prices threatens purchasingpower, the adjustment process is slowed, <strong>with</strong>multiplier effects throughout the economy [19].• Finally, higher oil prices cause, <strong>to</strong> varying degrees,increases in other energy prices. Dependingon the ability <strong>to</strong> substitute other energy sourcesfor petroleum, the price increases can be large andcan cause macroeconomic effects similar <strong>to</strong> the effectsof oil price increases.The nature of the oil price increases, the state of theeconomy, and the macroeconomic policies undertakenat the time may accentuate or dampen theseverity of adverse macroeconomic effects. If priceincreases are large and sudden, their impacts onshort-term growth may be much larger than if theyare gradual, because sudden oil price shocks scarehouseholds and firms and prevent them from makingoptimal decisions in the near term.On the potential output side, sudden large priceincreases create widespread uncertainty about appropriateproduction techniques, purchases of newequipment and consumer durable goods like au<strong>to</strong>mobiles,and wage and price negotiations. As firms andhouseholds adjust <strong>to</strong> the new conditions, some plant34 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusand equipment will remain idle, some workers will betemporarily unemployed, and the economy mayno longer operate along its long-run productionpossibilityfrontier. Although it is easy <strong>to</strong> differentiategradual from rapid price increases on a conceptualbasis, empirical differentiation is more difficult.In terms of the state of the economy, if the economyis already suffering from high inflation and unemployment,as in the late 1970s, then the oil priceincreases have the potential <strong>to</strong> cause severe damageby limiting economic policy options. Many analystsassert that it was the monetary policy undertaken inthe 1970s that really damaged the U.S. economy.The economic policies that are followed in response <strong>to</strong>a combination of higher inflation, higher unemployment,lower exchange rates, and lower real outputalso affect the overall economic impact of higher oilprices over the longer term. Sound economic policiesmay not completely eliminate the adverse impacts ofhigh oil prices described above, but they can moderatethem. Conversely, inappropriate economic policiescan exacerbate the adverse impacts. Overly contractionarymonetary and fiscal policies <strong>to</strong> contain inflationarypressures can worsen the recessionary effectson income and unemployment; expansionary monetaryand fiscal policies may simply delay the fall inreal income necessitated by the increase in oil prices,s<strong>to</strong>ke inflationary pressures, and worsen the impac<strong>to</strong>f higher prices in the long run.Empirical Studies of Oil Price EffectsThe mechanism by which oil prices affect economicperformance is generally well unders<strong>to</strong>od, but theprecise dynamics and magnitude of the effects areuncertain. Quantitative estimates of the overall macroeconomicdamage caused by oil price shocks in thepast and of the economic gains realized by oilimportingcountries as a result of the oil price collapsein 1986 vary substantially, in part because of differencesin the models used <strong>to</strong> examine the issue [20].Two different approaches have been used <strong>to</strong> estimatethe magnitude of oil price effects on the U.S. economy.One uses large, disaggregated macroeconomicmodels of the economy, and the other uses time-seriesanalysis of his<strong>to</strong>rical events <strong>to</strong> estimate directly themacroeconomic effects of oil price changes.In the first approach, macroeconomic models are usedin attempts <strong>to</strong> account for all the relationships amongthe major macroeconomic variables in the economy(as described by the National Income and Product,Balance of Payments, and Flow of Funds Accounts),and his<strong>to</strong>rical data are used <strong>to</strong> estimate statisticallythe parameters linking the variables. The advantagesof macroeconomic models are consistent accountingof macroeconomic relationships over time and theability <strong>to</strong> account for other events taking place.A recent Stanford University <strong>Energy</strong> Modeling Forum(EMF) study by Hillard Hunting<strong>to</strong>n found thatmost macroeconomic models report similar economiceffects of oil price increases [21]. Table 9 shows theresults for real GDP, the GDP price defla<strong>to</strong>r, andunemployment obtained from three models and theiraverages [22]. The results are shown for a 33-percentincrease in the oil price, from $30 <strong>to</strong> $40. For example,the output results in Table 9 imply that a 33-percentincrease in the oil price sustained for 2 years reducesreal GDP relative <strong>to</strong> the baseline by 0.2 percent in thefirst year and 0.5 percent in the second year. In termsof an elasticity response of real GDP <strong>to</strong> oil price, thepercentage change in real GDP relative <strong>to</strong> the percentagechange in oil price is approximately 0.01 inthe first year and 0.02 in the second year.The second approach is simpler, focusing specificallyon the relationship between changes in crude oilprices and some measure of their economic impact,such as aggregate output, inflation, or unemployment.Time-series analyses of his<strong>to</strong>rical data are used<strong>to</strong> estimate statistically an equation (or a system ofequations called “vec<strong>to</strong>r au<strong>to</strong>regressions”) thatexplains economic growth rates as a function of thepast growth in the economy and past changes in crudeoil prices. Many studies add the past values of additionalvariables <strong>to</strong> the system in order <strong>to</strong> incorporatetheir interactions <strong>with</strong> the oil price and GDPvariables.Table 9. Macroeconomic model estimates ofeconomic impacts from oil price increases(percent change from baseline GDPfor an increase of $10 per barrel)Estimate Year 1 Year 2Global Insight, Inc.Real GDP -0.3 -0.6GDP price defla<strong>to</strong>r 0.2 0.5Unemployment 0.1 0.2U.S. Federal Reserve BankReal GDP -0.2 -0.4GDP price defla<strong>to</strong>r 0.5 0.3Unemployment 0.1 0.2National Institute of Economic and Social ResearchReal GDP -0.2 -0.5GDP price defla<strong>to</strong>r 0.3 0.5AverageReal GDP -0.2 -0.5GDP price defla<strong>to</strong>r 0.3 0.4Unemployment 0.1 0.2<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 35


Issues in FocusTable 10 shows results for the U.S. economy from arecent study by Jimenez-Rodriguez and Sanchez [23],which are representative of the results obtained inthe time-series literature. Due <strong>to</strong> the nature of thereduced-form framework used, the results are directestimates of GDP elasticities <strong>with</strong> respect <strong>to</strong> oil pricechanges as of the given quarter after the permanentprice change. The asymmetric results allow separateestimates of GDP elasticity for oil price increases,decreases, and net increases (when oil prices exceedthe maximum over the previous 12 quarters). Whenthe six-quarter GDP elasticity estimated by Jimenez-Rodriguez and Sanchez (approximately 0.05) isapplied <strong>to</strong> a 33-percent price increase (<strong>to</strong> be comparable<strong>with</strong> the average macroeconomic simulationresponse in Table 10), real GDP declines by 1.7 percent—morethan 3 times the effect on real GDP inmacroeconomic simulations.Generally, as indicated by the results in Table 10,time-series studies show larger impacts on outputand other variables than do macroeconomic simulations.Hunting<strong>to</strong>n offers four major reasons as <strong>to</strong> whythe empirical estimates are so different:• The larger impacts calculated from direct statisticalestimations often are attributed <strong>to</strong> a range ofmacroeconomic frictions that could make theeconomy’s response <strong>to</strong> an oil price shock fundamentallydifferent from its response <strong>to</strong> a smallerincrease in oil prices. Large macroeconomic modelsdo not differentiate between oil price increasesand decreases, or between surprise events andmore gradual price adjustments.• The larger estimates from time-series models mayalso reflect baseline economic conditions beforean oil price disruption that are fundamentally differentfrom <strong>to</strong>day’s economic environment. Forexample, the oil price shocks of the 1970s hit theU.S. economy when it already was experiencinginflationary pressures.• His<strong>to</strong>rical oil price shocks reduced not only aggregateoutput but also the country’s purchasingpower. Real national income fell as the costsof buying international goods (including oil)increased more than income from exports. Thehigher prices made the country poorer by requiringmore exports <strong>to</strong> balance each barrel of importedoil, leaving less aggregate output fordomestic consumption.• The oil price shocks of the 1970s completely surprisedfirms and households in many differentcountries at the same time. Firms and householdsmade decisions about production and prices thathad important consequences for the strategies ofother firms in the economy [24]. And yet, therewas little opportunity <strong>to</strong> coordinate strategies insuch an uncertain world. Now, after several differen<strong>to</strong>il price episodes, there has been significantlearning about how <strong>to</strong> cope <strong>with</strong> theuncertainties created by oil price shocks. It is unlikelythat firms and households will be surprisedin the same way or <strong>to</strong> the same degree as theywere by earlier shocks.If crude oil prices rise early in a particular year, whatwill be the impact on the economy at the end of thefollowing year? Hunting<strong>to</strong>n offers the following tentativeanswers, and Table 11 summarizes the impactson GDP, as well as the impacts on the GDP pricedefla<strong>to</strong>r for all goods and services and the unemploymentrate. If the economy is operating at its potentialoutput level and inflation is constant, a reasonableestimate is that a 10-percent increase in the price ofoil that does not surprise households and firms(higher oil price in Table 11) will reduce potential output(GDP) by 0.2 percent. If the economy is operatingwell below its potential output level, the impact onGDP may be somewhat larger but is unlikely <strong>to</strong>exceed 0.2 percent after the first year. If the oil priceincrease comes as a complete surprise and the economyis already in a rising inflationary environment(oil price shock in Table 11), then it has the potential<strong>to</strong> cause larger economic losses, which would be closer<strong>to</strong> those predicted by time-series models.Table 10. Time-series estimates of economic impacts Table 11. Summary of U.S. oil price-GDP elasticitiesfrom oil price increases (percent change frombaseline GDP for an increase of $10 per barrel) Price effect Year 1 Year 2AsymmetricQuarter Price increase Price decreaseNet priceincrease4 -0.048 -0.014 -0.0466 -0.051 0.002 -0.0588 -0.046 0.011 -0.05410 -0.044 0.010 -0.04812 -0.042 0.010 -0.043Higher oil priceReal GDP -0.011 -0.021GDP price defla<strong>to</strong>r 0.007 0.017Unemployment rate 0.004 0.007Oil price shockReal GDP -0.024 -0.050GDP price defla<strong>to</strong>r 0.019 0.034Unemployment rate 0.009 0.02036 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in FocusAEO<strong>2006</strong> Price CasesThe key feature of the AEO<strong>2006</strong> high and low worldoil price paths is that they are not characterized bydisruption, but rather represent a gradual and sustainedmovement relative <strong>to</strong> the reference case path.Keeping this distinction in mind, the MacroeconomicActivity Module in NEMS, which contains the GlobalInsight Inc. (GII) Macroeconomic Model, is used <strong>to</strong>assess the economic impacts of the alternative pricepaths.Most of the results projected for the U.S. economy inthe high and low price cases relative <strong>to</strong> the referencecase are similar <strong>to</strong> the results for macroeconomicmodels discussed above. The AEO<strong>2006</strong> high and lowprice cases are unique, however, in that they traceout, in a consistent manner, both the short-termimpacts of oil price increases and the longer termadjustments of the economy in response <strong>to</strong> sustainedhigh and low prices by employing a disaggregatedmacroeconomic model integrated <strong>with</strong> a very detailedenergy market model—NEMS.Figure 12 shows the percentage change from the referencecase projections for real GDP and oil prices inthe AEO<strong>2006</strong> high and low price cases. In the highprice case, oil prices rise rapidly <strong>to</strong> 70 percent abovereference case prices <strong>with</strong>in 10 years (2016), thenclimb more gradually <strong>to</strong> 80 percent above referencecase prices in <strong>2030</strong>. In the low price case, oil prices donot change by as much relative <strong>to</strong> the reference case,declining <strong>to</strong> 34 percent below reference case prices in2016 and 44 percent below in <strong>2030</strong>. Consequently, themacroeconomic effects in the two cases are notexpected <strong>to</strong> be symmetric.In each of the three cases, the U.S. economy growsat an average annual rate of 3.0 percent from 2004Figure 12. Changes in world oil price and U.S. realGDP in the AEO<strong>2006</strong> high and low price cases,2004-<strong>2030</strong> (percent difference from reference case)2.080.01.5Oil price01.0-44.02004 <strong>2030</strong>0.50.0-0.5-1.0-1.5Real GDP-2.02004 2010 2015 2020 2025 <strong>2030</strong>Low priceHigh pricethrough <strong>2030</strong> (although the average growth rates inthe three cases do differ when calculated <strong>to</strong> two ormore decimal places). With such significant differencesin oil price paths in the three cases, why is theimpact on the long-term real GDP growth rate sosmall? The major reasons have <strong>to</strong> do <strong>with</strong> the natureof the oil price increases and decreases relative <strong>to</strong> thereference case and their short-term versus long-termimpacts on the economy.The oil price projections for 2005 and <strong>2006</strong> are thesame in the three cases. From 2007 <strong>to</strong> 2010, the realoil price increases by more than 2 percent annually inthe high price case, declines by 5 percent annually inthe reference case, and declines by 9.4 percent annuallyin the low price case. From 2010 <strong>to</strong> 2015, theannual changes in oil prices in the three cases average4 percent, -0.5 percent, and -5 percent, respectively.After 2015 the differences narrow considerably, andby <strong>2030</strong> the annual increases in oil prices average 1.1percent in the high price case, 0.8 percent in the referencecase, and zero in the low price case. With themaximum differences in growth rates among thethree cases occurring in 2010, the peak impacts onreal GDP and other economic variables occur approximately2 years later, in 2012.Over the <strong>2006</strong>-<strong>2030</strong> period, real GDP in the high priceand low price cases deviates from that in the referencecase for a considerable period. As the economyadjusts <strong>to</strong> the oil price changes, however, the differencesbecome smaller, and by <strong>2030</strong> real GDP isapproximately the same in the three cases, at $23,112billion in the reference case, $23,054 billion in thehigh price case, and $23,178 billion in the low pricecase.The discounted sum of changes in real GDP over theentire projection period provides a better indica<strong>to</strong>r ofnet effects on the economy. In the low price case, thesum of the changes in real GDP, discounted at a7-percent annual rate, over the <strong>2006</strong>-<strong>2030</strong> period is$665 billion, and in the high price case the sum is-$869 billion. These sums represent approximately0.4 percent and -0.5 percent, respectively, of the <strong>to</strong>taldiscounted real GDP in the reference case over thesame period.The elasticity of real GDP <strong>with</strong> respect <strong>to</strong> oil pricechanges over the <strong>2006</strong>-<strong>2030</strong> period is -0.007 in boththe high price and low price cases. The year-by-year(marginal) and up-<strong>to</strong>-the-year (average) elasticities ofreal GDP <strong>with</strong> respect <strong>to</strong> oil price changes in the highprice case (Figure 13) shows that the short-termeffects of oil price increases are larger than theirlong-term effects.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 37


Issues in FocusTo portray the short-term dynamics of the economyas it reacts <strong>to</strong> oil price changes, Table 12 shows 5-yearaverage annual growth rates for U.S. oil prices (theimported refiners acquisition cost of crude oil), realGDP, potential GDP, and the consumer price index(CPI), as well as 5-year averages for the Federal fundsrate and unemployment rate, over the 2005-<strong>2030</strong>period. Higher oil prices in the short term feedthrough the economy and reduce aggregate expenditureson goods and services. As aggregate demand isless than aggregate supply, unemployment increases.With higher prices there would also be a tendency forinterest rates <strong>to</strong> rise. In the high price case, real GDPgrowth averages 3 percent per year over the 2005-2010 period, CPI inflation averages 2.3 percent peryear, and the average unemployment rate for the5-year period is 5 percent. In the reference case, thecomparable rates are 3.2 percent (average annual realGDP growth), 2 percent (average annual CPI inflation),and 4.8 percent (unemployment). PotentialGDP growth and the Federal funds rate are not significantlydifferent in the two cases over the 2005-2010 period. The impacts of high prices on real GDPshown in Table 12 are in agreement <strong>with</strong> the averageresults shown in Table 9.In the high price case, as unemployment increases,the Federal Reserve lowers the Federal funds ratefrom its projected level in the reference case. At thesame time, <strong>to</strong>tal employment costs are lower, whichtends <strong>to</strong> slow price growth in the economy. Over the2010-2015 period, even though oil prices continue <strong>to</strong>grow by 4.1 percent annually in the high price case (asopposed <strong>to</strong> declining by 0.5 percent annually in thereference case), real GDP growth is about the same inthe two cases, although it is increasing from a lowerFigure 13. GDP elasticities <strong>with</strong> respect <strong>to</strong> oil pricechanges in the high price case, <strong>2006</strong>-<strong>2030</strong>0.000-0.010-0.020-0.0302005 2010 2015 2020 2025 <strong>2030</strong>Year-by-yearPeriod averageTable 12. Economic indica<strong>to</strong>rs in the reference, high price, and low price cases, 2005-<strong>2030</strong> (percent)Indica<strong>to</strong>r 2005-2010 2010-2015 2015-2020 2020-2025 2025-<strong>2030</strong> 2005-<strong>2030</strong>Reference caseAverage annual growth ratesOil price -2.3 -0.5 0.9 1.3 0.8 0.0Real GDP 3.2 2.9 3.1 2.8 2.8 3.0Potential GDP 3.3 2.4 2.6 2.8 2.8 2.8Consumer price index 2.0 2.7 3.0 3.0 2.8 2.75-year averagesFederal funds rate 4.6 5.4 5.4 5.1 5.0 5.1Unemployment rate 4.8 4.7 4.4 4.6 4.9 4.7High price caseAverage annual growth ratesOil price 3.6 4.1 2.1 1.2 1.2 2.4Real GDP 3.0 2.9 3.2 2.8 2.8 2.9Potential GDP 3.2 2.4 2.7 2.8 2.8 2.8Consumer price index 2.3 2.9 2.8 2.7 2.7 2.75-year averagesFederal funds rate 4.6 5.2 4.9 4.7 4.7 4.8Unemployment rate 5.0 5.2 4.7 4.7 4.9 4.9Low price caseAverage annual growth ratesOil price -5.6 -4.8 -0.7 0.0 0.0 -2.3Real GDP 3.3 3.0 3.0 2.8 2.8 3.0Potential GDP 3.3 2.4 2.6 2.9 2.9 2.8Consumer price index 1.9 2.6 3.1 3.0 2.9 2.75-year averagesFederal funds rate 4.5 5.5 5.6 5.3 5.3 5.2Unemployment rate 4.8 4.5 4.2 4.5 4.8 4.638 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusbase in the high price case. The Federal funds rate islower in the high price case than in the reference case,and the unemployment and CPI inflation rates arehigher.After 2015, as the differential in the oil price growthrates between the high price and reference casesshrinks, rebound effects from the lower employmentcosts and lower Federal funds rate in the high pricecase are stronger than the contractionary impacts ofhigher oil prices, leading <strong>to</strong> higher real GDP growthand lower CPI inflation than in the reference case. Asa result, in <strong>2030</strong>, the real GDP growth rate and unemploymentrate in the high price case are nearly thesame as in the reference case, but the Federal fundsrate is lower.The assumptions behind the oil price cases are that:the price changes do not come as a shock and come <strong>to</strong>be expected over time; the Federal Reserve is able <strong>to</strong>carry out an activist monetary policy effectively,because core inflation remains low; exchange rates donot change from those in the reference case; andother countries experience impacts similar <strong>to</strong> those inthe United States. Changes in any of these assumptionscould increase the projected impacts on the U.S.economy.The economic impact of oil price changes is an issuethat continues <strong>to</strong> attract considerable attention, especiallyat this time, when oil prices have continued <strong>to</strong>rise over the past 3 years. Over the past 30 years,much has been learned about the nature of the economicimpacts and the extent of damage possible.Empirical estimates based on his<strong>to</strong>ry provide two setsof results. In the 1970s and 1980s the damages weresubstantial, and it is believed that recession followed—andmay have been caused by—the oil priceincreases. Current literature suggests that, in <strong>to</strong>day’sU.S. economy, sustained higher oil prices can slowshort-term growth but are not likely <strong>to</strong> cause a recessionunless other fac<strong>to</strong>rs are present that shock economicdecisionmakers or lead <strong>to</strong> inappropriateeconomic policies. The AEO<strong>2006</strong> high and low pricecases provide estimates of the economic impacts onsuch an economy, and the projections in the pricecases are <strong>with</strong>in the range that other macroeconomicmodels predict.Changing Trends in the Refining IndustryThere have been some major changes in the U.S.refining industry recently, prompted in part by a significantdecline in the quality of imported crude oiland by increasing restrictions on the quality offinished products. As a result, high-quality crudes,such as the WTI crude that serves as a benchmark foroil futures on the New York Mercantile Exchange(NYMEX), have been trading at record premiums <strong>to</strong>the OPEC Basket price.WTI is a “light, sweet” crude: light because of its lowdensity and sweet because it has less than 0.5 percentsulfur content by weight. This combination of characteristicsmakes it an ideal crude oil <strong>to</strong> be refined in theUnited States, yielding a greater portion of its volumeas “light products,” including both gasoline and dieselfuel. Premium crudes like WTI yield almost 70 percen<strong>to</strong>f their volume as light, high-value products,whereas heavier crudes like Mars (from the deepwaterGulf of Mexico) yield only about 50 percent oftheir volume as light products. The AEO<strong>2006</strong> projectionsuse the average price of imported light, sweetcrudes as the benchmark world oil price [25].The average sulfur content of U.S. crude oil importsincreased from 0.9 percent in 1985 <strong>to</strong> 1.4 percent in2005 [26], and the slate of imports is expected <strong>to</strong> continue“souring” in coming years. Crude oils are alsobecoming heavier and more corrosive than they werein the past, largely because fields <strong>with</strong> higher qualityvarieties were the first <strong>to</strong> be developed, and refiners’preference for quality crudes has led <strong>to</strong> the depletionof those reserves over the past 100 years and reducedthe market share of the light, sweet crude thatremains.The industry standard measure for oil density is APIgravity; a lower gravity indicates higher density(heavy viscous oil), and a higher gravity indicateslower density (lighter, thinner oil). Over the past 20years, the API gravity of imported crude oil hassteadily declined, from 32.5 degrees <strong>to</strong> 30.2 degrees[27]. The standard measure for corrosiveness is the<strong>to</strong>tal acid number (TAN), indicating the number ofmilligrams of potassium hydroxide needed <strong>to</strong> neutralizethe acid in 1 gram of oil. The most corrosivecrudes, <strong>with</strong> TANs greater than 1, require significantaccommodation <strong>to</strong> be processed. Usually, their corrosivenessis mitigated by the addition of basic compounds<strong>to</strong> neutralize the acid; however, some refinershave chosen instead <strong>to</strong> upgrade all their piping andunit materials <strong>to</strong> stainless steel. Whereas there werevirtually no high-TAN crudes processed in 1990, theynow make up about 2 percent of the crude oil slate,and a Purvin & Gertz forecast indicates that they willincrease <strong>to</strong> 5 percent or more in 2020 [28] (Figure 14).As refining inputs have declined in quality, demandfor high-quality refined products has increased. The<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 39


Issues in FocusEPA has developed new environmental rules that willrequire refineries <strong>to</strong> reduce the amount of sulfur inmost gasoline <strong>to</strong> 30 ppm by <strong>2006</strong>, from over 400 ppmin the early 1990s, and the sulfur content of highwaydiesel fuel <strong>to</strong> 15 ppm by Oc<strong>to</strong>ber <strong>2006</strong>, from over 2,000ppm before 1993. By 2014, virtually all diesel fuelmust be below 15 ppm [29] (Figure 15). To meet thesespecifications at the pump, refiners must produce dieselcontaining one-half that amount of sulfur before itenters the distribution system, because the lowsulfurproduct is expected <strong>to</strong> pick up trace amounts ofsulfur as it moves through pipelines and other distributionchannels.To meet higher quality standards <strong>with</strong> poorer qualityfeeds<strong>to</strong>cks will require significant investment by U.S.refiners. The principal method for reducing sulfurcontent in fuels is hydrotreating, a chemical processin which hydrogen reacts <strong>with</strong> the sulfur in crude oil<strong>to</strong> create hydrogen sulfide gas that can easily beremoved from the oil. Hydrotreaters are specializedfor the refinery streams they process. In aggregate,the dramatically lower sulfur specifications for petroleumfuels will necessitate a doubling of U.S.hydrotreating capacity by <strong>2030</strong>, <strong>to</strong> 27 million barrelsa day, from 14 million barrels a day in 2004. Most ofthe new capacity (23.4 million barrels a day) isexpected <strong>to</strong> be installed by 2015 (Figure 16).the refinery. Extra heavy oils, like those from theOrinoco region in Venezuela or the Alberta tar sandsin Canada, are typically upgraded in a process that isboth capital- and energy-intensive but can yield ahighly desirable product. Canada’s Syncrude SweetBlend produced from tar sands is a high-quality syntheticcrude (syncrude) that trades at near parity<strong>with</strong> WTI; however, the cost of the upgrades is almost$15 a barrel, in addition <strong>to</strong> the cost of tar sandsrecovery.The second approach is <strong>to</strong> “convert” heavy oil at therefinery directly <strong>to</strong> light products, in a process moretypical of the refining process for conventional oils.Chief among methods of conversion is thermal coking,in which heavy oil from a vacuum distillation unitis fed <strong>to</strong> a heating unit (coker) that splits off lighterhydrocarbon chains and routes them <strong>to</strong> the traditionalrefinery units. The almost pure carbon remainingis a coal-like substance known as petroleum coke.The accumulated coke can be removed from thecoking vessels during an off cycle and either sold,primarily as a fuel for electricity generation, or usedFigure 14. Purvin & Gertz forecast for world oilproduction by crude oil quality, 1990-2020(million barrels per day)100His<strong>to</strong>ry<strong>Projections</strong>Low maximum sulfur specifications may also haveimplications for products not directly affected by thepending EPA rules. Suppliers of such high-sulfurproducts as jet fuel, home heating oil, and residualfuel may have <strong>to</strong> find alternative distribution channelsif pipeline opera<strong>to</strong>rs concerned about contaminations<strong>to</strong>p accepting high-sulfur fuels.As for adapting <strong>to</strong> heavier crude slates, there are twobasic approaches. The first is <strong>to</strong> “upgrade” the oil <strong>to</strong> alighter oil in the producing region, before it is sent <strong>to</strong>8060402001990 1995 2000 2005 2010 2015 2020High TANHeavy sourLight sourLight sweetFigure 15. Sulfur content specifications for U.S.petroleum products, 1990-2014 (parts per million)3,000His<strong>to</strong>ryNonroad diesel<strong>Projections</strong>Figure 16. U.S. hydrotreating capacity, 1990-<strong>2030</strong>(million barrels per day)30 His<strong>to</strong>ry <strong>Projections</strong>252,000Highway diesel20151,000Traditional gasoline10Reformulated gasoline01990 1995 2000 2005 2010 2014501990 1995 2000 2004 2010 2015 2020 2025 <strong>2030</strong>40 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusin gasification units <strong>to</strong> provide power, steam, and/orhydrogen for the refinery.U.S. refineries are among the most advanced in theworld, and their technological lead will undoubtedlyleave U.S. refiners uniquely prepared <strong>to</strong> adapt andtake advantage of discounts available for processinginferior crudes. Adaptation will require extensivefuture investments, however, and may take sometime <strong>to</strong> achieve.<strong>Energy</strong> Technologies on the HorizonA key issue in mid-term forecasting is the representationof changing and developing technologies. Howexisting technologies will evolve, and what new technologiesmight emerge, cannot be known <strong>with</strong> certainty.The issue is of particular importance inAEO<strong>2006</strong>, the first AEO <strong>with</strong> projections out <strong>to</strong> <strong>2030</strong>.For each of the energy supply and demand sec<strong>to</strong>rsrepresented in NEMS, there are key technologiesthat, while they may not be important in the market<strong>to</strong>day, could play a role in the U.S. energy economy by<strong>2030</strong> if their cost and/or performance characteristicsimprove <strong>with</strong> successful R&D. Moreover, it is possible,if not likely, that technologies not yet conceivedcould be important 20 <strong>to</strong> 30 years from now. Althoughthe direction and pace of change are unpredictable,technological progress is certain <strong>to</strong> continue.Buildings Sec<strong>to</strong>rA variety of new technologies could influence futureenergy use in residential and commercial buildingsbeyond the levels projected in AEO<strong>2006</strong>. Two suchtechnologies are solid-state lighting and “zeroenergy” homes.Solid-state lighting. Solid-state lighting (SSL) is anemerging technology for general lighting applicationsin buildings. Two types of SSL currently under developmentare semiconduc<strong>to</strong>r-based light-emitting diode(LED) and <strong>org</strong>anic light-emitting diode (OLED) technologies.Both are commercially available for specializedlighting applications. Consumers are likely <strong>to</strong> befamiliar <strong>with</strong> the use of LEDs in traffic signals, exitsigns and similar displays, vehicle tail lights, andflashlights. They are less likely <strong>to</strong> be familiar <strong>with</strong>OLEDs, used in high-resolution display panels forcomputers and other electronic devices.Lighting accounted for 16 percent of <strong>to</strong>tal primaryenergy consumption in buildings in 2004, second only<strong>to</strong> space heating at 20 percent. Thus, changes in theassumptions made about development and enhancemen<strong>to</strong>f SSL technologies could have a significantimpact on projected <strong>to</strong>tal energy consumption in residentialand commercial buildings through <strong>2030</strong>.Beginning <strong>with</strong> AEO2005, SSL based on LED technologyhas been included as an option in the NEMSCommercial Module, based on currently availableproducts. Those products are more than four times asexpensive as comparable incandescent lighting, <strong>with</strong>only slightly greater efficiency (called “efficacy” andmeasured in lumens per watt), and so have virtuallyno impact in the AEO<strong>2006</strong> projections. In order forLEDs and OLEDs <strong>to</strong> compete successfully in generallighting applications, several R&D hurdles must beovercome: costs must be reduced, efficacy must beincreased, and improved techniques must be developedfor generating light <strong>with</strong> a high color renderingindex (CRI) that more closely approximates the spectrumof natural light and is needed for many buildingapplications.DOE’s R&D goals call for SSL costs <strong>to</strong> fall dramaticallyby <strong>2030</strong>. The real promise for LED lighting isthat efficacies could approach 150 <strong>to</strong> 200 lumens perwatt—more than twice the efficacy of current fluorescenttechnologies and roughly 10 times the efficacy ofincandescent lighting [30]. An additional goal is <strong>to</strong>increase LED operating lifetimes from 30,000 hours<strong>to</strong> 100,000 hours or more, which would far exceed theuseful lifetimes of conventional technologies (generally,between 1,000 and 20,000 hours). Longer usefuloperating lives are particularly valuable in commercialapplications where lamp replacement representsa major element of lighting costs.For general illumination applications, OLED technologylags behind LED technology. If research goals arerealized, the advantages of OLED technology will belower production costs than LEDs, similar theoreticalefficacies (200 lumens per watt for white light), andthe flexibility <strong>to</strong> serve as a source of distributed lighting,as is currently provided by fluorescent lamps.Zero energy homes. DOE’s Zero <strong>Energy</strong> Homes (ZEH)program encompasses several existing technologiesrather than a single emerging technology. The ZEHprogram takes a “whole house” approach <strong>to</strong> reducingnonrenewable energy consumption in residentialbuildings by integrating energy-efficient technologiesfor building shells and appliances <strong>with</strong> solar waterheating and PV technologies <strong>to</strong> reduce annual netconsumption of energy from nonrenewable sources <strong>to</strong>zero [31]. This is an emerging integrated technology;the ZEH concept is novel for conventional housingunits [32]. ZEH pro<strong>to</strong>types have been shown <strong>to</strong> generatemore electric energy than they consume during<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 41


Issues in Focusperiods of peak demand for air conditioning, whileapproaching the goal of zero net annual energy purchases.The technological hurdle is <strong>to</strong> make ZEHhomes <strong>with</strong>out subsidies both cost-competitive andattractive as alternatives <strong>to</strong> conventional homes.ZEH homes currently are not characterized or identifiedas an integrated technology in the NEMS ResidentialModule; however, most of the constituentZEH technologies are characterized as separateoptions. Several whole-house options are modeled,characterized according <strong>to</strong> their efficiencies relative<strong>to</strong> current residential energy codes, <strong>with</strong> the followingoptions:• Current residential code• 30 percent more efficient than current code (modeled<strong>to</strong> meet ENERGY STAR requirements)• 40 percent more efficient than current code• 50 percent more efficient than current code (modeledalong the lines of PATH concepts [33])• Solar PV and solar water heating technologies.In addition <strong>to</strong> ZEH, a long list of emerging buildingstechnologies has been compiled by the AmericanCouncil for an <strong>Energy</strong>-Efficient Economy. Theyincluded six identified as high-priority technologieson the basis of such criteria as the cost of conservedenergy, savings potential, and likelihood of success:• For residential and small commercial buildings:1-watt standby power for consumer appliances,aerosol-based duct sealing, and leak-proof ducts• For commercial buildings: integrated building design,computerized building diagnostics, and“retro-commissioning” [34].Because they are still in the early stages of development,the information needed <strong>to</strong> characterize thesesix high-priority technologies or programs is not yetavailable, and they are not included in AEO<strong>2006</strong>;however, they do hold promise if they can be successfullycommercialized.Industrial Sec<strong>to</strong>rThe industrial sec<strong>to</strong>r is diverse, and there are manypotential technological innovations that could affectindustrial energy use over the next 25 years. Twotechnologies, fuel gasification and nanotechnologies,could have impacts across a broad array of industries.Gasification could be especially important <strong>to</strong> thepaper business; successful nanotechnologies couldhave very broad impacts.Black liquor gasification. Black liquor is a waste productfrom papermaking. It contains in<strong>org</strong>anic chemicalsthat are recovered for reuse in the papermakingprocesses and lignin from the initial pulpwood inputsthat is also recovered and used as a fuel for boilers andfor cogeneration. Current practice uses Tomlinsonboilers <strong>to</strong> recover the in<strong>org</strong>anic chemicals andcombust the <strong>org</strong>anics <strong>to</strong> produce steam [35]. Blackliquor gasification coupled <strong>with</strong> a combined-cyclepower plant (BLGCC) has been proposed as a way <strong>to</strong>make better use of the lignin and recover a larger portionof the in<strong>org</strong>anic chemicals from the liquor.R&D on BLGCC technology has been underway forseveral years. The American Forest and Paper Association’sAgenda 2020: Technology Vision and ResearchAgenda for America’s Forest, Wood and PaperIndustry, first published in 1994, has been revisedseveral times over the years. A recent progress reportindicates that successful industry-wide implementationof BLGCC could provide an additional 30gigawatts of on-site electricity generation capacitybeyond the 8 gigawatts operating in 2004 [36].DOE-sponsored R&D activities in support of BLGCCwere evaluated by the National Academy of Sciences(NAS) in a 2001 report [37], in which it was indicatedthat DOE’s expectation that Tomlinson boilers wouldbe replaced in a 10- <strong>to</strong> 20-year time frame probablywas optimistic. The report also noted that “movingfrom the existing black liquor gasification units <strong>to</strong>systems suitable for use <strong>with</strong> combined cycle requiresbench-scale research as well as demonstration.” Thetechnology is not explicitly represented in AEO<strong>2006</strong>and is not expected <strong>to</strong> have an impact on the industrialsec<strong>to</strong>r in the reference case. In the high technologycase, the potential impact of BLGCC isrepresented as an increasing amount of biomassbasedCHP capacity, up <strong>to</strong> 3 gigawatts (43 percent)more than in the reference case in <strong>2030</strong>.Nanotechnology. Nanotechnology refers <strong>to</strong> a widerange of scientific or technological projects that focuson phenomena at the nanometer (nm) scale (around0.1 <strong>to</strong> 100 nm) [38]. While not as far along as BLGCC,nanotechnologies have much larger potential impactsif they are successfully developed. Indeed, it has beensuggested that nanotechnology applications in theindustrial sec<strong>to</strong>r could yield a new industrial revolution[39]. Possible applications include, for example,very thin solar silicon panels that could be embeddedin paint [40]; very thin video screens <strong>with</strong> about thesame thickness and flexibility as newspapers, whichcould be updated continuously <strong>with</strong> current news[41]; and very strong, very light materials that could42 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusrevolutionize transportation systems and dramaticallyreduce per capita energy consumption [42].While the potential applications of nanotechnologiesare diverse, many issues, including potential impactson human health, remain <strong>to</strong> be studied. AEO<strong>2006</strong>does not include potential energy applications ofnanotechnology, because they still are speculative.Transportation Sec<strong>to</strong>rThe transportation module in NEMS addresses technologiesspecific <strong>to</strong> light-duty vehicles, heavy trucks,and aircraft. The majority of the advanced technologiesrepresented reflect improvements <strong>to</strong> conventionalpower train components, including suchtechnologies as variable valve timing and lift, camlessvalve actuation, advanced light-weight materials,six-speed and continuously variable transmissions,cylinder deactivation, and electronically driven parasiticdevices (power steering pumps, water pumps,etc.). Vehicles powered by batteries or fuel cells arealso explicitly represented in AEO<strong>2006</strong>, but their penetrationresults largely from legislatively mandatedsales.Transportation technologies not currently includedin NEMS that could potentially become viable marke<strong>to</strong>ptions include homogeneous charge compressionignition (HCCI), grid-connected hybrid vehicles, andhydraulic hybrid vehicles. HCCI—which combinesfeatures of both spark-ignited (gasoline) and compression-ignited(diesel) engines—can operate on avariety of fuels. In the HCCI engine, an extremelylean mixture of fuel and air is au<strong>to</strong>ignited in the cylindervia compression. Au<strong>to</strong>ignition can damage thepis<strong>to</strong>ns in spark-ignited engines, but the extremelyhigh air-<strong>to</strong>-fuel ratio in HCCI engines prevents flamepropagation and results in a much cooler burn. As aresult, HCCI engines are very efficient, <strong>with</strong> low levelsof emissions that do not require expensiveafter-treatment devices. The fuel properties and cylinderconditions needed for HCCI combustion arewell unders<strong>to</strong>od; however, it is extremely difficult <strong>to</strong>control ignition in multiple-cylinder engines across awide range of load conditions, as needed for vehicleapplications.Grid-connected hybrid vehicles are similar <strong>to</strong> thehybrid vehicles sold <strong>to</strong>day, except that the batteriesprovide an all-electric range of about 50 miles, and anexternal source <strong>to</strong> charge the batteries is required.Unlike current hybrid vehicles that use high-powerbatteries <strong>to</strong> supplement the power of gasolineengines, grid-connected hybrid vehicles are alsodesigned <strong>to</strong> operate as all-electric vehicles and, assuch, require a much larger battery pack for energys<strong>to</strong>rage, a larger electric mo<strong>to</strong>r, and related componentsthat enable them <strong>to</strong> function over a much widerrange of driving conditions. Although all-electric drivinggreatly reduces the vehicles’ gasoline consumption,the costs of the battery pack and othercomponents are significant. Marketing studies haveindicated that there is a lack of consumer interest in“plug-in” vehicles but that a limited market wouldexist if their incremental costs relative <strong>to</strong> conventionalvehicles could be reduced <strong>to</strong> at most $5,000.Hydraulic hybrid vehicles use hydraulic and mechanicalcomponents <strong>to</strong> s<strong>to</strong>re and deliver energy. In ahydraulic hybrid, the gear-driven transmission isreplaced by a hydraulic pump/mo<strong>to</strong>r that is also used<strong>to</strong> s<strong>to</strong>re and recoup energy through the transferof fluid between hydraulic accumula<strong>to</strong>rs. Recenthydraulic hybrid pro<strong>to</strong>types are designed <strong>to</strong> providelaunch assist in heavy vehicle applications, allowingacceleration <strong>with</strong> less engine power. The hydraulichybrid system has been shown <strong>to</strong> provide a 50-percentimprovement in fuel economy at a cost of about $600.Current hydraulic systems are large and heavy, however,and the EPA is funding R&D <strong>to</strong> reduce their sizeand weight while improving their efficiency.Oil and Natural Gas SupplyIn the oil and natural gas supply area, new technologiesfor the economical development of unconventionalresources could grow in importance. One of themost plentiful unconventional resources is naturalgas hydrates—ice-like solids composed of light hydrocarbonmolecules, primarily methane, trapped in acage-like crystalline lattice of water and ice.The 1995 National Oil and Gas Resource Assessment,conducted by the USGS and the Minerals ManagementService, produced the first systematic appraisalof in-place natural gas hydrate resources in U.S.onshore and offshore regions [43]. Its mean (expectedvalue) estimate of in-place natural gas hydrates offshorein U.S. deepwater areas was 320,000 trillioncubic feet, and its mean estimate of in-place naturalgas hydrate resources onshore in Alaska’s NorthSlope was 590 trillion cubic feet. In comparison, <strong>to</strong>talU.S. natural gas production in 2003 was 19 trillioncubic feet, and year-end 2003 reserves were 193 trillioncubic feet. According <strong>to</strong> these estimates, ifnatural gas hydrate resources could be developed economically,they could supply U.S. natural gas needsfor many years.Commercial production of natural gas hydrates hasnot yet been attempted. Short-term production tests<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 43


Issues in Focushave been conducted in Canada’s MacKenzie Deltaregion, however, and natural gas hydrates may havebeen produced unintentionally at the MessoyakhaField in Russia’s West Siberian Basin.Commercial production of natural gas hydrates isexpected <strong>to</strong> use one or more of three techniques: pressurereduction, heat injection, and solvent phasechange. The techniques used will depend on the characteristicsof the natural gas hydrate formation beingdeveloped. Each has advantages and disadvantages.The pressure reduction technique has the lowest cost,but it requires a free-gas (non-hydrate) zone belowthe hydrate deposit, and the production rate would belimited by heat transfer rates <strong>with</strong>in the formation.The heat injection technique, using steam or hotwater, does not require a free-gas zone, and it wouldachieve higher production rates than are possible<strong>with</strong> pressure reduction. On the other hand, it is morecomplex and more costly, requiring large amounts ofwater and energy <strong>to</strong> heat it. The solvent phase changetechnology is the most expensive, and it could lead <strong>to</strong>water contamination problems, but it does notrequire energy for water heating and is not subject <strong>to</strong>the formation of ice dams, which can be a problem forthe heat injection technique.In the United States, the existence of large conventionalnatural gas deposits in the Prudhoe Bay andPoint Thomson Fields on Alaska’s North Slope isexpected <strong>to</strong> preclude any significant production fromhydrates on the North Slope for many years <strong>to</strong> come.For example, if the Alaska natural gas pipelinebecame operational in 2015, it would take about 21years (until 2036) <strong>to</strong> deplete the 35 trillion cubic fee<strong>to</strong>f proven North Slope conventional natural gasresources at a pipeline capacity of 4.5 billion cubic feetper day, or 17 years (until 2032) at a pipeline capacityof 5.6 billion cubic feet per day. Moreover, the NorthSlope has a large undiscovered base of conventionalnatural gas resources beyond the volumes estimated<strong>to</strong> be recoverable in currently known fields. Therefore,any significant commercial production of NorthSlope natural gas hydrates could be 30 years or morein<strong>to</strong> the future.Production of oceanic natural gas hydrates is atleast as problematic, because the deposits are not aswell mapped and characterized, and because no productionof oceanic hydrates has yet occurred. Moreover,akin <strong>to</strong> the situation on the Alaska North Slope,there are considerable conventional natural gasdeposits yet <strong>to</strong> be found and developed in the deepwaterGulf of Mexico. Considerable R&D will also berequired before any exploitation of oceanic naturalgas hydrates can be considered. Research on oceanichydrates is almost certain <strong>to</strong> continue, given the vastsize of the potential resource.BiorefineriesRising world oil prices in recent years have heightenedinterest in alternative sources of liquid fuels,including biofuels. Currently, two biologically derivedfuels, biodiesel and ethanol, are used in the UnitedStates <strong>to</strong> augment and improve supplies of gasolineand diesel fuel. As petroleum becomes more scarceand expensive, these and potentially other biofuelscould become important alternatives.Biodiesel. The term biodiesel applies specifically <strong>to</strong>methyl or ethyl esters of vegetable oil or animal fat. Inprinciple, biodiesel can be blended in<strong>to</strong> petroleum dieselfuel or heating oil in any fraction, so long as thefuel system that uses it is constructed of materialsthat are compatible <strong>with</strong> the blend. The actual maximumallowable fraction of biodiesel in diesel fuel variesby engine manufacturer and by specific model line.Fuel system materials are a concern, because methyland ethyl esters are strong solvents that can damagecertain plastics or rubbers.The solvent properties of biodiesel also make itunlikely that biodiesel blends could be shippedthrough petroleum product pipelines. There would bea risk of contamination when the biodiesel dissolvedany material deposited on the walls of pipes, manifolds,or s<strong>to</strong>rage tanks. On the positive side, the additionof biodiesel <strong>to</strong> petroleum diesel reduces engineemissions of carbon monoxide, unburned hydrocarbons,and particulates. On the negative, it tends <strong>to</strong>increase nitrogen oxide emissions, and that may limitthe use of biodiesel in places <strong>with</strong> excess levels ofozone at ground level.The production of methyl esters is an establishedtechnology in the United States, but the product typicallyhas been <strong>to</strong>o expensive <strong>to</strong> be used as fuel.Instead, methyl esters have been used in productssuch as soaps and detergents. Proc<strong>to</strong>r and Gamble,Peter Cremer, Dow Haltermann, and other largefirms currently supply methyl esters <strong>to</strong> the industrialmarket. Most dedicated biodiesel producers are muchsmaller, and delivery of a consistent product is proving<strong>to</strong> be a challenge.Several other processes for making diesel fuel frombiomass are under consideration. The most mature ofthese technologies is biomass-<strong>to</strong>-liquids (BTL). Thebiomass is first reacted <strong>with</strong> steam in the presence ofa catalyst <strong>to</strong> form carbon monoxide and hydrogen, or44 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focussynthesis gas. Any other elements contained in thebiomass are removed during the gasification step.The carbon monoxide and hydrogen are then reacted<strong>to</strong> form liquid hydrocarbons and water.Although BTL products are high in quality, BTLplants face several challenges. They have high capitaland operating costs, and their feeds<strong>to</strong>ck handlingcosts are especially high. BTL gasifiers are significantlymore expensive than the gasifiers used in CTLor GTL facilities. Furthermore, the cost of a BTLplant per barrel of output is several times the cost ofexpanding an existing petroleum refinery or buildinga new one. As a result, while new BTL plants arebeing built in Germany, there is no commercial productionof BTL in the United States. BTL productionand its market implications are discussed under“Nonconventional Liquid Fuels,” below.In another process, vegetable oils and animal fats canbe reacted <strong>with</strong> hydrogen <strong>to</strong> yield hydrocarbons thatblend readily in<strong>to</strong> diesel fuel. The oil or fat is pressurizedand combined in a reac<strong>to</strong>r <strong>with</strong> hydrogen in thepresence of a catalyst similar <strong>to</strong> those used in hydrotreatersat petroleum refineries. The products of theprocess are bioparaffins. Bioparaffin diesel fuel issimilar in quality <strong>to</strong> BTL diesel, <strong>with</strong> the added benefi<strong>to</strong>f being free of byproducts. The improvement inquality over methyl esters (biodiesel) is not free, however.A bioparaffin plant is less expensive than a BTLplant but more expensive than a biodiesel plant,because the bioparaffin reaction takes place underpressure, and a hydrogen plant is needed. Bioparaffinsalso share <strong>with</strong> biodiesel the problem offeeds<strong>to</strong>ck costs. Vegetable oils are expensive, especiallyif they are food grade. The catalyst needed alsoadds significant expense. The world’s first bioparaffinplant is being built at a petroleum refinery in Finland,but there are no plans for U.S. bioparaffin capacity atthis time.Ethanol. Ethanol can be blended in<strong>to</strong> gasoline readilyat up <strong>to</strong> 10 percent by volume. All cars and lighttrucks built for the U.S. market since the late 1970scan run on gasoline containing 10 percent ethanol.Au<strong>to</strong>makers also produce a limited number of vehiclesfor the U.S. market that can run on blends of up<strong>to</strong> 85 percent ethanol. Ethanol adds oxygen <strong>to</strong> the gasoline,which reduces carbon monoxide emissions fromvehicles <strong>with</strong> less sophisticated emissions controls. Italso dilutes sulfur and aromatic contents andimproves octane. Because newer vehicles <strong>with</strong> moresophisticated emissions controls show little or nochange in emissions <strong>with</strong> the addition of oxygen <strong>to</strong>gasoline, ethanol blending in the future will dependlargely on octane requirements, limits on gasolinesulfur and aromatics levels, and mandates for the useof renewable mo<strong>to</strong>r fuels.Ethanol production from starches and sugars, such ascorn, is a well-known technology that continues <strong>to</strong>evolve. In the United States, most fuel ethanol currentlyis distilled from corn, yielding byproducts thatare used as supplements in animal feed. Three fac<strong>to</strong>rsmay limit ethanol production from starchy and sugarycrops: all such crops are also used for food, andonly a limited fraction of the available supply could bediverted for fuel use <strong>with</strong>out driving up crop prices <strong>to</strong>the point where ethanol production would no longerbe economical; there is a limit <strong>to</strong> the amount of suitableland available for growing the feeds<strong>to</strong>ck crops;and only a portion of the plant material from thefeeds<strong>to</strong>ck can be used <strong>to</strong> produce ethanol. For example,corn grain can be used in ethanol plants, but thestalks, husks, and leaves are waste material, onlysome of which needs <strong>to</strong> be left on cornfields <strong>to</strong> preventerosion and replenish soil nutrients.The underutilization of crop residue has drivendecades of research in<strong>to</strong> ethanol production from cellulose;however, several obstacles continue <strong>to</strong> preventcommercialization of the process, including how <strong>to</strong>accelerate the hydrolysis reaction that breaks downcellulose fibers and what <strong>to</strong> do <strong>with</strong> the lignin byproduct.Research on acid hydrolysis and enzymatichydrolysis is ongoing. The favored proposal for dealing<strong>with</strong> the lignin is <strong>to</strong> use it as a fuel for CHP plants,which could provide both thermal energy and electricityfor cellulose ethanol plants, as well as electricityfor the grid; however, CHP plants are expensive.Currently, Canada’s Iogen Corporation is trying <strong>to</strong>commercialize an enzymatic hydrolysis technologyfor ethanol production. The company estimates that aplant <strong>with</strong> ethanol capacity of 50 million gallons peryear and lignin-fired CHP will cost about $300 million<strong>to</strong> build. By comparison, a corn ethanol plant <strong>with</strong> acapacity of 50 million gallons per year could be builtfor about $65 million, and the owners would not bearthe risk associated <strong>with</strong> a new technology. Co-locationof cellulose ethanol plants <strong>with</strong> existing coal-firedelectric power plants could reduce the capital cost ofthe ethanol plants but would also limit sitingpossibilities.Electricity ProductionSome of the electricity generating technologies andfuels represented in NEMS are currently uneconomical,and there are still other fossil, renewable, andnuclear options under development that are not<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 45


Issues in Focusexplicitly represented. Those technologies are notexpected <strong>to</strong> be important throughout most of the projections,but <strong>with</strong> successful development they couldhave impacts in the market in the later years.Fossil FuelsAdvanced Coal Power. FutureGen is a demonstrationproject announced by DOE in February 2003 that willhave 275 megawatts of electricity generation capacityand will also produce hydrogen for other uses. Of theproject’s $1 billion cost, 80 percent will come fromDOE, and 20 percent is expected <strong>to</strong> be providedthrough a consortium of firms from the coal and electricpower industries. The demonstration plant,fueled by coal, will include carbon capture andsequestration equipment <strong>to</strong> limit GHG emissions. Itwill operate in an IGCC configuration and sequesterapproximately 1 million metric <strong>to</strong>ns of CO 2 annually.The sequestered CO 2 will be used <strong>to</strong> enhance oilrecovery in depleted oil fields. SO 2 and mercury emissionsfrom the plant will also be captured.In 2003, it was anticipated that the FutureGen projectwould be operational <strong>with</strong>in 10 years. Site selectionand environmental impact studies are expected<strong>to</strong> be completed in 2007. The site must include geologicalformations that can be used <strong>to</strong> s<strong>to</strong>re at least 90percent of the plant’s CO 2 emissions, <strong>with</strong> an annualleakage rate below 0.01 percent.If the project proves <strong>to</strong> be technically and economicallysuccessful, it could offer a partial solution for thecontinued use of fossil fuels <strong>with</strong>out contributing further<strong>to</strong> rising atmospheric concentrations of GHGs,by injecting CO 2 in<strong>to</strong> depleted oil and gas wells whileadequate space is available. Coal gasification plants<strong>with</strong> carbon capture and sequestration equipmenthave yet <strong>to</strong> be demonstrated, however, and manychallenges remain. The capital costs for IGCC plants<strong>with</strong> carbon capture and sequestration equipment aremuch higher than those for conventional coal-firedplants, and their conversion efficiencies are lower.Moreover, the current conventional solvent-basedabsorption process for carbon capture remains energyintensive.Advanced Fuel Cells. Fuel cells operate similarly <strong>to</strong>batteries but do not lose their charge. Instead, theyrely on a supply of hydrogen, which is broken in<strong>to</strong> freepro<strong>to</strong>ns and electrons <strong>with</strong>in the cell. There are severaltypes of fuel cells, using different materials andoperating at different temperatures. Stationarypower fuel cells can be connected <strong>to</strong> the electricitygrid, and smaller cells are envisioned for the transportationsec<strong>to</strong>r. Although the costs of fuel cells havebeen reduced since their inception, they currentlyremain <strong>to</strong>o high for widespread market penetration.Phosphoric acid fuel cells, which operate at relativelylow temperatures, are currently being used in severalapplications <strong>with</strong> efficiency rates of 37 <strong>to</strong> 42 percent.An advantage of this cell type is that relatively impurehydrogen is <strong>to</strong>lerated, broadening the source ofpotential fuels. The major disadvantage is the highcost of the platinum catalyst.Molten carbonate fuel cells, which use nickel in placeof more costly metals, can achieve a 50-percent efficiencyrate and are operating experimentally aspower plants. Solid oxide fuel cells, also currentlybeing developed, use ceramic materials, operate atrelatively high temperatures, and can achieve similarefficiencies of around 50 percent. They have applicationsin the electric power sec<strong>to</strong>r, providing exhaust<strong>to</strong> turn gas turbines, and could also have future usesin the transportation sec<strong>to</strong>r.The costs of fuel cells must be reduced significantlybefore they can become competitive in U.S. markets,and an inexpensive, plentiful source of hydrogen fuelmust also be found. If those hurdles can be met, fuelcells offer several advantages over current generationtechnologies: they are small, quiet, and clean, andbecause no combustion is involved, their only byproductis water.Carbon Capture <strong>with</strong> SequestrationCapturing CO 2 from the combustion of fossil fuelsmay allow for their continued use <strong>with</strong>out significantadditional contributions <strong>to</strong> GHG emissions andglobal warming. Currently, however, sequestrationtechnologies are <strong>to</strong>o costly for implementation on asignificant scale. One of the greatest challenges is separationof CO 2 from other emissions, given typicalCO 2 concentrations of 3 <strong>to</strong> 12 percent in the smokestackgases of coal-fired power plants.One potential solution for capturing CO 2 is the use ofamine scrubbers. Amines react <strong>with</strong> CO 2 , and theresulting product can be heated and separated in adesorber. Another option is the IGCC process <strong>to</strong> beused in FutureGen, which will produce highly concentratedCO 2 ready for s<strong>to</strong>rage.Carbon s<strong>to</strong>rage will most likely be underground. Forexample, enhanced oil recovery technologies pumpCO 2 in<strong>to</strong> depleted oil and natural gas fields <strong>to</strong> extendtheir yields and lifetimes. Other options includeplacing the CO 2 in coalbeds and saline formations.Ocean s<strong>to</strong>rage is a possibility, although the potential46 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusenvironmental impacts are unknown. Preliminarygeological studies have shown that underground s<strong>to</strong>rage,if successful, has the potential <strong>to</strong> s<strong>to</strong>re all the CO 2from industrial and power sec<strong>to</strong>r emissions for severaldecades. Major issues include the proximity ofthe geologic s<strong>to</strong>rage formations <strong>to</strong> potential CO 2 productionsites, the long-term permanence of the s<strong>to</strong>ragesites, and the development of the moni<strong>to</strong>ringsystems needed <strong>to</strong> ensure that leakage is limited andcontrolled.In 2005, DOE announced the second phase of sevenpartnerships involving small, field-level demonstrations<strong>to</strong> determine the feasibility of carbon sequestrationtechnologies. In one project, ConocoPhillips,Shell, and Scottish and Southern <strong>Energy</strong> will begindesigning the world’s first industrial-scale facility <strong>to</strong>generate “carbon-free electricity” from hydrogen.The planned project will convert natural gas <strong>to</strong> hydrogenand CO 2 , then use the hydrogen gas as fuel for a350-megawatt power station, reducing the amount ofCO 2 emitted <strong>to</strong> the atmosphere by 90 percent. TheCO 2 will be exported <strong>to</strong> a North Sea oil reservoir forincreased oil recovery and eventual s<strong>to</strong>rage. Smallerdemonstration projects are already operating in Algeriaand Norway.RenewablesIn the face of international concern over GHG emissions,the eventual peaking of world oil production,and recent volatility in fossil fuel prices, many haveseen promise in exploiting an ever-increasing rangeof renewable energy resources. Renewable energyresources used <strong>to</strong> generate electricity generally reducenet GHG emissions compared <strong>to</strong> fossil generation,are accepted as being nondepletable on a timescale of interest <strong>to</strong> society, and tend <strong>to</strong> have low andstable operating costs.To date, however, market adoption of most renewabletechnologies has been limited by the significant capitalexpense of capturing and concentrating theoften diffuse energy fluxes of wind, solar, ocean,and other renewable resources. With the most successfulrenewable generation technology, hydropower,nature has largely concentrated the diffuseenergy of falling water through the geography ofwatersheds. The challenge for emerging technologies,as well as those on the horizon, will be <strong>to</strong> minimizeboth the monetary and environmental costs of collectingand converting renewable energy fuels <strong>to</strong> moreportable and useful forms.Wind. Through a combination of significant costreductions over the past 20 years and policy supportin the United States, Europe, and elsewhere, electricitygeneration from wind energy has increasedsubstantially over the past 5 <strong>to</strong> 10 years. In fact, insome areas of Western Europe, viable new sites forwind are seen as severely limited, because the bestsites already are being exploited, leaving sites <strong>with</strong>poor resources, <strong>to</strong>o close <strong>to</strong> populated areas, and/or inotherwise undesirable locations. In response, a numberof European countries have begun <strong>to</strong> build windplants offshore, where they are more remote frompopulation centers and can take advantage of betterresources. Although firm data on costs has beenscarce, it is believed that offshore wind plants costsubstantially more <strong>to</strong> construct, <strong>to</strong> transmit power,and <strong>to</strong> maintain than comparable onshore windplants.There have been a number of proposals for offshorewind plants in the United States, including at leasttwo under serious consideration for near-term development,off Cape Cod, Massachusetts, and LongIsland, New York. The United States has substantiallylarger and better wind resources than mostcountries of Europe, and thus is unlikely <strong>to</strong> see itsonshore resources exhausted in the mid-term outlook.Still, localized fac<strong>to</strong>rs such as State renewableenergy requirements and constraints on electricitytransmission from conventional power plants in<strong>to</strong>coastal areas may make some offshore resources economicallyattractive, despite the abundance of lowercost wind resources further inland. Because NEMSmodels 13 relatively large electricity markets, it cannotfully account for localized effects at the State ormetropolitan level, and thus is likely <strong>to</strong> miss the feweconomical opportunities for offshore development ofwind-powered genera<strong>to</strong>rs.Hydropower. In addition <strong>to</strong> ocean-based wind powertechnologies, there are a number of technologies thatcould harness energy directly from ocean waters.They include wave energy technologies (which indirectlyharness wind energy, in that ocean waves usuallyare driven by surface winds), tidal energytechnologies, “in-stream” hydropower, and oceanthermal energy technologies.Although a number of wave energy technologies areunder development, including some that may be nearpre-commercial demonstration, the publicly availabledata on resource quantity, quality, and distributionand on technology cost and performance are inadequate<strong>to</strong> describe the specifics of the technologies. Ahandful of tidal power stations around the world dooperate on a commercial basis, but prime tidalresources are limited, and the technology seems<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 47


Issues in Focusunlikely <strong>to</strong> achieve substantial market penetrationunless more marginal resources can be harnessedeconomically.In-stream hydropower technologies generally usefreestanding or tethered hydraulic turbines <strong>to</strong> capturethe kinetic energy of river, ocean, or tidal currents<strong>with</strong>out dams or diversions. As <strong>with</strong> waveenergy technologies, while some of these technologiesappear <strong>to</strong> be in fairly advanced pre-commercial development,there is insufficient available information <strong>to</strong>support reasonable market assessment <strong>with</strong>in theNEMS framework.Ocean thermal technologies harness energy fromtemperature differentials between surface waters andwaters at depth. These technologies have receivedfunding from the Federal Government in the past,and U.S. development continues <strong>to</strong>day under fullyprivate funding. To date, however, there have been nonew pre-commercial demonstrations beyond thosepreviously funded by the Federal Government.Resources suitable for ocean thermal energy developmentare geographically limited <strong>to</strong> tropical or neartropicalwaters near land, <strong>with</strong> a relatively steep continentalshelf. (Although a fully offshore deepwatertechnology is plausible, it would be significantly moreexpensive than a shore-based implementation.)These requirements eliminate virtually the entirecontinental United States as a potential resourcebase, and the technology is not included in AEO<strong>2006</strong>.Geothermal. Although U.S. geothermal resourceshave been exploited for decades <strong>to</strong> produce electricity,commercial development <strong>to</strong> date has been limited <strong>to</strong>hydrothermal deposits at relatively shallow depths.In hydrothermal deposits, hot rock close <strong>to</strong> the surfaceheats naturally occurring groundwater, which isextracted at relatively low cost <strong>to</strong> drive a conventionalgenera<strong>to</strong>r. Steam may be used directly from theground, or superheated water may be used <strong>to</strong> heat asecondary working fluid that drives the turbine. Suitablehydrothermal deposits, however, are limited inquantity and location, and in most cases they wouldbe <strong>to</strong>o expensive for development in the mid-term.Enhanced geothermal technologies <strong>to</strong> exploit deeper,drier resources are not likely <strong>to</strong> be cost-effective forwidespread commercial deployment until well after<strong>2030</strong>.Solar. Sunlight is a renewable resource that is almostuniversally available. NEMS models several differenttechnologies for harnessing solar energy, includingPV cells deployed at end-user locations, PV deployedat central, utility-owned locations, and thermalconversion of sunlight <strong>to</strong> electricity. Each is basedon commercially available technologies, <strong>with</strong> substantialallowances made for future improvements incost and performance. In view of the significant contributionof government-funded R&D <strong>to</strong> the progressof solar energy technologies, much of the futureimprovements occur independently from actual marketgrowth (although significant market growth isprojected).Research is continuing on a number of solar technologies—bothdirect conversion and thermal conversion—thatcould substantially improve the efficiencyor reduce the cost of producing electricity fromsunlight. Examples include <strong>org</strong>anic PV, highlyconcentrated PV, “solar chimneys,” and a range ofimprovements <strong>to</strong> PV efficiency and manufacturing.Given the wide variety of potential technologiesand uncertainty as <strong>to</strong> the success of any particularone, solar technology is modeled from the knowncost and performance parameters of commercialtechnologies, along <strong>with</strong> both production-based andproduction-independent improvements in cost andperformance.HydrogenWidespread use of hydrogen as an energy carrier hasbeen presented by some as a long-term solution <strong>to</strong> thelimitations of our largely fossil-energy based economy.Significant quantities of molecular hydrogen(H 2 ) are not found in nature but must be releasedfrom water, hydrocarbons, or other “chemical reservoirs”of hydrogen. Thus, hydrogen is an energy carrier,in much the same way that electricity is anenergy carrier, rather than a primary source ofenergy. Hydrogen has a wide variety of potential enduses, including the production of electricity; buthydrogen production based on fossil fuels (primarilythrough methane steam reforming or other thermochemicalprocesses), currently the least costly meansof production, would at best provide only limitedrelief from the use of fossil fuels (by increasing theefficiency of energy end uses) and potentially couldlead <strong>to</strong> more use of fossil fuels (by reducing overall“wells-<strong>to</strong>-wheels” system efficiency).Hydrogen could also be produced from non-fossilfuels, including nuclear and renewable resources,either through electrolysis of water or by directthermochemical conversion. Significant use of hydrogenwould likely evolve as a system, <strong>with</strong> developmentand deployment of technologies for production, distribution,and end use closely linked. Many technologiesfor producing hydrogen are commerciallyavailable <strong>to</strong>day, but they are expensive. Without significanttechnological progress, it seems unlikely that48 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focussubstantial incremental amounts of hydrogen will beproduced before <strong>2030</strong>.NuclearThe nuclear cost assumptions for AEO<strong>2006</strong> are basedon the realized costs of advanced nuclear powerplants whose designs have been certified by the U.S.Nuclear Regula<strong>to</strong>ry Commission (NRC) and/or havebeen built somewhere in the world—specifically, thegeneration 3 light-water reac<strong>to</strong>rs (LWRs). To accountfor technological improvements, it is assumed thatcosts will fall, <strong>with</strong> cost reductions reflecting incrementalimprovements in the designs of reac<strong>to</strong>rs asthey evolve from the generation 3 <strong>to</strong> generation 3+.Recently, some vendors have reported cost estimatesfor generation 3+ reac<strong>to</strong>rs that are much lower thanthose assumed in NEMS, even after allowing for costreductions; however, their estimates were based onincomplete designs, and his<strong>to</strong>ry has shown that costestimates based on incomplete designs tend <strong>to</strong> beunreliable [44]. For AEO<strong>2006</strong>, the vendor estimatesare used in a sensitivity analysis.Although the nuclear capital cost assumptions usedin both the reference case and the sensitivity analysisare representative of the costs of building LWRswhose designs reflect incremental improvementsover those that have been built in the Far East or arebeing built in Europe, a number of small-scale andlarge-scale LWR designs that differ significantly fromgeneration 3 plants could be commercially availableby <strong>2030</strong> [45]. Because of technical and economicuncertainties, however, they are not included inAEO<strong>2006</strong>.A number of non-LWR designs for nuclear powerplants have also been suggested, including variantson the traditional fast breeder technology, such aslead-cooled and sodium-cooled reac<strong>to</strong>rs. Thesedesigns are often referred <strong>to</strong> as “generation 4”nuclear power plants. The technologies have all theadvantages and disadvantages of the traditionalbreeder reac<strong>to</strong>rs that have been built in Europe andthe Far East, and because of their large size theywould be more economically advantageous in regulatedelectricity markets, where financial risks arenot borne entirely by inves<strong>to</strong>rs.Examples of the small, modular power plant designsinclude the Pebble Bed Modular Reac<strong>to</strong>r (PBMR), theGas-Turbine Modular Helium (GT-MH) reac<strong>to</strong>r andthe International Reac<strong>to</strong>r Innovative and Secure(IRIS) reac<strong>to</strong>r. In theory at least, these plants mightbe built in competitive markets where it is economicallyadvantageous <strong>to</strong> add small amounts of capacityin response <strong>to</strong> volatile and uncertain electricity prices[46].The PBMR and the GT-MH reac<strong>to</strong>r are also designed<strong>to</strong> operate at much higher temperatures than theLWRs currently in operation. Thus, both of thesedesigns could potentially be used <strong>to</strong> produce both electricityand hydrogen. In fact, EPACT2005 authorizes$1.25 billion <strong>to</strong> build a pro<strong>to</strong>type of such a reac<strong>to</strong>rthat could be used <strong>to</strong> cogenerate electricity and hydrogen.The law specifies that a pro<strong>to</strong>type reac<strong>to</strong>r shouldbe completed by 2021. The economic potential of sucha reac<strong>to</strong>r is considerable, in that the hydrogen couldbe used in fuel cells or in other industrial processes;however, the technological uncertainties involved aresubstantial.Advanced Technologies for Light-DutyVehiclesA fundamental concern in projecting the futureattributes of light-duty vehicles—passenger cars,sport utility vehicles, pickup trucks, and minivans—is how <strong>to</strong> represent technological change and the marketforces that drive it. There is always considerableuncertainty about the evolution of existing technologies,what new technologies might emerge, and howconsumer preferences might influence the directionof change. Most of the new and emerging technologiesexpected <strong>to</strong> affect the performance and fuel use oflight-duty vehicles over the next 25 years are representedin NEMS; however, the potential emergence ofnew, unforeseen technologies makes it impossible <strong>to</strong>address all the technology options that could comein<strong>to</strong> play. The previous section of “Issues in Focus”discussed several potential technologies that currentlyare not represented in NEMS. This section discussessome of the key technologies represented inNEMS that are expected <strong>to</strong> be implemented inlight-duty vehicles over the next 25 years.The NEMS Transportation Module represents technologiesfor light-duty vehicles that allow them <strong>to</strong>comply <strong>with</strong> current standards for safety, emissions,and fuel economy or may improve their efficiencyand/or performance, based on expected consumerdemand for those attributes. Technologies that canimprove vehicle efficiency take two forms: those thatrepresent incremental improvements <strong>to</strong> or advancementsin the various components of conventionalpower trains, and those that represent significantchanges in power train design. Advanced technologiesused in vehicles <strong>with</strong> new power train designsinclude, primarily, electric power propulsion systemsin hybrid, fuel cell, and battery-powered vehicles.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 49


Issues in FocusHis<strong>to</strong>rically, the development of new technologies forlight-duty vehicles has been driven by the challenge ofmeeting increased demand for larger, quieter, morepowerful vehicles while complying <strong>with</strong> emissions,safety, and fuel economy standards. The au<strong>to</strong> industryhas met those challenges and, through technologicalinnovation, delivered larger, more powerfulvehicles <strong>with</strong> improved fuel economy.In 1980, the average new car weighed 3,101 pounds,had 100 horsepower, and averaged 24.3 miles per gallon.In 2004, the average new car weighed 3,454pounds (an 11-percent increase), had 181 horsepower(an 81-percent increase), and averaged 29.3 miles pergallon (a 21-percent increase). Improvements in newlight trucks (including sport utility vehicles) from1980 <strong>to</strong> 2004 have been even more profound: theiraverage weight has increased by 20 percent <strong>to</strong> 4,649pounds, their horsepower has increased by 91 percent<strong>to</strong> 231, and their average fuel economy has increasedby 16 percent <strong>to</strong> 21.5 miles per gallon [47].The majority of improvements in horsepower and fueleconomy for new light-duty vehicles have resultedfrom changes in conventional vehicle components,including fuel delivery systems, valve train design,aerodynamics, and transmissions. In 1980, almost allnew light-duty vehicles employed carbure<strong>to</strong>rs for fueldelivery; in 2004, all new light-duty vehicles used portfuel injection systems, which improve engine efficiencythrough very precise electronic control of fueldelivery. Advances have also been made in valve traindesign, improving efficiency by reducing enginepumping losses. In 1980, all engine designs used twovalves per cylinder; in 2004, engines <strong>with</strong> four valvesper cylinder were installed in 74 percent of new carsand 43 percent of new light trucks.Increases in light-duty vehicle horsepower and fueleconomy are projected <strong>to</strong> continue in the AEO<strong>2006</strong>cases at rates similar <strong>to</strong> their his<strong>to</strong>rical rates, whilevehicle weight remains relatively constant. For example,between 2005 and <strong>2030</strong> new car horsepowerincreases by 19 percent, <strong>to</strong> 215, in the reference case,while fuel economy increases by 15 percent <strong>to</strong> 33.8miles per gallon; and the horsepower of new lighttrucks increases by 14 percent, <strong>to</strong> 264, and fuel economyincreases by 23 percent <strong>to</strong> 26.4 miles per gallon,while their weight increases by 4 percent <strong>to</strong> 4,828pounds. Most of the improvements result from innovationsin conventional vehicle components.To project potential improvement in new light-dutyvehicle fuel economy, 63 conventional technologiesare represented in the Transportation Module. Thetechnologies are grouped in<strong>to</strong> six vehicle system categories:engine, transmission, accessory load, body,drive train, and independent (related <strong>to</strong> safety andemissions). Table 13 summarizes the technologiesexpected <strong>to</strong> have significant impacts over the projectionperiod, the expected range of efficiency improvements,and initial costs.Engineering relationships among the technologiesare also modeled in the Transportation Module.The engineering relationships account for: (1)co-relationships, where the existence of one technologyis required for the existence of another; (2) synergisticeffects, reflecting the combined efficiencyimpact of two or more technologies; (3) supersedingrelationships, which remove replaced technologies;and (4) manda<strong>to</strong>ry technologies, needed <strong>to</strong> meetsafety and emissions regulations. In addition <strong>to</strong> theengineering relationships, reductions in technologycost are captured as unit production increases orcumulative production reaches a design cyclethreshold.Technologies expected <strong>to</strong> show the greatest increasein market penetration, and thus the greatest impac<strong>to</strong>n new car and light truck efficiency, include lightweightmaterials, improved aerodynamics, enginefriction reduction, improved pumps, and low rollingresistance tires (Figures 17 and 18). These technologiesrepresent the most cost-effective options forimproving fuel economy while meeting consumerexpectations for vehicle performance and comfort.The weight of new cars remains relatively constant asa result of increased market penetration of highstrengthlow-alloy steel (63 percent by <strong>2030</strong>), aluminumcastings (24 percent by <strong>2030</strong>), and aluminumbodies and closures (12 percent by <strong>2030</strong>). Variablevalve timing and lift and camless valve actuation arealso expected <strong>to</strong> have a significant impact on new carefficiency, <strong>with</strong> installations increasing <strong>to</strong> approximately30 percent and 4 percent, respectively, in<strong>2030</strong>. The use of unit body construction in new lighttrucks increases from 23 percent in 2004 <strong>to</strong> 36 percentin <strong>2030</strong> as more sport utility vehicles and pickuptrucks are developed from car-based platforms.The efficiency of new light-duty vehicles also improves<strong>with</strong> increased market penetration of hybridand diesel vehicles. Depending on the make andmodel, the incremental cost of a power-assistedhybrid vehicle (a “full hybrid”), currently estimatedat $3,000 <strong>to</strong> $10,000, decreases <strong>to</strong> between $1,500 and$5,400 in <strong>2030</strong> [48]. As a result, the penetration ofhybrid vehicles increases from 0.5 percent of newlight-duty vehicle sales in 2004 <strong>to</strong> 9.0 percent in <strong>2030</strong>.50 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in FocusMarket penetration of diesel vehicles increases fromabout 2 percent in 2004 <strong>to</strong> more than 8 percent in<strong>2030</strong>. Battery and fuel cell powered vehicles also penetratethe light-duty vehicle market as a result of legislativemandates, but <strong>with</strong> very high vehicle costs,limited driving range, and the lack of a refuelinginfrastructure, they account for only 0.1 percent ofnew vehicle sales in <strong>2030</strong>.Nonconventional Liquid FuelsHigher prices for crude oil and refined petroleumproducts are opening the door for nonconventionalliquids <strong>to</strong> displace petroleum in the traditional fuelsupply mix. Growing world demand for diesel fuel ishelping <strong>to</strong> jump-start the trend <strong>to</strong>ward increasingproduction of nonconventional liquids, and technologicaladvances are making the nonconventionalTable 13. Technologies expected <strong>to</strong> have significant impacts on new light-duty vehiclesVehicle componentand technologyEngineAdvanced valve trainFriction reductionCylinder deactivationTechnology descriptionFour valves per cylinder; variable valve timing and lift; camlessvalve actuationLow-mass pis<strong>to</strong>ns and valves; reduced pis<strong>to</strong>n ring and valvespring tension; improved surface coatings and <strong>to</strong>lerancesReduced cylinder operation at light load, lowering displacementand reducing pumping lossesExpected efficiencyimprovement(percent)Initial incrementalcost (2000 dollars)2.5-8.0 45-7502.0-6.5 25-1774.5 250Lean burn Direct injection fuel system, enabling very lean air-fuel ratios 5.0 250TransmissionControl systemTransmissionElectronic controls, improving efficiency through shift logic and<strong>to</strong>rque converter lockup5-speed and 6-speed au<strong>to</strong>matics; continuously variabletransmissions0.5-2.0 8-606.5-10.0 435-615Accessory loadImproved pumps Reduced engine load from oil, water, and power steering pumps 0.3-0.5 10-15Electric pumps Electrically powered pumps, replacing mechanical pumps 1.0-2.0 50-150BodyImproved materialsHigh-strength alloy steel; aluminum castings; lightweightinteriors; aluminum body and closures3.3-13.2 0.4-1.2 dollars per poundof vehicle weight reductionUnit body construction Elimination of body-on-chassis structure 4.0 100Improved aerodynamics Reduction in drag coefficient, <strong>with</strong> improvements specific <strong>to</strong>2.3-8.0 40-225body typeDrive trainAdvanced tires Reduced rolling resistance 2.0-6.0 30-135Improved 4-wheel drive Reduced weight; improved electronic controls 2.0 100IndependentSafety and emissions Improved safety and emission systems -3.0 200Figure 17. Market penetration of advancedtechnologies in new cars, 2004 and <strong>2030</strong>(percent of <strong>to</strong>tal new cars sold)Advanced transmissionsLightweight materialsImproved aerodynamicsUnit body construction4-wheel drive improvementsEngine friction reductionImproved pumpsLow rolling resistance tires2004<strong>2030</strong>0 20 40 60 80 100Figure 18. Market penetration of advancedtechnologies in new light trucks, 2004 and <strong>2030</strong>(percent of <strong>to</strong>tal new light trucks sold)Advanced transmissionsLightweight materialsImproved aerodynamicsUnit body construction4-wheel drive improvementsEngine friction reductionImproved pumpsLow rolling resistance tires2004<strong>2030</strong>0 20 40 60 80 100<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 51


Issues in Focusalternatives more viable commercially. Those trendsare reflected in the AEO<strong>2006</strong> projections.In the reference case, based on projections for theUnited States and project announcements coveringother world regions through <strong>2030</strong>, the supply ofsyncrude, synthetic fuels, and liquids produced fromrenewable fuels approaches 10 million barrels perday worldwide in <strong>2030</strong>. In the high price case, nonconventionalliquids represent 16 percent of <strong>to</strong>talworld oil supply in <strong>2030</strong>, at more than 16.4 millionbarrels per day. The U.S. share of world nonconventionalliquids production in <strong>2030</strong> is 15 percentin the reference case and nearly 20 percent in the highprice case (Table 14).The term “nonconventional liquids” applies <strong>to</strong> threedifferent product types: syncrude derived from thebitumen in oil sands, from extra-heavy oil, or from oilshales; synthetic fuels created from coal, natural gas,or biomass feeds<strong>to</strong>cks; and renewable fuels—primarily,ethanol and biodiesel—produced from a variety ofrenewable feeds<strong>to</strong>cks. Generally, these resources areeconomically competitive only when oil prices reachrelatively high levels.Synthetic Crude OilsAt present, two nonconventional oil resources—bitumens(oil sands) and extra-heavy crude oils—areactively being developed and produced. With technologyinnovations ongoing and production costs decliningsteadily, their production increases in theAEO<strong>2006</strong> projections, provided that the world oilprice remains above $30 per barrel. Development of athird nonconventional resource, shale oil, is morespeculative. The greatest risks facing syncrude productionare higher production costs and lower crudeoil prices. In AEO<strong>2006</strong>, production of syncrude worldwideincreases <strong>to</strong> 5.3 million barrels per day in the referencecase and 8.5 million barrels per day in the highprice case in <strong>2030</strong>.Oil sands. Bitumen, the “oil” in oil sands, is composedof carbon-rich, hydrogen-poor long-chain molecules.Its API gravity is less than 10, and its viscosity is sohigh that it does not flow in a reservoir. It can containundesirable quantities of nitrogen, sulfur, and heavymetals.The percentage of bitumen in oil sands depositsranges from 1 <strong>to</strong> 20 percent [49]. After the bitumen isextracted from the sand matrix, various processes,including coking, distillation, catalytic conversion,and hydrotreating, must be applied <strong>to</strong> createsyncrude. On average, about 1.16 barrels of bitumenis required <strong>to</strong> produce 1 barrel of syncrude. Canada’sresource of 2.5 trillion barrels of in-place bitumen isestimated <strong>to</strong> be 81 percent of the world <strong>to</strong>tal [50]. Economicallyrecoverable deposits in Canada amount <strong>to</strong>about 315 billion barrels of bitumen under currenteconomic and technological conditions [51], and in2004 Canada shipped more than 87 million barrels oflight, sweet syncrude [52]. If fully developed, the bitumenresources in Canada could supply more than 40years of U.S. oil consumption at current demandlevels.Currently, there are two methods for extracting bitumenfrom oil sands: open-pit mining and in situ recovery.For deposits near the surface, open-pit mining isused <strong>to</strong> extract the bitumen by physically separatingit from the sand and clay matrix, at recovery ratesapproaching 95 percent. For deposits deeper than 225feet, the in situ process is used. Two wells are drilled,one of which is used <strong>to</strong> inject steam in<strong>to</strong> the deposit <strong>to</strong>heat the sand and lower the viscosity of the bitumenand the other <strong>to</strong> collect the flowing bitumen and bringit <strong>to</strong> the surface. Addition of gas condensate, lightcrude, or natural gas can also reduce viscosity andallow the bitumen <strong>to</strong> flow. Much of <strong>to</strong>day’s productioncomes from open-pit mining operations; however, 80percent of the Canadian oil sands reserves are <strong>to</strong>odeep for open-pit mining.Table 14. Nonconventional liquid fuels production in the AEO<strong>2006</strong> reference and high price cases, <strong>2030</strong>(million barrels per day)Synthetic crude oils Synthetic fuels Renewable fuelsTotal production Oil sands Extra-heavy oil Shale oil CTL GTL BTL Biodiesel Ethanol TotalReference caseUnited States — — — 0.8 — — 0.02 0.7 1.5World 2.9 2.3 0.05 1.8 1.1 — — 1.7 a 9.9High price caseUnited States — — 0.4 1.7 0.2 — 0.03 0.9 3.2World 4.9 3.1 0.5 2.3 2.6 — — 3.0 a 16.4a Includes biodiesel.52 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in FocusAccording <strong>to</strong> most analysts, oil sands syncrude productionis economically viable, covering fixed andvariable costs, only when syncrude prices exceed $30per barrel. The variable costs of producing syncrudehave declined <strong>to</strong> around $5 per barrel <strong>to</strong>day, fromestimates of $10 per barrel in the late 1990s and $22per barrel in the 1980s.Syncrude tends <strong>to</strong> yield poor quality distillate andgas-oil products owing <strong>to</strong> its low hydrogen content.Refineries processing oil sands syncrude need moresophisticated conversion capacity including catalyticcracking, hydrocracking, and coking <strong>to</strong> create higherquality fuels suitable for transportation markets.Extra-heavy oil. Extra-heavy oil is crude oil <strong>with</strong> APIgravity less than 10 and viscosity greater than 10,000centipoise. Unlike bitumen, extra-heavy oil will flowin reservoirs, albeit much more slowly than ordinarycrude oils. Extra-heavy oil deposits are located in atleast 30 countries. One singularly large deposit, representingthe majority of the known extra-heavy oilresource is located in the Orinoco oil belt of easternVenezuela. Petroleos de Venezuela SA (PDVSA) estimatesthat 1.36 trillion barrels of extra-heavy oil arein place in the Orinoco belt, <strong>with</strong> an estimated 270 billionbarrels of currently recoverable reserves.There are three main recovery methods: cyclicsteam injection/steam flood; diluents and gas lift;and steam-assisted gravity drainage (SAGD) usingstacked horizontal wells. Other methods substituteCO 2 for natural gas injection or solvents for steaminjection. The Orinoco projects currently use a twostepupgrading process, partially upgrading the bitumenin the field, followed by deep conversion refiningin the importing country.Extra-heavy oil recovery rates currently range from 5<strong>to</strong> 10 percent of oil in place, although R&D efforts aresteadily and significantly improving the performance.Lifting and processing costs range from $8 <strong>to</strong> $11 perbarrel (2004 dollars) [53]. According <strong>to</strong> the latestPDVSA filings <strong>with</strong> the U.S. Securities and ExchangeCommission, production of extra-heavy crude oilfrom the Orinoco area <strong>to</strong>taled 430,000 barrels per dayin 2003 [54].It is not clear that PDVSA can continue <strong>to</strong> provide themassive capital investment necessary <strong>to</strong> sustain thegrowth of its extra-heavy oil production in the future.Relationships <strong>with</strong> possible foreign inves<strong>to</strong>rs havebeen strained due <strong>to</strong> actions by the Venezuelan government<strong>to</strong> renegotiate existing contracts and <strong>to</strong>structure new ones so as <strong>to</strong> sharply reduce potentialreturns <strong>to</strong> inves<strong>to</strong>rs. In addition, the recent deteriorationof political relations between Venezuela and theUnited States could limit the market for Orinocoproducedextra-heavy crude oils.Shale oil. The term “oil shale” is something of a misnomer.First, the rock involved is not a shale; it is acalcareous muds<strong>to</strong>ne known as marls<strong>to</strong>ne. Second,the marls<strong>to</strong>ne does not contain crude oil but insteadcontains an <strong>org</strong>anic material, kerogen, that is a primitiveprecursor of crude oil. When oil shale is heated atmoderate <strong>to</strong> high temperatures for a sufficient periodof time, kerogen can be cracked <strong>to</strong> smaller <strong>org</strong>anicmolecules like those typically found in crude oils andthen converted <strong>to</strong> a vapor phase that can be separatedby boiling point and processed in<strong>to</strong> a variety of liquidfuels in a distillation process. The synthetic liquid distilledfrom oil shale is commonly known as shale oil.Oil shale has also been burned directly as a solid fuel,like coal, for electricity generation.The global resource of oil shale base is huge—estimatedat a minimum of 2.9 trillion barrels of recoverableoil [55], including 750 billion barrels in theUnited States, mostly in Utah, Wyoming, and Colorado[56]. Deposits that yield greater than 25 gallonsper <strong>to</strong>n are the most likely <strong>to</strong> be economically viable[57]. Based on an estimated yield of 25 gallons ofsyncrude from 1 <strong>to</strong>n of oil shale, the U.S. resource, iffully developed, could supply more than 100 years ofU.S. oil consumption at current demand levels.There are two principal methods for oil shale extraction:underground mining and in situ recovery.Underground mining, followed by surface re<strong>to</strong>rting,is the primary approach used by petroleum companiesin demonstration plants built in the mid <strong>to</strong> late1970s. In this approach, oil shale is mined from theground and then transferred <strong>to</strong> a processing facility,where the kerogen is heated in a re<strong>to</strong>rt (a large, cylindricalfurnace) <strong>to</strong> around 900 degrees Fahrenheit andenriched <strong>with</strong> hydrogen <strong>to</strong> release hydrocarbonvapors that are then condensed <strong>to</strong> a liquid. There issome risk that, despite its apparent promise, theunderground mining/surface re<strong>to</strong>rting technologyultimately will not be viable, because of its potentiallyadverse environmental impacts associated <strong>with</strong> wasterock disposal and the large volumes of water requiredfor remediation of waste disposal piles.A comprehensive in situ process is currently underexperimental development by Shell Oil [58]. Shalerock is heated <strong>to</strong> 650-750 degrees Fahrenheit, causingwater in the shale <strong>to</strong> turn in<strong>to</strong> steam that “microfractures”the formation. The in situ process generatesa greater yield from a smaller land surface area ata lower cost than open-pit mining. The technology<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 53


Issues in Focusalso avoids several adverse issues connected <strong>to</strong> miningand waste rock remediation, minimizes waterusage, and has the potential <strong>to</strong> recover at least 10times more oil per acre than the conventional surfacemining and re<strong>to</strong>rting process; however, it could takeas long as 15 years <strong>to</strong> demonstrate the commercialviability of the Shell in situ process.For a conventional mining and re<strong>to</strong>rting process, $55<strong>to</strong> $70 per barrel (2004 dollars) is the estimatedbreakeven price. That estimate is based in part ontechnical literature from the late 1970s and early1980s, however, and thus may no longer be relevant<strong>to</strong>day. The older estimates are likely <strong>to</strong> understatethe cost of waste rock remediation. Advances inequipment technology over the years could increaseoperating efficiencies and reduce costs. A 1 millionbarrel per day shale oil industry based on undergroundmining/surface re<strong>to</strong>rting would require miningand remediation of more than 500 million <strong>to</strong>ns ofoil shale rock per year—about one-half of the annual<strong>to</strong>nnage of domestic coal production. The processwould also consume approximately 3 million barrelsof water per day [59].A 2005 industry study prepared for the National<strong>Energy</strong> Technology Labora<strong>to</strong>ry estimates that crudeoil prices (WTI basis) would need <strong>to</strong> be in the range of$70 <strong>to</strong> $95 per barrel for a first-of-kind shale oil operation<strong>to</strong> be profitable [60] but could drop <strong>to</strong> between$35 and $48 per barrel <strong>with</strong>in a dozen years as aresult of experience-based learning (“learning-bydoing”).In the AEO<strong>2006</strong> high price case, assumingthe use of underground mining <strong>with</strong> surface re<strong>to</strong>rting,U.S. oil shale production begins in 2019 andgrows <strong>to</strong> 410,000 barrels per day in <strong>2030</strong>.which in turn is hydrocracked <strong>to</strong> producehydrocarbons of various chain lengths. End productsare determined by catalyst selectivity and reactionconditions, and product yields are adjustable <strong>with</strong>inranges, depending on reaction severity and catalystselection. Potential products include naphtha, kerosene,diesel, methanol, dimethyl ether, alcohols, wax,and lube oil s<strong>to</strong>ck. A product workup section separatesthe liquids and completes the transformationin<strong>to</strong> final products. The diesel fuel produced(“Fischer-Tropsch diesel”) is limited by a lack of naturallubricity, which can be remedied by additives [61].Water and CO 2 are typically produced as byproductsof the process.Coal-<strong>to</strong>-Liquids. A CTL plant transforms coal in<strong>to</strong> liquidfuels. CTL is economically competitive at an oilprice in the low <strong>to</strong> mid-$40 per barrel range and a coalcost in the range of $1 <strong>to</strong> $2 per million Btu, dependingon coal quality and location.A CTL plant requires several decades of coal reserves<strong>to</strong> justify construction. Given the economies of scalerequired, 30,000 barrels per day is regarded as a minimumplant size. Coal reserves of approximately 2 <strong>to</strong> 4billion <strong>to</strong>ns are required <strong>to</strong> support a commercial CTLplant <strong>with</strong> a capacity of 70,000 <strong>to</strong> 80,000 barrels perday over its useful life [62]. Capital expenses are estimated<strong>to</strong> be in the range of $50,000 <strong>to</strong> $70,000 (2004dollars) per barrel of daily capacity. The front-end(coal handling) portion of a CTL plant accounts forabout one-half of the capital cost [63].Figure 19. System elements for production ofsynthetic fuels from coal, natural gas, and biomassCoalSynthetic FuelsNatural gasSynfuels can be produced from coal, natural gas, orbiomass feeds<strong>to</strong>cks through chemical conversion in<strong>to</strong>syncrude and/or synthetic liquid products. Hugeindustrial facilities gasify the feeds<strong>to</strong>cks <strong>to</strong> producesynthesis gas (carbon monoxide and hydrogen) as aninitial step. Synfuel plants commonly employ theFischer-Tropsch process, <strong>with</strong> front-end processingfacilities that vary, depending on the feeds<strong>to</strong>ck. Themanufacturing process for the synthetic fuels typicallybypasses the traditional oil refining system, creatingfuels that can go directly <strong>to</strong> final markets. Asimplified flow diagram of the synthetic fuels processis shown in Figure 19.In the basic Fischer-Tropsch reaction, syngas is fed <strong>to</strong>a reac<strong>to</strong>r where it is converted <strong>to</strong> a paraffin wax,Front end:feeds<strong>to</strong>ckhandlingand syngasproductionSteam/heatElectricityWaterHydrogen/carbon dioxideBiomassSyngasFischer-TropschsynthesisByproductsandco-productioncapabilitySyncrudeProductseparationandworkupsectionNaphthaDieselKeroseneLubricants/waxes54 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in FocusThere are two leading technologies for convertingcoal in<strong>to</strong> transportation fuels and liquids. The originalprocess, indirect coal liquefaction (ICL), gasifiescoal <strong>to</strong> produce a syngas and rebuilds small moleculesin the Fischer-Tropsch process <strong>to</strong> produce the desiredfuels. Direct coal liquefaction (DCL) breaks the coaldown <strong>to</strong> maximize the proportion of compounds <strong>with</strong>the correct molecular size for liquid products. Theprocess reacts coal molecules <strong>with</strong> hydrogen underhigh temperatures and pressures <strong>to</strong> produce asyncrude that can be refined in<strong>to</strong> products. The conversionefficiency of DCL is greater than that of ICLand requires higher quality coal; however, DCL currentlyexists only in the labora<strong>to</strong>ry and at pilot plantscale. China’s first two CTL plants, which will use theDCL process, are slated <strong>to</strong> be operational after 2008[64].When combined <strong>with</strong> related processes such as CHPor IGCC, CTL can be considered a byproduct, <strong>with</strong>Fischer-Tropsch added as a part of a poly-generationconfiguration (steam, electricity, chemicals, andfuels). Revenues from the sale of electricity and/orsteam can significantly offset CTL production costs[65]. Prospects for CTL production could be constrained,however, by plant siting issues that includewaste disposal, water supply, and wastewater treatmentand disposal. Water-cooling limitations can beovercome through the use of air-cooling, although itadds <strong>to</strong> the cost of production. CTL requires water forthe front-end steps of coal preparation, and processingof coal <strong>with</strong> excessive moisture content can alsoproduce contaminated water that requires disposal.These issues are similar <strong>to</strong> those associated <strong>with</strong> typicalcoal-fired power plants.AEO<strong>2006</strong> projects 800,000 barrels per day of domesticCTL production in the reference case and 1.7 millionbarrels per day in the high price case in <strong>2030</strong>. Most ofthis activity initially occurs in coal-producing regionsof the Midwest. Worldwide CTL production in <strong>2030</strong><strong>to</strong>tals 1.8 million barrels per day in the reference caseand 2.3 million barrels per day in the high price case.Gas-<strong>to</strong>-Liquids. GTL is the chemical conversion ofnatural gas in<strong>to</strong> a slate of petroleum fuels. The processbegins <strong>with</strong> the reaction of natural gas <strong>with</strong> air(or oxygen) in a reformer <strong>to</strong> produce syngas, which isfed in<strong>to</strong> the Fischer-Tropsch reac<strong>to</strong>r in the presenceof a catalyst, producing a paraffin wax that ishydrocracked <strong>to</strong> products. A product workup sectionthen separates out the individual products. Distillateis the primary product, ranging from 50 percent <strong>to</strong> 70percent of the <strong>to</strong>tal yield.Given the significant capital costs of a GTL plant,natural gas reserves of 4 <strong>to</strong> 5 trillion cubic feet arerequired <strong>to</strong> provide a feeds<strong>to</strong>ck supply of 500 <strong>to</strong> 600million cubic feet per day over 25 years <strong>to</strong> support aplant <strong>with</strong> nominal capacity of 75,000 barrels per day.GTL competes <strong>with</strong> LNG for reserves of inexpensive,stranded natural gas located in scattered worldregions. Stranded natural gas lies far from marketsand would otherwise require major pipeline investments<strong>to</strong> commercialize. One processing advantagefor GTL plants is that they can use natural gas <strong>with</strong>high CO 2 content as a feeds<strong>to</strong>ck and can targetsmaller fields than are required for LNG production.Competition between GTL and LNG plants for theworld’s stranded natural gas supplies is not a limitingissue, however. All the GTL and LNG plants envisionedbetween now and <strong>2030</strong> would tap less than 15percent of the <strong>to</strong>tal world supply of stranded naturalgas.Capital costs for GTL plants range from $25,000 <strong>to</strong>$45,000 (2004 dollars) per barrel of daily capacity,depending on production scale and site selection.Those costs have dropped significantly, however,from more than $100,000 per barrel of <strong>to</strong>tal installedcapacity for the earliest plants. Opportunities <strong>to</strong> furtherlower the capital costs include reducing the sizeof air separation units, syngas reformers, andFischer-Tropsch reac<strong>to</strong>rs. Another opportunity lies inreducing cobalt and precious metals content in catalysts.An industry goal is <strong>to</strong> reduce GTL capital costsbelow $20,000 per barrel, but recent increases in steelprices and process equipment are making the goalmore elusive. By comparison, the cost of a conventionalpetroleum refinery is around $15,000 per barrelper day. In terms of engineering and constructionmetrics, a GTL facility <strong>with</strong> a capacity of 34,000 barrelsper day is roughly equivalent <strong>to</strong> a grassrootsrefinery <strong>with</strong> a capacity of 100,000 barrels per day[66].GTL is profitable when crude oil prices exceed $25 perbarrel and natural gas prices are in the range of $0.50<strong>to</strong> $1.00 per million Btu. The economics of GTL areextremely sensitive <strong>to</strong> the cost of natural gas feeds<strong>to</strong>cks.As in the case of LNG, the presence of naturalgas liquids (NGL) in the feeds<strong>to</strong>ck stream can augment<strong>to</strong>tal producer revenues, reducing the effectivecost of the natural gas input. In addition, the GTLprocess is exothermic, generating excess heat that canbe used <strong>to</strong> produce electricity, steam, or desalinatedwater and further enhance revenue streams.The technologies used for GTL are similar <strong>to</strong> thosethat have been employed for decades in methanol and<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 55


Issues in Focusammonia plants, and most are relatively mature;however, the suite of integrated GTL technologieshas not been used on a commercial scale. One loominguncertainty <strong>with</strong> regard <strong>to</strong> GTL is whether a provenpilot plant can be scaled up <strong>to</strong> the size of a commercialplant while reducing capital and operating costs. Akey engineering goal is <strong>to</strong> improve the thermal efficiencyof the GTL process, which is more complexthan either LNG liquefaction or petroleum refining.The leading GTL processes include those developedby Shell, Sasol, Exxon, Rentech, and Syntroleum. Atthis time, there is no indication as <strong>to</strong> which technologywill prevail. Currently, the proponents of thesevarious processes have nearly 800,000 barrels per dayof first generation capacity under development inQatar.AEO<strong>2006</strong> projects domestic GTL production originatingin Alaska, reflecting a longstanding proposal <strong>to</strong>monetize stranded natural gas on the North Slope.GTL liquids would be transported <strong>to</strong> the lower 48refining system. In <strong>2030</strong>, domestic GTL production<strong>to</strong>tals 200,000 barrels per day in the high price case,even though it competes directly <strong>with</strong> the Alaska naturalgas pipeline project. In AEO<strong>2006</strong>, both investmentsare feasible simultaneously. What will actuallyoccur depends on how and where Alaska natural gasstakeholders ultimately decide <strong>to</strong> make their investments.GTL production worldwide exceeds 1.1 millionbarrels per day in the reference case and 2.6million barrels per day in the high price case in <strong>2030</strong>.Biomass-<strong>to</strong>-Liquids. BTL encompasses the productionof fuels from waste wood and other non-foodplant sources, in contrast <strong>to</strong> conventional biodieselproduction, which is based primarily on food-relatedcrops. Because BTL does not ordinarily usefood-related crops, it does not conflict <strong>with</strong> increasingfood demands, although crops grown for BTLfeeds<strong>to</strong>cks would compete <strong>with</strong> food crops for land.BTL gasification technology is based on the CTL process.The resulting syngas is similar, but the distributionof the hydrocarbon components differs. BTL useslower temperatures and pressures than CTL. LikeGTL, the BTL reaction is exothermic and requires acatalyst [67]. There are at least 13 known processescovering directly and indirectly heated gasifiers forthis step.BTL originates from renewable sources, includingwood waste, straw, grain waste, crop waste, garbage,and sewage/sludge. According <strong>to</strong> a leading processdeveloper, 5 <strong>to</strong>ns of biomass yields 1 <strong>to</strong>n of BTL [68].One hectare (2.471 acres) of land generates 4 <strong>to</strong>ns ofBTL. A modestly sized BTL plant under sustainedoperation would require the biomass of slightly morethan 12,000 acres [69]. Unlike biodiesel or ethanol,BTL uses the entire plant and, thereby, requires lessland use.BTL fuels are several times more expensive <strong>to</strong> producethan gasoline or diesel. Without taxes and distributionexpenses, a leading European developerestimates BTL production costs approaching $3.35per gallon by 2007 and falling <strong>to</strong> $2.43 per gallon by2020 [70]. This equates <strong>to</strong> a crude oil equivalent pricein the high $80 per barrel range at current capital costlevels.BTL technology is at the pilot-plant stage of development.The capital cost of a commercial-scale BTLplant could approach $140,000 (2004 dollars) per barrelof capacity, according <strong>to</strong> a study conducted forDOE by Bechtel in 1998 [71]. The estimated initialinvestment level is comparable <strong>with</strong> those for earlyCTL and GTL plants, which have since declined by 50percent or more. Technological innovations over timeand economies of scale could further reduce BTLcosts. The first commercial-scale BTL plant, <strong>with</strong> acapacity just over 4,000 barrels per day. is planned <strong>to</strong>begin operation in Germany after 2008, followed byfour additional facilities. About two-thirds of a BTLplant’s capital cost is related <strong>to</strong> biomass handling andgasification. BTL front-end technology is new andevolving and has parallels <strong>with</strong> cellulose ethanoltechnology.Large BTL plants require huge catchment (staging)areas and incur high transportation costs <strong>to</strong> movefeeds<strong>to</strong>cks <strong>to</strong> a central plant. From a process standpoint,the main challenge for BTL is the high cost ofremoving oxygen. It is unclear whether gasificationand other processing steps can achieve the cost reductionsnecessary <strong>to</strong> make it more competitive. Catalystcosts are high, as they are for other Fischer-Tropschprocesses. Without additional technological advances<strong>to</strong> lower costs, BTL could be limited <strong>to</strong> the productionof fuel extenders rather than primary fuels.Renewable BiofuelsNot <strong>to</strong> be confused <strong>with</strong> BTLs are the renewablebiofuels, ethanol and biodiesel. These fuels can beblended <strong>with</strong> conventional fuels, which enhancestheir commercial attractiveness. Biofuels have highproduction costs and are about 2 <strong>to</strong> 3 times moreexpensive than conventional fuels. Renewable biofueltechnology is relatively mature for corn-based ethanolproduction, and future innovations are notexpected <strong>to</strong> bring its costs down substantially. Future56 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focuscost reductions are likely <strong>to</strong> be achieved by increasingproduction scale and implementing incremental processoptimizations. <strong>Energy</strong> is a significant componen<strong>to</strong>f operating costs, followed by catalysts, chemicals,and labor. Production costs are highly localized.The greatest challenge facing biofuels production is <strong>to</strong>secure sufficient raw material feeds<strong>to</strong>ck for conversionin<strong>to</strong> finished fuels. Production of biofuelsrequires significant land use dedicated <strong>to</strong> the growthof feeds<strong>to</strong>ck crops, and land prices could represent asignificant constraint.Ethanol. Ethanol, the most widely used renewablebiofuel, can be produced from any feeds<strong>to</strong>ck that containsplentiful natural sugars. Popular feeds<strong>to</strong>cksinclude sugar beets (Europe), sugar cane (Brazil), andcorn (United States). Ethanol is produced by fermentingsugars <strong>with</strong> yeast enzymes that convert glucose <strong>to</strong>ethanol. Crops are processed <strong>to</strong> remove sugar (bycrushing, soaking, and/or chemical treatment), thesugar is fermented <strong>to</strong> alcohol using yeasts andmicrobes, and the resulting mix is distilled <strong>to</strong> obtainanhydrous ethanol.There are two ethanol production technologies: sugarfermentation and cellulose conversion. Sugar fermentationis a mature technology, whereas celluloseconversion is new and still under development. Cellulose-<strong>to</strong>-biofuel(bioethanol) can use a variety of feeds<strong>to</strong>cks,such as forest waste, grasses, and solidmunicipal waste, <strong>to</strong> produce synthetic fuel.Capital costs for a corn-based ethanol plant can rangefrom $21,000 <strong>to</strong> $33,000 (2004 dollars) per barrel ofcapacity, depending on size [72]. Manufacturing costscan be as low as $0.75 per gallon, as demonstratedby the low-cost production in Brazil, where climateconditions are favorable and labor costs are low.One industry risk is drought, which can limit theavailability of feeds<strong>to</strong>cks. Another issue is competition<strong>with</strong> the food supply. Based on current land use,industry trade sources estimate that annual corn ethanolproduction in the United States is limited <strong>to</strong>Capital costs in transition for synthetic fuel facilitiesThe chart below shows the range of capital investmentcosts for the synthetic fuel technologies. A traditionalcrude oil refinery is shown as a point ofreference. Each of the alternative fuel technologiesis more expensive than an oil refinery, <strong>with</strong> a rangeof capital costs for each technology resulting fromindividual site location fac<strong>to</strong>rs, facility layouts, competingvendor technologies, and production scale.Over time, investment costs for synthetic fuel facilitiesare expected <strong>to</strong> decrease as a result of “learning-by-doing.”As the installed base of synthetic fuelplants grows, cost reductions are expected <strong>to</strong> parallelthose seen in the past for LNG liquefaction facilities,which have achieved cost reductions oftwo-thirds over the past three decades.At present, observed capital costs generally areinversely proportional <strong>to</strong> installed capacity. There isabout 300,000 barrels per day of installed corn ethanolcapacity in the United States, whereas biodieselcapacity amounts <strong>to</strong> about 12,000 barrels per dayof dedicated capacity plus another 7,000 barrelsper day of swing capacity from the oleochemicalindustry.(Malaysia and South Africa) and global CTL capacity<strong>to</strong>tals 150,000 barrels per day at the original developmentplants in South Africa. There is no commercialBTL capacity in the United States or elsewherein the world, except for pilot plants.Putting the current production capacity of these variousfuels in<strong>to</strong> perspective <strong>with</strong> traditional oil-basedfuels, U.S. refining capacity for all nonconventionalliquid fuels is over 17 million barrels per day, out of aworldwide <strong>to</strong>tal that is approaching 83 million barrelsper day.Range of capital investment costs for synthetic fuelfacilities (thousand 2004 dollars per daily barrelof capacity)Oil RefineryBiodieselEthanol (Corn)Gas-To-LiquidsThe liquefaction industry is still in its infancy. Atpresent there are no commercial GTL or CTL plantsin the United States other than pilot plants. Worldwide,GTL capacity is nearly 60,000 barrels per dayCoal-To-LiquidsBiomass-To-Liquids0 20 40 60 80 100 120 140 160<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 57


Issues in Focusapproximately 12 billion gallons <strong>to</strong> avoid disruptingfood markets.AEO<strong>2006</strong> projects 700,000 barrels per day of ethanolproduction in <strong>2030</strong> in the reference case, representingabout 47 percent of world production. The high pricecase projects production of 900,000 barrels per day in<strong>2030</strong>, representing 30 percent of the world <strong>to</strong>tal.Worldwide, ethanol production (including biodiesel)in <strong>2030</strong> <strong>to</strong>tals nearly 1.7 million barrels per day in thereference case and 3 million barrels per day in thehigh price case.Biodiesel. Biodiesel is produced from a variety of feeds<strong>to</strong>cks,including soybean oil (United States), palm oil(Malaysia), and rapeseed and sunflower oil (Europe).The technology is mature and proven. In general, thefeeds<strong>to</strong>ck for biodiesel undergoes an esterificationprocess, which removes glycerin and allows the oil <strong>to</strong>perform like traditional diesel. Although biodiesel hasbeen produced and used in stationary applications(heat and power generation) for nearly a century, itsuse as a transportation fuel is recent. Today it is usedprimarily as an additive <strong>to</strong> “stretch” conventional dieselsupplies, rather than as a standalone primary fuel.One technical limitation of biodiesel is its blend instabilityand tendency <strong>to</strong> form insoluble matter. In theUnited States, those limitations are further aggravatedby the introduction of new ULSD in<strong>to</strong> thenational fuel supply [73].Capital costs for biodiesel production facilities aresimilar <strong>to</strong> those for ethanol facilities, ranging from$9,800 <strong>to</strong> $29,000 (2004 dollars) per daily barrel ofcapacity, depending on size [74, 75]. Feeds<strong>to</strong>cks forbiodiesel, which can be expensive, include inedibletallow ($41 per barrel), jatropha oil ($43 per barrel),palm oil ($46 per barrel), soybean oil ($73 per barrel),and rapeseed oil ($78 per barrel) [76]. On a gasoline-equivalentbasis, production costs in the UnitedStates range from 80 cents per gallon for biodieselfrom waste grease <strong>to</strong> $1.14 per gallon for biodieselfrom soybeans oil. U.S. biodiesel production <strong>to</strong>tals20,000 barrels per day in <strong>2030</strong> in the AEO<strong>2006</strong> referencecase and 30,000 barrels per day in the high pricecase.Mercury Emissions Control TechnologiesThe AEO<strong>2006</strong> reference case assumes that States willcomply <strong>with</strong> the requirements of the EPA’s newCAMR regulation. CAMR is a two-phase program,<strong>with</strong> a Phase I cap of 38 <strong>to</strong>ns of mercury emitted fromall U.S. power plants in 2010 and a Phase II cap of 15<strong>to</strong>ns in 2018. Mercury emissions in the electricitygeneration sec<strong>to</strong>r in 2003 are estimated at around 50<strong>to</strong>ns. Genera<strong>to</strong>rs have a variety of options <strong>to</strong> meet themercury limits, such as: switching <strong>to</strong> coal <strong>with</strong> a lowermercury content, relying on flue gas desulfurizationor selective catalytic reduction equipment <strong>to</strong> reducemercury emissions, or installing conventional activatedcarbon injection (ACI) technology.The reference case assumes that conventional ACItechnology will be available as an option for mercurycontrol. Conventional ACI has been shown <strong>to</strong> be effectivein removing mercury from bituminous coals buthas not performed as well on subbituminous or lignitecoals. On the other hand, brominated ACI—a relativelynew technology—has shown promise in its ability<strong>to</strong> control mercury emissions from subbituminousand lignite coals. Therefore, an alternative mercurycontrol technology case was developed <strong>to</strong> analyze thepotential impacts of brominated ACI technology.Preliminary tests sponsored by DOE indicate thatbrominated ACI can achieve high efficiencies inremoving mercury (approximately 90 percent orhigher for subbituminous coal and lignite, compared<strong>with</strong> about 60 percent for conventional ACI) at relativelylow carbon injection rates [77]. For the sensitivitycase, the mercury removal efficiency equationswere revised <strong>to</strong> reflect the latest brominated ACI dataavailable from DOE-sponsored tests [78]. BrominatedACI is about 33 percent more expensive than conventionalACI, and this change was also incorporated inthe alternative case. Other than the change in mercuryremoval efficiency and the higher cost ofbrominated ACI, the mercury emissions case uses thereference case assumptions.Figure 20 compares mercury emissions in the referenceand mercury control technology cases. Bothcases show substantial reductions in mercury emissions,<strong>with</strong> the greatest reductions occurring around2010 <strong>to</strong> 2012, when the CAMR Phase I cap has <strong>to</strong> bemet. The availability of brominated ACI results inslightly greater reductions in mercury emissions inthe 2010-2012 period, as genera<strong>to</strong>rs are able <strong>to</strong> utilizethe technology <strong>to</strong> overcomply and bank allowancesfor later use. In the reference case, mercury emissionsfrom U.S. power plants <strong>to</strong>tal 37 <strong>to</strong>ns in 2012, compared<strong>with</strong> 31 <strong>to</strong>ns in the mercury control technologycase. In <strong>2030</strong>, emissions are approximately the samein the two cases, at 15.3 and 15.6 <strong>to</strong>ns.Figure 21 shows mercury allowance prices in the referenceand mercury control technology cases. Whenbrominated ACI is assumed <strong>to</strong> be available, it has asubstantial impact on mercury allowance prices in58 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Issues in Focusthe early years of the projection. In 2010, mercuryallowance prices are reduced from $23,400 per poundin the reference case <strong>to</strong> $8,700 per pound in themercury control technology case, a reduction of 63percent. The mercury control technology case incorporatesimproved ACI performance data for a limitednumber of plant configurations (those for whichdata were available from the DOE-sponsored tests),because not all plant configurations had been tested<strong>with</strong> brominated ACI technology at the time [79]. Inthe alternative case, the difference in allowanceprices between the reference and mercury controltechnology cases narrows over the forecast horizon.Mercury allowance prices have a substantial impac<strong>to</strong>n the market for pollution control equipment. Themercury control technology case shows that, asexpected, increased use of brominated ACI wouldgreatly influence the ACI equipment market. Figure22 compares the amounts of coal-fired capacityexpected <strong>to</strong> be retrofitted <strong>with</strong> ACI systems in thereference and mercury control technology cases.The impact is significant in the alternative caseFigure 20. Mercury emissions from the electricitygeneration sec<strong>to</strong>r, 2002-<strong>2030</strong> (short <strong>to</strong>ns per year)605040302010Mercury controltechnology caseReference case02002 2010 2015 2020 2025 <strong>2030</strong>Figure 21. Mercury allowance prices, 2010-<strong>2030</strong>(thousand 2004 dollars per pound)8060ReferenceMercury control technologythroughout the projection period. In the referencecase, about 125 gigawatts of coal-fired capacity isretrofitted <strong>with</strong> ACI by <strong>2030</strong>. In the mercury controltechnology case, as a result of more effective mercuryremoval <strong>with</strong> brominated ACI, only about 88gigawatts of coal-fired capacity is retrofitted <strong>with</strong> ACIby <strong>2030</strong>.The mercury control technology case assumes thatbrominated ACI will be commercially available before2010 (CAMR Phase I), and that the cost and performancelevels seen in the initial DOE-sponsored testswill be replicable in the systems being offered commercially.Under these assumptions, comparison ofthe reference and mercury control technology caseshighlights several important points. The mercuryemissions levels are similar in the two cases, butallowance prices are much lower in the alternativecase, through 2020. Corresponding <strong>to</strong> the differencein allowance prices, significantly less coal-fired capacityis retrofitted <strong>with</strong> ACI in the mercury control technologycase than in the reference case. Overall,electricity genera<strong>to</strong>rs are able <strong>to</strong> comply <strong>with</strong> theCAMR requirements more easily when they haveaccess <strong>to</strong> the brominated ACI technology, whileachieving the same reductions in mercury emissionsas in the reference case and complying <strong>with</strong> theCAMR caps.U.S. Greenhouse Gas Intensity and theGlobal Climate Change InitiativeOn February 14, 2002, President Bush announced theAdministration’s Global Climate Change Initiative[80]. A key goal of the Climate Change Initiative is <strong>to</strong>reduce U.S. GHG intensity—defined as the ratio of<strong>to</strong>tal U.S. GHG emissions <strong>to</strong> economic output—by 18percent over the 2002 <strong>to</strong> 2012 time frame.Figure 22. Coal-fired generating capacityretrofitted <strong>with</strong> activated carbon injection systems,2010-<strong>2030</strong> (gigawatts)150125100ReferenceMercury control technology407550202502010 2015 2020 2025 <strong>2030</strong>02010 2015 2020 2025 <strong>2030</strong><strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 59


Issues in FocusAEO<strong>2006</strong> projects energy-related CO 2 emissions,which represented approximately 83 percent of <strong>to</strong>talU.S. GHG emissions in 2002. <strong>Projections</strong> for theother GHGs are derived from an EPA “no-measures”case, a recent update <strong>to</strong> the “business-as-usual” casecited in the White House Greenhouse Gas Policy BookAddendum [81] released <strong>with</strong> the Climate ChangeInitiative. The projections from the Policy Book werebased on several EPA-sponsored studies conducted inpreparation for the U.S. Department of State’s ClimateAction Report 2002 [82]. The no-measures casewas developed by EPA in preparation for a planned<strong>2006</strong> “National Communication” <strong>to</strong> the UnitedNations in which a “<strong>with</strong>-measures” policy case is <strong>to</strong>be published [83]. Table 15 combines the AEO<strong>2006</strong>reference case projections for energy-related CO 2emissions <strong>with</strong> the projections for other GHGs.Although AEO<strong>2006</strong> does not include cases that specificallyaddress alternative assumptions about GHGintensity, the integrated high technology case doesgive some indication of the feasibility of meeting the18-percent intensity reduction target. In the integratedhigh technology case, which combines the hightechnology cases for the residential, commercial,industrial, transportation, and electric power sec<strong>to</strong>rs,CO 2 emissions in 2012 are projected <strong>to</strong> be 166 millionmetric <strong>to</strong>ns less than the reference case projection. Asa result, U.S. GHG intensity would fall by 18.6 percentfrom 2002 <strong>to</strong> 2012, more than enough <strong>to</strong> meetthe Administration’s goal of 18 percent (Figure 23).Figure 23. Projected change in U.S. greenhouse gasintensity in three cases, 2002-2020 (percent)0According <strong>to</strong> the combined emissions projections inTable 15, the GHG intensity of the U.S. economy isexpected <strong>to</strong> decline by 17 percent between 2002 and2012, and by 28 percent between 2002 and 2020 in thereference case. The Administration’s goal of reducingGHG intensity by 18 percent by 2012 would requireemissions reductions of about 116 million metric <strong>to</strong>nsCO 2 equivalent from the projected levels in the referencecase.-5-10-15-20-25-30-352012 goal2002 2007 2012 2016 20202005technologycaseReferenceHightechnologycaseTable 15. Projected changes in U.S. greenhouse gas emissions, gross domestic product, and greenhouse gasintensity, 2002-2020ProjectionPercent ChangeMeasure2002 2012 2020 2002-2012 2002-2020Greenhouse gas emissions(million metric <strong>to</strong>ns carbon dioxide equivalent)<strong>Energy</strong>-related carbon dioxide 5,746 6,536 7,119 13.7 23.9Methane 626 686 739 9.5 18.0Nitrous oxide 335 351 366 4.9 9.3Gases <strong>with</strong> high global warming potential 143 245 339 71.2 136.6Other carbon dioxide and adjustmentsfor military and international bunker fuel 62 79 86 26.7 37.2Total greenhouse gases 6,913 7,897 8,649 14.2 25.1Gross domestic product (billion 2000 dollars) 10,049 13,793 17,541 37.3 74.6Greenhouse gas intensity(thousand metric <strong>to</strong>ns carbon dioxideequivalent per billion 2000 dollars of grossdomestic product) 688 573 493 -16.8 -28.360 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Market TrendsThe projections in AEO<strong>2006</strong> are not statements ofwhat will happen but of what might happen, giventhe assumptions and methodologies used. Theprojections are business-as-usual trend estimates,given known technology, technological and demographictrends, and current laws and regulations.Thus, they provide a policy-neutral reference casethat can be used <strong>to</strong> analyze policy initiatives. EIAdoes not propose, advocate, or speculate on futurelegislative and regula<strong>to</strong>ry changes. All laws areassumed <strong>to</strong> remain as currently enacted; however,the impacts of emerging regula<strong>to</strong>ry changes, whendefined, are reflected.Because energy markets are complex, models aresimplified representations of energy production andconsumption, regulations, and producer and consumerbehavior. <strong>Projections</strong> are highly dependen<strong>to</strong>n the data, methodologies, model structures,and assumptions used in their development.Behavioral characteristics are indicative of realworldtendencies rather than representations ofspecific outcomes.<strong>Energy</strong> market projections are subject <strong>to</strong> muchuncertainty. Many of the events that shape energymarkets are random and cannot be anticipated,including severe weather, political disruptions,strikes, and technological breakthroughs. In addition,future developments in technologies, demographics,and resources cannot be foreseen <strong>with</strong>certainty. Many key uncertainties in the AEO<strong>2006</strong>projections are addressed through alternative cases.EIA has endeavored <strong>to</strong> make these projections as objective,reliable, and useful as possible; however,they should serve as an adjunct <strong>to</strong>, not a substitutefor, a complete and focused analysis of public policyinitiatives.


Trends in Economic ActivityStrong Economic Growth Is ExpectedTo Continue Through <strong>2030</strong>Figure 24. Average annual growth rates of realGDP, labor force, and productivity in three cases,2004-<strong>2030</strong> (percent per year)4.0 ReferenceHigh growth3.0Low growth2.01.00.0Real GDP Labor force ProductivityAEO<strong>2006</strong> presents three views of economic growthfor the forecast period from 2004 through <strong>2030</strong>.Although probabilities are not assigned, the referencecase reflects the most likely view of how the economywill unfold over the period. In the reference case, theNation’s economic growth, measured in terms of realGDP based on 2000 chain-weighted dollars, is projected<strong>to</strong> average 3.0 percent per year (Figure 24). Thelabor force is projected <strong>to</strong> grow by 0.8 percent per yearon average; labor productivity growth in the nonfarmbusiness sec<strong>to</strong>r is projected <strong>to</strong> average 2.3 percent peryear; and investment growth is projected <strong>to</strong> average4.0 percent per year. Disposable income grows by 3.1percent per year in the reference case and disposableincome per capita by 2.2 percent per year. Nonfarmemployment grows by 1.1 percent per year, whileemployment in manufacturing shrinks by 0.5 percentper year.The high and low economic growth cases show theeffects of alternative growth assumptions on theenergy market projections. The high growth caseassumes higher growth rates for population (1.2 percentper year), nonfarm employment (1.4 percent),and productivity (2.7 percent). With higher productivitygains and employment growth, projected inflationand interest rates are lower than in the referencecase. The low growth case assumes lower growthrates for population (0.5 percent per year), nonfarmemployment (0.7 percent per year), and productivity(1.8 percent per year), resulting in higher projectionsfor prices and interest rates and lower projections forindustrial output growth.Unemployment, Interest, andInflation Rates Near His<strong>to</strong>rical NormsFigure 25. Average annual unemployment, interest,and inflation rates, 2004-<strong>2030</strong> (percent per year)0.0Unemployment4.7InterestAA utility bond rate7.710-year Treasury note5.9Federal funds rate4.9InflationGDP chain-type index2.5CPI: all urban2.7CPI: energy2.6WPI: all commodities 1.5WPI: fuel and power0.02.6In the reference case, U.S. economic indica<strong>to</strong>rs generallyare projected <strong>to</strong> follow his<strong>to</strong>rical trends, on average,from 2004 through <strong>2030</strong>. Economic fac<strong>to</strong>rs thatare widely viewed as barometers for conditions in themarkets for labor, credit, and goods and servicesinclude: the average annual unemployment rate;yields on Federal funds, 10-year U.S. Treasury notes,and AA utility corporate bonds; and average annualinflation rates as measured by various wholesale andretail price indexes (Figure 25). For AEO<strong>2006</strong>, unemploymentand interest rates are calculated as annualaverages over the 2004-<strong>2030</strong> period, and inflationrates are calculated as average annual percentchanges in the price indexes.From 2004 through 2010, the economy (in terms ofreal GDP) is projected <strong>to</strong> grow more rapidly than itsprojected long-term average growth rate in the referencecase. Over the same period, the unemploymentrate is projected <strong>to</strong> decline from 5.5 percent in 2004 <strong>to</strong>4.7 percent in 2010. After an initial rise through 2015,the Federal funds rate is projected <strong>to</strong> decline <strong>to</strong> its his<strong>to</strong>ricalnorm of 5 percent. Longer term rates areexpected <strong>to</strong> be higher than the Federal funds rate,<strong>with</strong> the 10-year Treasury note yielding 6 percent andAA utility corporate bonds yielding approximately 8percent per year, on average, for the entire forecastperiod. The reference case projects an average annualinflation rate of 2.7 percent, as measured by all urbanCPI—slightly higher than the CPI for energy commoditiesand services or the wholesale price index(WPI) for fuel and power.62 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Trends in Economic ActivityOutput Growth for <strong>Energy</strong>-IntensiveIndustries Is Expected To Slow<strong>Energy</strong> Expenditures Relative <strong>to</strong> GDPAre Projected To DeclineFigure 26. Sec<strong>to</strong>ral composition of output growthrates, 2004-<strong>2030</strong> (percent per year)Figure 28. <strong>Energy</strong> expenditures as share of grossdomestic product, 1970-<strong>2030</strong> (nominal expendituresas percent of nominal GDP)Total gross output2.9Services3.2His<strong>to</strong>ry<strong>Projections</strong>25Industrial2.1<strong>Energy</strong> intensityManufacturing2.3(thousand Btu per20real dollar of GDP)Nonmanufacturing1.417.49.3Agriculture: crops1.2155.8Agriculture: other 0.7Coal mining1.6101973 2004 <strong>2030</strong>Oil and gas extraction 0.1Other mining1.55All energyPetroleumConstruction1.7Natural gas00.0 1.0 2.0 3.0 4.0 1970 1980 1990 2000 2010 2020 <strong>2030</strong>The industrial sec<strong>to</strong>r (all non-service industries) hasshown slower output growth than the economy as awhole in recent decades, <strong>with</strong> imports meeting agrowing share of demand for industrial goods. Thattrend is expected <strong>to</strong> continue in the reference caseprojections.Within the industrial sec<strong>to</strong>r, the output of manufacturingindustries is projected <strong>to</strong> grow more rapidlythan that of nonmanufacturing industries, whichinclude agriculture, mining, and construction (Figure26). With higher energy prices and more foreign competitionexpected, however, the energy-intensivemanufacturing sec<strong>to</strong>rs [84] are projected <strong>to</strong> grow byonly 1.3 percent per year from 2004 through <strong>2030</strong>,compared <strong>with</strong> a projected 2.6-percent averageannual rate of growth for non-energy-intensive manufacturingoutput (Figure 27).Figure 27. Sec<strong>to</strong>ral composition of manufacturingoutput growth rates, 2004-<strong>2030</strong> (percent per year)Manufacturing<strong>Energy</strong>-intensiveFoodPaperIn<strong>org</strong>anic chemicalsOrganic chemicalsResinsAgricultural chemicalsGlassCementIron and steelAluminumPetroleum refineriesNon-energy-intensiveMetal-based durablesOther manufacturing-1.0-0.51.11.31.92.30.60.90.12.11.10.90.81.02.63.01.90.0 1.0 2.0 3.0The ratio of <strong>to</strong>tal expenditures for energy relative <strong>to</strong><strong>to</strong>tal GDP (both in nominal dollars) provides an indicationof the importance of energy expenditures inthe aggregate economy. Before the oil embargo of1973-74, <strong>to</strong>tal energy expenditures were equal <strong>to</strong> 8percent of U.S. GDP, petroleum expenditures justunder 5 percent, and natural gas expenditures 1 percent.Following the price shocks of the 1970s andearly 1980s, those shares rose dramatically—<strong>to</strong> 14percent, 8 percent, and 2 percent, respectively, in1981. Since then they have fallen consistently, <strong>to</strong>2004 levels of about 7 percent for <strong>to</strong>tal energy expenditures,4 percent for petroleum expenditures, andjust over 1 percent for natural gas expenditures.Although recent developments in the world oil markethave pushed the shares upward, they are projected<strong>to</strong> decline from current levels in the referencecase. In <strong>2030</strong>, <strong>to</strong>tal nominal energy expenditures areprojected <strong>to</strong> equal 5 percent of nominal GDP, petroleumexpenditures 3 percent, and natural gas expendituresless than 1 percent (Figure 28).The overall decline in energy expenditures relative <strong>to</strong>GDP has resulted in large part from a decline in worldoil prices (in real dollar terms) from their peak in1981. And although oil prices have risen recently,their long-term trajec<strong>to</strong>ry in the AEO<strong>2006</strong> referencecase is relatively flat in real terms. Another reason forthe declining share of energy expenditures has been asteady decline in the energy intensity of the U.S.economy, measured as energy consumption (thousandBtu) per dollar of real GDP. Structural shifts inthe economy and improvements in energy efficiencyhave allowed for the decline in energy intensity,which is projected <strong>to</strong> continue through <strong>2030</strong>.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 63


International Oil MarketsOil Price Cases Show Uncertaintyin Prospects for World Oil MarketsFigure 29. World oil prices in three cases, 1980-<strong>2030</strong>(2004 dollars per barrel)10080604020His<strong>to</strong>ry<strong>Projections</strong>01980 1995 2004 2015 <strong>2030</strong>High priceReferenceLow priceWorld oil price projections in the AEO<strong>2006</strong> referencecase, in terms of the average price of importedlow-sulfur crude oil <strong>to</strong> U.S. refiners, are considerablyhigher than those presented in the AEO2005 referencecase. The higher price path in the reference casedoes not result from different assumptions about theultimate size of world oil resources but rather anticipatesa lower level of future investment in productioncapacity in key resource-rich regions and a reassessmen<strong>to</strong>f the willingness of OPEC <strong>to</strong> produce at higherrates than projected in last year’s outlook.The his<strong>to</strong>rical record shows substantial variability inworld oil prices, and there is arguably even moreuncertainty about future prices in the long term.AEO<strong>2006</strong> considers three price cases, allowing anassessment of alternative views on the course offuture oil prices (Figure 29). In the reference case,world oil prices moderate from current levels <strong>to</strong> $47per barrel in 2014, before rising <strong>to</strong> $57 per barrel in<strong>2030</strong> (2004 dollars). The low and high price casesdefine a wide range of potential world oil price paths,which in <strong>2030</strong> range from $34 <strong>to</strong> $96 per barrel.This variability is meant <strong>to</strong> show the uncertaintyabout prospects for future world oil resources andeconomics.In all three price cases, non-OPEC suppliers produce<strong>to</strong> capacity. Thus, the variation in price paths has thegreatest impact on the need for OPEC supply in thelong term. In <strong>2030</strong>, the call on OPEC is 46.8 millionbarrels per day in the reference case and 51.3 millionbarrels per day in the low price case, but only 31.7million barrels per day in the high price case—notmuch more than current OPEC production levels.Oil Imports Reach More Than18 Million Barrels per Day by <strong>2030</strong>Figure 30. U.S. gross petroleum imports by source,2004-<strong>2030</strong> (million barrels per day)201510502004 2005 2010 2015 2020 2025 <strong>2030</strong>OtherFar EastCaribbeanEuropeNorth AmericaOther OPECOPECPersian GulfTotal U.S. gross petroleum imports increase in thereference case, from 13.1 million barrels per day in2004 <strong>to</strong> 18.3 million in <strong>2030</strong> (Figure 30), deepeningU.S. reliance on imported oil in the long term. In<strong>2030</strong>, gross petroleum imports account for 64 percen<strong>to</strong>f <strong>to</strong>tal U.S. petroleum supply.More than one-half of the increase in U.S. grossimports comes from OPEC suppliers. Crude oilimports from the North Sea decline as productionebbs, and West Coast refiners import small volumesof crude oil from the Far East <strong>to</strong> replace a decline insupplies of Alaskan crude oil. Canada and Mexico continue<strong>to</strong> be important sources of U.S. petroleum supply.Much of the future Canadian contribution comesfrom the development of its enormous oil sandsresource base; however, the availability of suchnonconventional oil supplies is linked <strong>to</strong> world oilprices. In the high price case, nonconventional suppliesare more competitive <strong>with</strong> conventional sources,rising <strong>to</strong> about 21.1 million barrels per day worldwidein <strong>2030</strong>. In the low price case, nonconventional production<strong>to</strong>tals only 7.1 million barrels per day in <strong>2030</strong>.U.S. imports of refined petroleum products alsoincrease. Most of the increase comes from refiners inthe Caribbean Basin, North Africa, and the MiddleEast, where refining capacity is expected <strong>to</strong> expandsignificantly. Vigorous growth in demand for lighterpetroleum products in developing countries meansthat U.S. refiners are likely <strong>to</strong> import smaller volumesof light, low-sulfur crude oils.64 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


<strong>Energy</strong> DemandAverage <strong>Energy</strong> Use per PersonIncreases Through <strong>2030</strong>Figure 31. <strong>Energy</strong> use per capita and per dollar ofgross domestic product, 1980-<strong>2030</strong> (index, 1980 = 1)1.41.21.00.80.60.40.2His<strong>to</strong>ry<strong>Projections</strong><strong>Energy</strong>use percapita<strong>Energy</strong>use perdollarof GDPCoal and Petroleum Lead Increasesin Primary <strong>Energy</strong> UseFigure 32. Primary energy use by fuel, 2004-<strong>2030</strong>(quadrillion Btu)150125100755025Other renewablesHydropowerNuclearCoalNatural gasPetroleum0.01980 1995 2004 2015 <strong>2030</strong>02004 2010 2015 2020 2025 <strong>2030</strong>Population growth is a key determinant of <strong>to</strong>talenergy consumption, closely linked <strong>to</strong> rising demandfor housing, services, and travel. <strong>Energy</strong> consumptionper capita, controlling for population growth, showsthe combined effect of other fac<strong>to</strong>rs, such as economicgrowth and technology improvement. In the AEO-<strong>2006</strong> reference case, energy consumption per capitagrows faster than it has in recent his<strong>to</strong>ry (Figure 31),as a result of continued growth in disposable income.In dollar terms, the economy as a whole is becomingless dependent on energy, the Nation’s growing relianceon imported fuel not<strong>with</strong>standing. Projectedenergy intensity, as measured by energy use per 2000dollar of GDP, declines at an average annual rate of1.8 percent in the reference case. Efficiency gains andfaster growth in less energy-intensive industriesaccount for much of the decline, more than offsettingthe expected growth in demand for energy services inbuildings, transportation, and electricity generation.<strong>Energy</strong> intensity declines more rapidly in the nearterm, as consumers and businesses react <strong>to</strong> highenergy prices. As energy prices moderate over the longerterm, energy intensity declines at a slower rate. Asimilar pattern occurred from 1986 <strong>to</strong> 1992, whenenergy prices were generally falling.AEO<strong>2006</strong> does not assume policy-induced conservationmeasures beyond those in existing legislationand regulation, nor does it assume behavioralchanges that could result in greater energy conservation,beyond those experienced in the past.Total primary energy consumption, including energyfor electricity generation, grows by 1.1 percent peryear from 2004 <strong>to</strong> <strong>2030</strong> (Figure 32). Fossil fuelsaccount for 88 percent of the growth, <strong>with</strong> coal useincreasing by 53 percent, petroleum by 34 percent,and natural gas by 20 percent over that period. Theincrease in coal consumption occurs primarily in theelectric power sec<strong>to</strong>r, <strong>with</strong> strong growth in electricitydemand and favorable economics promptingincreases in coal-fired baseload capacity. More thanone-half of the increase in coal consumption isexpected after 2020, when higher natural gas pricesmake coal the fuel choice for most new power plants.Growth in natural gas consumption for power generationis restrained by its high price relative <strong>to</strong> coal.Industry and buildings account for 71 percent of theincrease in natural gas consumption from 2004 <strong>to</strong><strong>2030</strong>.Transportation accounts for 87 percent of theincrease in petroleum consumption, dominated bygrowth in fuel use for light-duty vehicles. Fuel use byfreight trucks, second in energy use among travelmodes, grows by 1.9 percent per year on average, thefastest annual rate among the major forms of transport.Petroleum use in the buildings sec<strong>to</strong>rs, mostlyfor space heating, declines slightly in the projection.AEO<strong>2006</strong> projects rapid growth in energy productionfrom nonhydroelectric renewable sources, partly as aresult of State mandates for renewable electricitygeneration and renewable energy production taxcredits. An increase in power generation from nuclearenergy is also projected, as tax credits spur constructionof new nuclear plants between 2014 and 2018.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 65


<strong>Energy</strong> DemandPetroleum and Electricity LeadGrowth in <strong>Energy</strong> ConsumptionFigure 33. Delivered energy use by fuel, 1980-<strong>2030</strong>(quadrillion Btu)60504030His<strong>to</strong>ry<strong>Projections</strong>PetroleumU.S. Primary <strong>Energy</strong> Use Climbs <strong>to</strong>134 Quadrillion Btu in <strong>2030</strong>Figure 34. Primary energy consumption by sec<strong>to</strong>r,1980-<strong>2030</strong> (quadrillion Btu)60His<strong>to</strong>ry<strong>Projections</strong>ResidentialCommercial50IndustrialTransportation403020Natural gasElectricity2010Coal0Renewables1980 1995 2004 2015 <strong>2030</strong>1001980 1990 2000 2010 2020 <strong>2030</strong>Delivered energy use (excluding losses in electricitygeneration) grows by 1.1 percent per year on averagefrom 2004 through <strong>2030</strong>. Petroleum use, whichmakes up more than one-half of <strong>to</strong>tal delivered energyuse, grows at about the same rate (Figure 33). Thefastest growth in petroleum use is projected for transportationenergy use. Although high fuel prices tend<strong>to</strong> restrain travel by passenger and commercial vehicles,economic growth and more travel per capitaincrease demand for gasoline and diesel fuel, assumingno changes in consumer behavior.Past trends in electricity consumption are expected <strong>to</strong>continue, <strong>with</strong> future increases resulting from stronggrowth in commercial floorspace, continued penetrationof electric appliances in the residential sec<strong>to</strong>r,and increases in industrial output. Natural gas usegrows more slowly than overall delivered energydemand, in contrast <strong>to</strong> its more rapid growth duringthe 1990s. As a result, natural gas meets 21 percent of<strong>to</strong>tal end-use energy requirements in <strong>2030</strong>, compared<strong>with</strong> 24 percent in 2004.End-use demand for energy from marketed renewables,such as wood, grows by 1.0 percent per year.Biomass used in the industrial sec<strong>to</strong>r, mostly as abyproduct fuel in the pulp and paper industry, is thelargest source of renewable fuel for end use. Demandfor purchased wood for home heating remains steadyin the projections, <strong>with</strong> potential growth constrainedby its limited availability and inconvenience. <strong>Energy</strong>from nonmarketed renewables, such as solar and geothermalheat pumps, more than doubles over the projectionperiod but is less than 1 percent of deliveredresidential energy use throughout the period.Primary energy use (including electricity generationlosses) increases by one-third over the next 26 years(Figure 34). The projected growth rate of energy consumptionin the AEO<strong>2006</strong> reference case approximatelymatches the average from 1981 <strong>to</strong> 2004.Demand for energy in the early 1980s fell in the faceof recession, high energy prices, and changing regulations;but beginning in the mid-1980s, declining realenergy prices and economic expansion contributed <strong>to</strong>a marked increase in energy consumption. The longtermupward trend in energy consumption is projected<strong>to</strong> continue in the reference case, <strong>with</strong> growthslowed somewhat by rising energy prices.The most rapid growth in sec<strong>to</strong>ral energy use is in thecommercial sec<strong>to</strong>r, where services continue <strong>to</strong> expandmore rapidly than the economy as a whole. Thegrowth rate for residential energy use is about halfthat for the commercial sec<strong>to</strong>r, <strong>with</strong> demographictrends being a dominant fac<strong>to</strong>r. Transportationenergy use grows at a slightly slower rate than it hassince 1980, despite high fuel prices. Increases intravel by personal and commercial vehicles are onlypartially offset by vehicle efficiency gains. Primaryenergy use in the industrial sec<strong>to</strong>r grows more slowlythan in the other sec<strong>to</strong>rs, <strong>with</strong> efficiency gains, higherreal energy prices, and shifts <strong>to</strong> less energy-intensiveindustries moderating the expected growth.Alternative cases have been developed <strong>to</strong> explore thekey uncertainties in the forecast, including two economicgrowth cases and two world oil price cases.Detailed projections and comparisons <strong>with</strong> the referencecase are provided in Appendixes B, C, and D.66 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Residential Sec<strong>to</strong>r <strong>Energy</strong> DemandDemographic Shifts Lead <strong>to</strong> Changesin Residential <strong>Energy</strong> Use per CapitaFigure 35. Delivered residential energyconsumption per capita by fuel, 1980-<strong>2030</strong>(index, 1980 = 1)2.0 His<strong>to</strong>ry <strong>Projections</strong>1.5Electricity<strong>Energy</strong> Use per Household for Spaceand Water Heating Is Expected To FallFigure 36. Delivered residential energyconsumption by end use, 2001, 2004, 2015, and <strong>2030</strong>(million Btu per household)50 20012004201540<strong>2030</strong>301.00.5Natural gasPetroleum20100.01980 1995 2004 2015 <strong>2030</strong>0SpaceheatingSpacecoolingWaterheatingRefrigerationLightingAllotherResidential electricity use per person has increasedsignificantly since 1980 (Figure 35). With the U.S.population migrating south and west, electricity usefor air conditioning has become more important thannatural gas and petroleum for space heating. TheSouth and West Census regions, which accounted for52 percent of the U.S. population in 1980, increased <strong>to</strong>59 percent in 2004 and continue increasing <strong>to</strong> nearly65 percent in <strong>2030</strong>.The type and size of houses, household energy uses,and the fuels chosen vary by region. In the Northeast,37 percent of households (compared <strong>with</strong> 27 percentnationally) live in multifamily units, which generallyare smaller and use less energy per household thanother types of housing. Fuel use for space heating isrelatively more important in this region than in otherregions. The Northeast, which accounted for 21 percen<strong>to</strong>f the U.S. population in 1980, decreased <strong>to</strong> 19percent in 2004 and falls <strong>to</strong> 16 percent in <strong>2030</strong>. This isone of the fac<strong>to</strong>rs that contributes <strong>to</strong> a decline in heatingoil use per capita in the U.S. residential sec<strong>to</strong>r.Natural gas use per capita has remained relativelyconstant in the residential sec<strong>to</strong>r since 1990. In 2004,56 percent of all households and 63 percent of newsingle-family households used natural gas for homeheating. Natural gas consumption per householddeclines as a growing share of the population livesin warmer climates; but per capita consumption ofnatural gas does not change significantly, because theaverage size of new houses increases.The size, type, and location of housing affect not onlythe type and amount of energy consumed per householdbut also which services are used more intensively.Larger houses require more energy <strong>to</strong> heat,cool, and illuminate, and as housing size continues <strong>to</strong>grow, energy use per household for these services canbe expected <strong>to</strong> grow, all else being equal. <strong>Energy</strong>consumption for space heating, water heating, andrefrigeration per household decreases over time,while energy use for lighting and all other applicationsgrows, despite continuing increases in theirenergy efficiency (Figure 36).In 2004, houses required 101 million Btu of deliveredenergy on average <strong>to</strong> provide all services. <strong>Energy</strong> usefor space heating, the largest single energy-consumingservice, declines by about 9 million Btu per household(20 percent) from 2004 <strong>to</strong> <strong>2030</strong> as a result ofincreasing energy efficiency and a 5-percent decreasein the average number of heating degree-days peryear. <strong>Energy</strong> use for space cooling per householdincreases slightly, based on an 8-percent increase incooling degree-days and the expectation that centralair conditioning will be installed in more existinghomes over time.The “all other” category shows the fastest growth ona per household basis, as higher incomes and newuses lead <strong>to</strong> additional purchases of electronics andother miscellaneous devices. In 2004, 21 percent ofthe energy used in the average home was for smallappliances. Their share of energy use per householdgrows <strong>to</strong> 29 percent in <strong>2030</strong>, as more large-screentelevision sets, computers, and related equipment arepurchased.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 67


Residential Sec<strong>to</strong>r <strong>Energy</strong> DemandIncreases in <strong>Energy</strong> EfficiencyAre Projected To ContinueFigure 37. Efficiency indica<strong>to</strong>rs for selectedresidential appliances, 2004 and <strong>2030</strong>(index, 2004 s<strong>to</strong>ck efficiency = 1)2.01.51.00.50.0NaturalgasfurnacesResistancewaterheatersCentralair conditionersRefrigera<strong>to</strong>rsbuildingNewshell efficiency2004 s<strong>to</strong>ck<strong>2030</strong> s<strong>to</strong>ck2004best availableCurrentstandardThe energy efficiency of new household appliancesplays a large role in determining the type and amoun<strong>to</strong>f energy used in the residential sec<strong>to</strong>r. As a result ofs<strong>to</strong>ck turnover and purchases of more efficient equipment,the amount of energy used by residential consumerson a per household basis has fallen over time,and many technologies exist <strong>to</strong>day that can furtherreduce residential energy consumption if they arepurchased and used by more consumers (Figure 37).The most efficient technologies can provide significantlong-run savings in energy bills, but their higherpurchase costs (and in some cases unsuitability forretrofit applications) may restrict their market penetration.For example, condensing technology for naturalgas furnaces, which reclaims heat from exhaustgases, can raise efficiency by more than 20 percen<strong>to</strong>ver units that just meet the current standard. Incontrast, there is little room for efficiency improvementsin electric resistance water heaters, becausethe technology is approaching its thermal limit.In 2004, 8 percent of all new single-family homes werecertified as ENERGY STAR compliant, implying atleast a 30-percent energy savings for heating andcooling relative <strong>to</strong> comparable homes built <strong>to</strong> currentcode. Four States—Texas, California, Arizona, andNevada—account for two-thirds of all ENERGYSTAR home completions, concentrating energy savingsin areas <strong>with</strong> relatively moderate climates.ENERGY STAR completions, as a percent of <strong>to</strong>talcompletions, are expected <strong>to</strong> increase over time asbuilders become more familiar <strong>with</strong> the requiredbuilding practices and the cost of the more efficientcomponents used decreases.Advanced Technologies Could ReduceResidential <strong>Energy</strong> UseFigure 38. Variation from reference case deliveredresidential energy use in three alternative cases,2004-<strong>2030</strong> (million Btu per household)50-5-102005 technologyReferenceHigh technologyBest available-15technology2004 2010 2015 2020 2025 <strong>2030</strong>The reference case includes the effects of several policiesaimed at increasing residential end-use efficiency,including minimum efficiency standards andvoluntary energy savings programs designed <strong>to</strong> promoteenergy efficiency through innovations in manufacturing,building, and mortgage financing. In the2005 technology case, which assumes no increase inthe efficiency of equipment or building shells beyondthat available in 2005, energy use per household in<strong>2030</strong> would be 5 percent higher than projected in thereference case (Figure 38). In the best available technologycase, which assumes that the most energyefficienttechnology is always chosen regardless ofcost, energy use per household in <strong>2030</strong> would be 15percent lower than in the reference case and 19 percentlower than in the 2005 technology case. In thehigh technology case, which assumes earlier availabilityof the most energy-efficient technologies, <strong>with</strong>lower costs and higher efficiencies, but does not constrainconsumer choices, energy use per householdwould be 6 percent lower than projected in the referencecase but higher than in the best available case.In the high technology case, the consumer discountrates used <strong>to</strong> determine the purchased efficiency of allresidential appliances do not vary from those used inthe reference case; that is, consumers value efficiencyequally across the two cases. <strong>Energy</strong>-efficient equipment,such as central air conditioners <strong>with</strong> efficiencyratings 50 percent higher than the current standard,can significantly reduce electricity use for space cooling.Likewise, home builders can construct homesthat use 50 percent less energy for heating and coolingrelative <strong>to</strong> current code in most regions of thecountry.68 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Commercial Sec<strong>to</strong>r <strong>Energy</strong> DemandEconomic, Population Growth ShapeTrends in Commercial <strong>Energy</strong> UseFigure 39. Delivered commercial energyconsumption per capita by fuel, 1980-<strong>2030</strong>(index, 1980 = 1)2.5 His<strong>to</strong>ry <strong>Projections</strong>2.01.5ElectricityEfficiency Gains Moderate Increasesin Commercial <strong>Energy</strong> IntensityFigure 40. Delivered commercial energy intensityby end use, 2004, 2015, and <strong>2030</strong>(thousand Btu per square foot)75 20042015<strong>2030</strong>501.0Natural gas250.50.01980 1995 2004 2015 <strong>2030</strong>Petroleum0SpaceheatingWaterheatingLightingCoolingOffice:PCsOffice:otherMisc.gasAllotherRecent trends in commercial fuel use are expected <strong>to</strong>continue, <strong>with</strong> growth in overall consumption similar<strong>to</strong> its pace in recent his<strong>to</strong>ry (Figure 39). Commercialdelivered energy use (excluding primary energy lossesin electricity generation) grows at about the samerate as commercial floorspace, by 1.6 percent per yearfrom 2004 through <strong>2030</strong>.Commercial floorspace growth and, in turn, commercialenergy use are driven by trends in economic andpopulation growth. Growth in disposable incomeleads <strong>to</strong> increased demand for services ranging fromhotels and restaurants <strong>to</strong> s<strong>to</strong>res, theaters, galleries,and arenas. These establishments continue <strong>to</strong> growmore electricity-based, as well as depending on electricity-basedsupport services such as electronic processingcenters and Internet providers <strong>to</strong> completebusiness transactions.Increases in cooling demand contribute <strong>to</strong> the growthin commercial electricity use per capita, as the commercialsec<strong>to</strong>r expands <strong>to</strong> serve expected populationgrowth in the South and West. Slower populationgrowth in the Northeast, where heating oil is usedmore extensively, contributes <strong>to</strong> a decline in percapita petroleum use. Population effects on projectedcommercial energy use are not limited <strong>to</strong> regionaltrends. The share of the population over age 65increases from 12 <strong>to</strong> 20 percent between 2004 and<strong>2030</strong>, increasing the need for healthcare and assistedliving facilities and for electricity <strong>to</strong> power medicaland moni<strong>to</strong>ring equipment in those facilities.The determinants of commercial energy demandinclude both structural and demographic components.The Nation’s continued move <strong>to</strong> a service economyimplies growth in commercial services that useenergy intensively, such as health care; however, newconstruction must meet building codes and efficiencystandards, offsetting potential increases in energyintensity (consumption per square foot of commercialfloorspace).<strong>Energy</strong> intensity for the major commercial end usesdeclines as more energy-efficient equipment isadopted (Figure 40). Minimum efficiency standards,including those in EPACT2005, contribute <strong>to</strong> projectedefficiency improvements in commercial spaceheating, space cooling, water heating, and lighting,moderating the growth in commercial energydemand. An increase in building shell efficiency alsocontributes <strong>to</strong> the trend. In addition, the prospect ofhigh fossil fuel prices fac<strong>to</strong>rs in<strong>to</strong> expected efficiencyincreases for space and water heating equipment.Increases in energy intensity are expected only forend uses that have not yet saturated the commercialmarket, including electricity use for office equipment,as well as new telecommunications technologies andmedical imaging equipment in the “all other” end-usecategory. The “all other” category also includesventilation, refrigeration, minor fuel consumption,municipal water services, service station equipment,eleva<strong>to</strong>rs, vending machines, and a myriad of otheruses.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 69


Commercial Sec<strong>to</strong>r <strong>Energy</strong> DemandCurrent Technologies ProvidePotential <strong>Energy</strong> SavingsFigure 41. Efficiency indica<strong>to</strong>rs for selectedcommercial equipment, 2004 and <strong>2030</strong>(index, 2004 s<strong>to</strong>ck efficiency = 1)1.51.0Future standard2004 s<strong>to</strong>ck<strong>2030</strong> s<strong>to</strong>ck2004best availableCurrent standardAdvanced Technologies Could ReduceCommercial <strong>Energy</strong> UseFigure 42. Variation from reference case deliveredcommercial energy intensity in three alternativecases, 2004-<strong>2030</strong> (thousand Btu per square foot)1052005 technology0.50-5ReferenceHigh technology0.0GasfurnacesOil-firedboilersCommercial Electricunit air resistanceconditioners waterheaters-10Best available-15technology2004 2010 2015 2020 2025 <strong>2030</strong>The s<strong>to</strong>ck efficiency of energy-using equipment in thecommercial sec<strong>to</strong>r increases in the AEO<strong>2006</strong> referencecase (Figure 41). As equipment is replaced andnew buildings are built, technology advances are expected<strong>to</strong> reduce commercial energy intensity in mostend-use services, although the long equipment servicelives for many technologies moderate the pace ofefficiency improvement in the forecast. For much ofthe equipment covered by the EPACT1992, the existingFederal efficiency standards are higher than theaverage efficiency of the 2004 s<strong>to</strong>ck, ensuring someincrease in the s<strong>to</strong>ck average efficiency as new equipmentis added. EPACT2005 includes efficiency standardsfor a variety of commercial technologies, suchas air-cooled air conditioners, guaranteeing furtherincreases in s<strong>to</strong>ck efficiency. Future updates <strong>to</strong> theFederal standards could have significant effects oncommercial energy consumption, but they are not includedin the reference case.Currently available technologies have the potential <strong>to</strong>reduce commercial energy consumption significantly.Improved heat exchangers for oil-fired boilers canraise efficiency by 8 percent over the current standard;and the use of multiple compressors andenhanced heat exchanger surfaces can increase theefficiency of unit air conditioners by more than50 percent over the current standard and more than20 percent over the new standard. When a business isconsidering an equipment purchase, however, theadditional capital investment required for the mostefficient technologies often carries more weight thando future energy savings, limiting the adoption ofmore efficient technologies.The AEO<strong>2006</strong> reference case incorporates efficiencyimprovements for commercial equipment and buildingshells, resulting in little change in projected commercialenergy intensity (delivered energy use persquare foot of floorspace) over the projection period,despite increased demand for services. The 2005 technologycase assumes that future equipment andbuilding shells will be no more efficient than thoseavailable in 2005. The high technology case assumesearlier availability, lower costs, and higher efficienciesfor more advanced equipment than in the referencecase and more rapid improvement in buildingshells. The best available technology case assumesthat only the most efficient technologies will be chosen,regardless of cost, and that building shells willimprove at a faster rate than assumed in the hightechnology case.In the 2005 technology case, energy use per squarefoot in <strong>2030</strong> is 6 percent higher than in the referencecase (Figure 42), as a result of an 0.3-percent averageannual increase in commercial delivered energyintensity. The high technology case projects a3-percent energy savings per square foot in <strong>2030</strong> relative<strong>to</strong> the reference case. In the best available technologycase, commercial delivered energy intensity in<strong>2030</strong> is 12 percent lower than in the reference case.More optimistic assumptions result in additionalprojected energy savings from both renewable andconventional fuel-using technologies. In <strong>2030</strong>, commercialsolar PV systems generate more than threetimes as much electricity in the best technology caseas in the reference case.70 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Industrial Sec<strong>to</strong>r <strong>Energy</strong> DemandAdvanced Technologies Could SlowElectricity Sales Growth for BuildingsFigure 43. Buildings sec<strong>to</strong>r electricity generationfrom advanced technologies in two alternativecases, <strong>2030</strong> (percent change from reference case)300250High technologyBest available technologyEconomic Growth, Structural ChangeShape Industrial <strong>Energy</strong> IntensityFigure 44. Industrial energy intensity by twomeasures, 1980-<strong>2030</strong> (thousand Btu per 2000 dollar)8 His<strong>to</strong>ry <strong>Projections</strong>62001501005042<strong>Energy</strong> useper dollar value of shipments<strong>Energy</strong> useperdollarofGDP0Pho<strong>to</strong>voltaics Fuel cells Microturbines01980 1995 2004 2015 <strong>2030</strong>Alternative technology cases for the residential andcommercial sec<strong>to</strong>rs include varied assumptions forthe availability and market penetration of advanceddistributed generation technologies (solar PV systems,fuel cells, and microturbines). In the high technologycase, buildings generate 1.2 billionkilowatthours (10 percent) more electricity in <strong>2030</strong>than in the reference case (Figure 43), most of whichoffsets residential and commercial electricity purchases.In the best available technology case, electricitygeneration in buildings in <strong>2030</strong> is 10.9 billionkilowatthours (90 percent) higher than in the referencecase, <strong>with</strong> solar systems responsible for 96 percen<strong>to</strong>f the increase relative <strong>to</strong> the reference case. Theoptimistic assumptions of the best technology caseaffect solar PV systems more than fuel cells andmicroturbines, because there are no fuel expenses forsolar systems. In the 2005 technology case, assumingno further technological progress or cost reductionsafter 2005, electricity generation in buildings in <strong>2030</strong>is 2.8 billion kilowatthours (23 percent) lower than inthe reference case.Some of the heat produced by fossil-fuel-fired generatingsystems may be used <strong>to</strong> satisfy heating requirements,increasing system efficiency and enhancingthe attractiveness of the advanced technologies. Onthe other hand, the additional natural gas use for fuelcells and microturbines in the high technology andbest technology cases offsets some of the reductionsin energy costs that result from improvements inbuilding shells and end-use equipment. In addition,the prospect of high natural gas prices may slow orlimit their adoption.For the U.S. industrial sec<strong>to</strong>r, delivered energyconsumption in 2004 was approximately the same asin 1980, although GDP more than doubled and thevalue of shipments in the industrial sec<strong>to</strong>r was 50 percenthigher. Thus, aggregate industrial energy intensity,measured as industrial delivered energy perdollar of GDP, declined by 3.0 percent per year, andindustrial delivered energy per dollar of industrialvalue of shipments declined by 1.6 percent per yearfrom 1980 <strong>to</strong> 2004 (Figure 44). Fac<strong>to</strong>rs contributing<strong>to</strong> the decline in industrial energy intensity includeda greater focus on energy efficiency after the energyprice shocks of the 1970s and 1980s and a reduction inthe share of manufacturing activity accounted for bythe most energy-intensive industries. As the economyevolved, a larger portion of the nation’s output wasprovided by the services sec<strong>to</strong>r and a smaller portionby the industrial sec<strong>to</strong>r.In the AEO<strong>2006</strong> reference case, these trends continueat a slower pace through <strong>2030</strong>. Industrial energy useper dollar of GDP declines by 2.1 percent per year onaverage from 2004 through <strong>2030</strong>, and energy use perdollar of industrial value of shipments declines by 1.2percent per year. The rates of decline in industrialenergy intensity are less rapid than those from 1980<strong>to</strong> 2004, in part because the nonmanufacturing portionof industrial value of shipments (agriculture,mining, and construction) grows more slowly thanthe manufacturing portion, which includes the moreenergy-intensive manufacturing sec<strong>to</strong>rs.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 71


Industrial Sec<strong>to</strong>r <strong>Energy</strong> DemandMost <strong>Energy</strong>-Intensive IndustriesAre in the Manufacturing Sec<strong>to</strong>rFigure 45. <strong>Energy</strong> intensity in the industrial sec<strong>to</strong>r,2004 (thousand Btu per 2000 dollar of shipment)NonmanufacturingAgricultureMiningConstructionManufacturing<strong>Energy</strong>-intensiveFoodPaperBulk chemicalsGlassCementIron and steelAluminumPetroleum refineriesNon-energy-intensiveMetal-based durablesOther manufacturing0 10 20 30 40 50 60In the industrial sec<strong>to</strong>r, the manufacturing subsec<strong>to</strong>ris more energy-intensive than the nonmanufacturingsubsec<strong>to</strong>r (Figure 45), using about 50 percent moreenergy per dollar of output in 2004 [85]. From 1985 <strong>to</strong>2004, energy intensity declined more rapidly fornonmanufacturing industries than for manufacturing,primarily because most of the his<strong>to</strong>rical reductionin energy intensity for the manufacturingsubsec<strong>to</strong>r had already occurred by 1985 in response <strong>to</strong>the high energy prices of the late 1970s and early1980s. In the nonmanufacturing subsec<strong>to</strong>r, much ofthe decline in energy intensity from 1985 <strong>to</strong> 2004resulted from a compositional shift: the relativelylow-intensity construction industry grew more rapidly,particularly in the late 1990s and early 2000s,than the relatively high-intensity mining sec<strong>to</strong>r.From 2004 levels, energy intensity in the manufacturingsubsec<strong>to</strong>r, based on value of shipments,declines in the reference case at an average annualrate of 1.2 percent through <strong>2030</strong>, compared <strong>with</strong> anaverage decline of 1.0 percent per year in thenonmanufacturing subsec<strong>to</strong>r. The improvement inaggregate energy intensity for the manufacturingsubsec<strong>to</strong>r is accelerated by a compositional shift. In2004, the energy-intensive group of manufacturingindustries accounted for 21 percent of industrialvalue of shipments and the non-energy-intensivegroup 54 percent. With more rapid output growth inthe non-energy-intensive group from 2004 <strong>to</strong> <strong>2030</strong>,the <strong>2030</strong> shares are 17 percent and 61 percent,respectively.<strong>Energy</strong>-Intensive Industries GrowLess Rapidly Than Industrial AverageFigure 46. Average growth in industrial output anddelivered energy consumption by sec<strong>to</strong>r, 2004-<strong>2030</strong>(percent per year)NonmanufacturingAgricultureOutputMiningConstructionManufacturing<strong>Energy</strong> use<strong>Energy</strong>-IntensiveFoodPaperBulk chemicalsGlassCementIron and steelAluminumPetroleum refineriesNon-energy-intensiveMetal-based durablesOther manufacturing-1.0 0.0 1.0 2.0 3.0 4.0The shift in value of shipments from the industrialsec<strong>to</strong>r <strong>to</strong> the service sec<strong>to</strong>rs seen in recent decadescontinues in the AEO<strong>2006</strong> reference case. Totalindustrial sec<strong>to</strong>r value of shipments grows by 2.1 percentper year on average from 2004 through <strong>2030</strong>,while GDP grows by 3.0 percent per year. Among theindustrial subsec<strong>to</strong>rs, average annual growth ratesrange from 3.0 percent for metal-based durables <strong>to</strong>0.5 percent for bulk chemicals (Figure 46).The energy-intensive manufacturing subsec<strong>to</strong>r accountedfor nearly two-thirds of industrial deliveredenergy consumption in 2004. From 2004 through<strong>2030</strong>, the value of shipments for the energy-intensivesubsec<strong>to</strong>r grows by an average of 1.3 percent per year,while the non-energy-intensive subsec<strong>to</strong>r grows atabout twice that rate. The energy-intensive industriesmaintain their 2004 share of industrial energyconsumption in <strong>2030</strong>. With the growth of coal-<strong>to</strong>liquidsproduction in the refining sec<strong>to</strong>r, the bulkchemicals industry accounts for a smaller share of <strong>to</strong>talindustrial energy use in <strong>2030</strong> than it did in 2004;however, it remains the largest industrial energy consumer,accounting for nearly 25 percent of <strong>to</strong>tal industrialenergy consumption in <strong>2030</strong>. Together, thepaper, bulk chemicals, and petroleum refining subsec<strong>to</strong>rsaccount for more than 50 percent of all the energyconsumed in the industrial sec<strong>to</strong>r.Nonfuel use of energy in the industrial sec<strong>to</strong>r is concentratedin the bulk chemicals and constructionindustries. More than 60 percent of the energy consumedin the bulk chemicals industry is in the form offeeds<strong>to</strong>ck, and asphalt accounts for more than 50 percen<strong>to</strong>f the energy consumed in construction.72 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Industrial Sec<strong>to</strong>r <strong>Energy</strong> Demand<strong>Energy</strong> Intensity Declines in MostIndustrial Subsec<strong>to</strong>rsFigure 47. Projected energy intensity in <strong>2030</strong>relative <strong>to</strong> 2004, by industry (percent of 2004 value)NonmanufacturingAgricultureMiningConstructionManufacturing<strong>Energy</strong>-IntensiveFoodPaperBulk chemicalsGlassCementIron and steelAluminumPetroleum refineriesNon-energy-intensiveMetal-based durablesOther manufacturing0.0 0.5 1.0 1.5Within the industrial sec<strong>to</strong>r, the energy intensity ofdifferent industries (Figure 47) can change for a varietyof reasons. For example, there may be a change inthe types of activities or the methods used in a givensubsec<strong>to</strong>r, or more energy-efficient new capacity maybe installed <strong>to</strong> accommodate growth or replaceworn-out machinery.For each industry <strong>with</strong> a relatively rapid projectedchange in energy intensity from 2004 <strong>to</strong> <strong>2030</strong>, there isa unique explanation. In the steel industry, most newcapacity is expected <strong>to</strong> use electric arc furnace technology,which has a lower energy intensity than theolder blast furnace/basic oxygen furnace technology.Thus, the average energy intensity for the iron andsteel industry declines by 21 percent overall from2004 <strong>to</strong> <strong>2030</strong>. In the U.S. aluminum industry, no newprimary smelting capacity is expected <strong>to</strong> be constructed,and secondary smelting, a less energyintensiveprocess of melting scrap, is expected <strong>to</strong>become the dominant technology. As a result, theenergy intensity of the aluminum industry in <strong>2030</strong> isnearly one-third less than in 2004. In the metal-baseddurables industry, a robust growth projection, <strong>with</strong>output 114 percent greater in <strong>2030</strong> than in 2004,requires substantial amounts of new, more energyefficientcapital s<strong>to</strong>ck <strong>to</strong> meet demand for theindustry’s output. In the petroleum refining industry,coal consumption increases by 1.6 quadrillion Btufrom 2004 <strong>to</strong> <strong>2030</strong>, as CTL production grows. Consequently,its energy intensity increases over time.Alternative Technology Cases ShowRange of Industrial Efficiency GainsFigure 48. Variation from reference case deliveredindustrial energy use in two alternative cases,2004-<strong>2030</strong> (quadrillion Btu)3.02.01.00.0-1.0-2.0-3.02004 2010 2015 2020 2025 <strong>2030</strong>2005 technologyReferenceHigh technologyThe technology cases for the industrial sec<strong>to</strong>r representalternative views of the evolution and adoptionof energy-reducing technologies. In some sec<strong>to</strong>rs,energy-reducing technologies make significant contributions<strong>to</strong> lower energy intensity. For example,energy intensity in mining would increase if therewere more widespread adoption of technologies <strong>to</strong>produce fuels from oil shale. In other subsec<strong>to</strong>rs, suchas glass, technologies or techniques that tend <strong>to</strong>improve output quality have the ancillary effec<strong>to</strong>f reducing energy consumption. Generally, themanufacturing sec<strong>to</strong>r has more potential than thenonmanufacturing sec<strong>to</strong>r for the adoption of energyreducingtechnologies.In the high technology case, increased biomassrecovery and additions of CHP capacity offset process-relatedreductions in on-site energy consumption.Industrial cogeneration capacity increases morerapidly in the high technology case (3.4 percent peryear) than in the reference case (3.1 percent per year)[86]. Still, <strong>to</strong>tal industrial delivered energy consumptionin <strong>2030</strong> is 2 quadrillion Btu less than in the referencecase for the same level of output, and industrialenergy intensity improves by 1.4 percent per year onaverage, compared <strong>with</strong> 1.2 percent in the referencecase (Figure 48).In the 2005 technology case, industrial deliveredenergy use in <strong>2030</strong> is 2.4 quadrillion Btu higher thanin the reference case. Although the energy efficiencyof new equipment remains at its 2005 level in thiscase, average efficiency improves as old equipment isretired, and aggregate industrial energy intensityimproves by 0.9 percent per year.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 73


Transportation Sec<strong>to</strong>r <strong>Energy</strong> DemandTransportation <strong>Energy</strong> Use Per Capitain <strong>2030</strong> Is 15 Percent Over 2004 LevelFigure 49. Transportation energy use per capita,1980-<strong>2030</strong> (index, 2004 = 1)Travel Demand Is Projected To Growfor All Modes of TransportationFigure 50. Transportation travel demand by mode,1980-<strong>2030</strong> (index, 2004 = 1)1.21.0OtherTotalLight-duty2.01.5Heavy trucksAircraftLight-duty0.80.61.00.40.2His<strong>to</strong>ry<strong>Projections</strong>0.01980 1995 2004 2015 <strong>2030</strong>Total delivered energy consumption for transportationin the AEO<strong>2006</strong> reference case grows from 27.8quadrillion Btu in 2004 <strong>to</strong> 39.7 quadrillion Btu in<strong>2030</strong>, an increase of 43 percent. On a per-capita basis,however, the corresponding increase is only 15 percent(Figure 49). By mode, the most rapid increasesare in demand for freight movement and air travel.<strong>Energy</strong> use for freight trucks increases by 61 percentfrom 2004 <strong>to</strong> <strong>2030</strong>, followed by increases of 47 percentfor aircraft and 42 percent for light-duty vehicles.The increase in diesel fuel consumption by heavyfreight trucks averages 1.9 percent annually from2004 through <strong>2030</strong>, primarily as a result of growth inindustrial output that averages 2.1 percent per year.Economic growth is the primary reason for theincrease in demand for air travel, which results in a1.5-percent average annual increase in jet fuel use.Demand for light-duty vehicle fuels increases from16.2 quadrillion Btu in 2004 <strong>to</strong> 23.0 quadrillion Btu in<strong>2030</strong>. Although the vast majority of light-duty fueluse continues <strong>to</strong> be gasoline, diesel fuel consumptiongrows from 1.6 percent of <strong>to</strong>tal light-duty vehicle fuelconsumption in 2004 <strong>to</strong> 5.2 percent in <strong>2030</strong>. Transportationdemand for alternative fuels, mostly ethanolused in gasoline blending and liquefied petroleumgas (LPG), increases from 1.9 percent of <strong>to</strong>tal transportationenergy use in 2004 <strong>to</strong> 5.9 percent in <strong>2030</strong>.0.5His<strong>to</strong>ry<strong>Projections</strong>0.01980 1995 2004 2015 <strong>2030</strong>From 2004 <strong>to</strong> <strong>2030</strong>, demand for transportation servicesincreases for all modes of travel (Figure 50).Light-duty vehicle travel grows by 1.8 percent annuallythrough <strong>2030</strong>, significantly slower than the averageof 2.9 percent per year over the past 3 decades.Approximately 50 percent of the growth in light-dutyvehicle travel can be attributed <strong>to</strong> growth in the drivingage population, which increases by 0.9 percentannually. Higher fuel prices through 2008 slow thegrowth in demand for light-duty vehicle travel, but asfuel prices stabilize and per capita disposable incomerises, there is a more rapid increase in travel demand.His<strong>to</strong>rically, freight truck travel has grown by 3.0percent annually. In the reference case, its growthaverages 2.3 percent per year from 2004 through<strong>2030</strong>. Although output grows in many manufacturingsec<strong>to</strong>rs, most of the future increase in demand forfreight movement is tied <strong>to</strong> increased output from theelectronics, food, plastics, furniture, and miscellaneoussec<strong>to</strong>rs.Demand for air travel increases by 1.8 percent annuallyfrom 2004 through <strong>2030</strong>, down from its his<strong>to</strong>ricalannual growth rate of 3.3 percent. The airline industryis expected <strong>to</strong> recover from current financial conditionsand experience a strong recovery periodthrough 2011, when growth slows as congested conditionsbegin <strong>to</strong> affect the market. By 2019, severe constraintsassociated <strong>with</strong> available infrastructuremake airport capacity expansion a requirement forincreasing air travel.74 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Transportation Sec<strong>to</strong>r <strong>Energy</strong> DemandNew Technologies Promise ImprovedFuel Economy for Light-Duty VehiclesFigure 51. Average fuel economy of new light-dutyvehicles, 1980-<strong>2030</strong> (miles per gallon)3530252015105His<strong>to</strong>ry<strong>Projections</strong>01980 1995 2004 2015 <strong>2030</strong>CarsAll light-dutyvehiclesLight trucksThe average fuel economy of new light-duty vehicles,which peaked at 26.2 miles per gallon in 1987,declined <strong>to</strong> 24.9 miles per gallon in 2004 (Figure 51).The downward trend in light-duty vehicle fuel economyresulted from a rapid increase in sales of lighttrucks (sport utility vehicles, minivans, and pickups),which were required <strong>to</strong> meet a CAFE standard of 20.7miles per gallon, compared <strong>with</strong> 27.5 miles per gallonfor cars. In April 2003, NHTSA increased the CAFEstandards for light trucks <strong>to</strong> 21 miles per gallon formodel year 2005, 21.6 miles per gallon for model year<strong>2006</strong>, and 22.2 miles per gallon for 2007, and morerecently the agency has proposed a restructuring oflight truck standards, <strong>with</strong> additional increases infuel efficiency standards for model years 2008through 2011. AEO<strong>2006</strong> assumes no changes in currentlypromulgated fuel efficiency standards for carsand light trucks.Reversing the his<strong>to</strong>ric trend, the average fuel economyof new light-duty vehicles increases in the referencecase as a result of advances in fuel-savingtechnologies. Fuel economy for new light-duty vehiclesis 29.2 miles per gallon in <strong>2030</strong>. Although higherpersonal incomes are expected <strong>to</strong> increase demand forlarger, more powerful vehicles, and the averagehorsepower for new cars is 27 percent above the 2004average in <strong>2030</strong>, advanced technologies and materialspermit increases in performance and size of newvehicles <strong>with</strong>out sacrificing improvements in fueleconomy.Advanced Technologies Are ProjectedTo Exceed 25 Percent of Sales by <strong>2030</strong>Figure 52. Sales of advanced technology light-dutyvehicles by fuel type, 2015 and <strong>2030</strong>(thousand vehicles sold)2,500 HybridsAlcohol2,000Turbo direct injection dieselGaseousElectric1,500Fuel cell1,00050002015 <strong>2030</strong>Sales of advanced technology vehicles, representingau<strong>to</strong>motive technologies that use alternative fuels orrequire advanced engine technology, reach 5.7 millionper year (Figure 52) and make up more than 25 percen<strong>to</strong>f <strong>to</strong>tal light-duty vehicle sales in <strong>2030</strong>. Hybridelectric vehicles (including those specifically designed<strong>to</strong> use electric mo<strong>to</strong>rs and batteries in combination<strong>with</strong> a combustion engine <strong>to</strong> drive the vehicle andthose incorporating only an integrated starter genera<strong>to</strong>rfor fuel economy) are anticipated <strong>to</strong> sell well,<strong>with</strong> 1.1 million units sold in 2015, increasing <strong>to</strong> 2.4million units in <strong>2030</strong>. Sales of turbo direct injectiondiesel vehicles increase <strong>to</strong> 638,500 units in 2015 and1.7 million units in <strong>2030</strong>. Sales of alcohol flexiblefueledvehicles continue <strong>to</strong> increase, <strong>with</strong> 1.3 millionsold in <strong>2030</strong>.About 40 percent of advanced technology sales are asa result of Federal and State mandates for fuel economystandards, emissions programs, or other energyregulations. Currently, manufacturers selling alcoholflexible-fueled vehicles receive fuel economy creditsthat count <strong>to</strong>ward compliance <strong>with</strong> CAFE regulations.In the AEO<strong>2006</strong> reference case, the majority ofgasoline hybrid, electric, and fuel cell vehicle salesresult from compliance <strong>with</strong> low-emission vehicleprograms in California, Connecticut, Maine, Massachusetts,New Jersey, New York, Rhode Island,Washing<strong>to</strong>n, and Vermont. AEO<strong>2006</strong> does notinclude the impacts of California Assembly Bill 1493,which effectively sets carbon emission standards forlight-duty vehicles, because of uncertainty about theState’s ability <strong>to</strong> enforce the standards.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 75


Transportation Sec<strong>to</strong>r <strong>Energy</strong> DemandVehicle Technology Advances ReduceTransportation <strong>Energy</strong> DemandFigure 53. Changes in projected transportationfuel use in two alternative cases, 2010 and <strong>2030</strong>(percent change from reference case)302010High technology2005 technology2010 <strong>2030</strong>Technology Assumptions IncludeImprovements in Vehicle EfficiencyFigure 54. Changes in projected transportationfuel efficiency in two alternative cases,2010 and <strong>2030</strong> (percent change from reference case)40202010 <strong>2030</strong>High technology2005 technology0-100-20-30LightdutyvehiclesFreighttrucksAircraftLightdutyvehiclesFreighttrucksAircraft-20LightdutyvehiclesFreighttrucksAircraftLightdutyvehiclesFreighttrucksAircraftIn the AEO<strong>2006</strong> reference case, delivered energy usein the transportation sec<strong>to</strong>r increases from 27.8quadrillion Btu in 2004 <strong>to</strong> 39.7 quadrillion Btu in<strong>2030</strong>. In the high technology case, the projection for<strong>2030</strong> is 2.8 quadrillion Btu (7.1 percent) lower, <strong>with</strong>about 54 percent (1.5 quadrillion Btu) of the differenceattributed <strong>to</strong> efficiency improvements in lightdutyvehicles (Figure 53) as a result of increasedpenetration of advanced technologies, includingvariable valve lift, electrically driven power steeringpumps, and advanced electronic transmission controls.Similarly, projected fuel use by heavy freighttrucks in <strong>2030</strong> is 0.1 quadrillion Btu (0.9 percent)lower in the high technology case than in the referencecase, and advanced aircraft technologies reducefuel use for air travel by 1.0 quadrillion Btu (23.7 percent)in <strong>2030</strong>.In the 2005 technology case, <strong>with</strong> new technology efficienciesfixed at 2005 levels, efficiency improvementscan result only from s<strong>to</strong>ck turnover. As a result, <strong>to</strong>taldelivered energy demand for transportation in <strong>2030</strong> is3.7 quadrillion Btu (9.2 percent) higher in <strong>2030</strong> in the2005 technology case than in the reference case. Fueluse for air travel in <strong>2030</strong> is 1.0 quadrillion Btu (23.4percent) higher in the 2005 technology case than inthe reference case, and freight trucks use 0.9 quadrillionBtu (11.9 percent) more fuel in <strong>2030</strong> [87].The high technology case assumes lower costs andhigher efficiencies for new transportation technologies.Advances in conventional technologies increasethe average fuel economy of new light-duty vehicles in<strong>2030</strong> from 29.2 miles per gallon in the reference case<strong>to</strong> 32.1 miles per gallon in the high technology case.The average efficiency of the light-duty vehicle s<strong>to</strong>ckis 20.6 miles per gallon in 2010 and 24.4 miles per gallonin <strong>2030</strong> in the high technology case, compared<strong>with</strong> 20.4 miles per gallon in 2010 and 22.5 miles pergallon in <strong>2030</strong> in the reference case (Figure 54).For freight trucks, average s<strong>to</strong>ck efficiency in thehigh technology case is 0.6 percent higher in 2010 and1.1 percent higher in <strong>2030</strong> than the reference caseprojection of 6.8 miles per gallon. Advanced aircrafttechnologies increase aircraft efficiency by 9.3 percentin 2010 and 31.0 percent in <strong>2030</strong> relative <strong>to</strong> thereference case projections.In the 2005 technology case, the average fuel economyof new light-duty vehicles is 26.2 miles per gallon in<strong>2030</strong>, and the average for the entire light-duty vehicles<strong>to</strong>ck is 20.7 miles per gallon in <strong>2030</strong>. For freighttrucks, the average s<strong>to</strong>ck efficiency in <strong>2030</strong> is 6.1miles per gallon. Aircraft efficiency in <strong>2030</strong> averages61.6 seat-miles per gallon in the 2005 technology case,compared <strong>with</strong> 76.0 seat-miles per gallon in the referencecase.76 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Electricity Demand and SupplyContinued Growth in Electricity UseIs Expected in All Sec<strong>to</strong>rsFigure 55. <strong>Annual</strong> electricity sales by sec<strong>to</strong>r,1980-<strong>2030</strong> (billion kilowatthours)2,5002,0001,5001,000His<strong>to</strong>ry<strong>Projections</strong>CommercialResidentialIndustrialEarly Capacity Additions Use NaturalGas, Coal Plants Are Added LaterFigure 56. Electricity generation capacity additionsby fuel type, including combined heat and power,2005-<strong>2030</strong> (gigawatts)120 Natural gasCoalRenewables80Nuclear4050001980 1995 2004 2015 <strong>2030</strong>02005-20102011-20152016-20202021-20252026-<strong>2030</strong>Total electricity sales increase by 50 percent in theAEO<strong>2006</strong> reference case, from 3,567 billion kilowatthoursin 2004 <strong>to</strong> 5,341 billion kilowatthours in <strong>2030</strong>(Figure 55). The largest increase is in the commercialsec<strong>to</strong>r, as service industries continue <strong>to</strong> drive economicgrowth. By cus<strong>to</strong>mer sec<strong>to</strong>r, electricity demandgrows by 75 percent from 2004 <strong>to</strong> <strong>2030</strong> in thecommercial sec<strong>to</strong>r, by 47 percent in the residentialsec<strong>to</strong>r, and by 24 percent in the industrial sec<strong>to</strong>r.Efficiency gains are expected in both the residentialand commercial sec<strong>to</strong>rs as a result of new standardsin EPACT2005 and higher energy prices that promptmore investment in energy-efficient equipment. Inthe residential sec<strong>to</strong>r, the increase in electricitydemand that results from a trend <strong>to</strong>ward houses <strong>with</strong>more floorspace, in addition <strong>to</strong> population shifts <strong>to</strong>warmer regions, is mitigated by an increase in theefficiency of air conditioners and refrigera<strong>to</strong>rs. In thecommercial sec<strong>to</strong>r, increases in demand as a consequenceof larger building sizes and more intensive useof electrical equipment is offset by increases in theefficiency of heating, cooling, lighting, refrigeration,and cooking appliances.Personal computers become more energy-efficient onaverage as residents and companies replace moni<strong>to</strong>rsthat use cathode ray tubes <strong>with</strong> new models thatuse more efficient flat screens. New telecommunicationstechnologies and medical imaging equipmentincrease electricity demand in the “other” commercialend-use category, which accounts for one-half ofthe increase in commercial demand. In the industrialsec<strong>to</strong>r, increases in electricity sales are offset by rapidgrowth in on-site generation.With growing electricity demand and the retiremen<strong>to</strong>f 65 gigawatts of inefficient, older generating capacity,347 gigawatts of new capacity (including end-useCHP) will be needed by <strong>2030</strong>. Most retirements areexpected <strong>to</strong> be oil- and natural-gas-fired steam capacity,along <strong>with</strong> smaller amounts of oil- and natural-gas-firedcombustion turbines and coal-firedcapacity, which are not cost-competitive <strong>with</strong> newerplants.Capacity decisions depend on the costs and operatingefficiencies of different options, fuel prices, and theavailability of Federal tax credits for investments insome technologies. Natural gas plants are generallythe least expensive capacity <strong>to</strong> build but are characterizedby comparatively high fuel costs. Coal,nuclear, and renewable plants are typically expensive<strong>to</strong> build but have relatively low operating costs and, inaddition, receive tax credits under EPACT2005.Coal-fired and natural-gas-fired plants account forabout 50 percent and 40 percent, respectively, of thecapacity additions from 2004 <strong>to</strong> <strong>2030</strong> (Figure 56).Coal-fired capacity is generally more economical <strong>to</strong>operate than natural-gas-fired capacity, because coalprices are considerably lower than natural gas prices.As a result, new natural-gas-fired plants are built <strong>to</strong>ensure reliability and operate for comparatively fewhours when electricity demand is high.About 8 percent of the expected capacity expansionconsists of renewable generating units. New nuclearcapacity additions <strong>to</strong>tal 6 gigawatts, but no additionalnew nuclear plants are built after 2020, when theEPACT2005 production tax credit expires.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 77


Electricity SupplyCapacity Additions Are ExpectedTo Be Required in All RegionsFigure 57. Electricity generation capacityadditions, including combined heat and power,by region and fuel, 2005-<strong>2030</strong> (gigawatts)ECARERCOTMAACMAINMAPPNYNEFLSERCSPPNWPRACA0 20 40 60 80Natural gasNuclearRenewable/otherCoalMost areas of the United States currently haveexcess generation capacity, but all electricity demandregions (see Appendix F for definitions) are expected<strong>to</strong> need additional, currently unplanned, capacity by<strong>2030</strong> (Figure 57). The largest amounts of new capacityare expected in the Southeast (FL and SERC) andthe West (NWP, RA, and CA). In the Southeast, electricitydemand represents a relatively large share of<strong>to</strong>tal U.S. electricity sales, and its need for new capacityis greater than in other regions.With natural gas prices rising in the reference case,coal-fired plants make up most of the capacity additionsthrough <strong>2030</strong>. The largest concentrations ofnew coal-fired plants are in the Southeast and theWest. In the Southeast, new coal-fired plants are builtin view of the size of the electricity market and thecorresponding need for additional capacity. In theWest, where the capacity requirement is muchsmaller, the choice <strong>to</strong> build mostly coal-fired plants isbased on the region’s lower-than-average coal pricesand higher-than-average natural gas prices.Nationwide, some new natural-gas-fired plants arebuilt <strong>to</strong> maintain a diverse capacity mix or <strong>to</strong> serve asreserve capacity. Most are located in the Midwest(MAPP, MAIN, and ECAR) and South (ERCOT andSPP). The Midwest has a surplus of coal-fired generatingcapacity and does not need <strong>to</strong> add many newcoal-fired plants. In the South, natural gas prices arelower than the national average, and natural-gasfiredplants are more economical than in otherregions.Least Expensive Technology OptionsAre Likely Choices for New CapacityFigure 58. Levelized electricity costs for new plants,2015 and <strong>2030</strong> (2004 mills per kilowatthour)755025Incremental transmission costsVariable costs, including fuelFixed costsCapital costs02015<strong>2030</strong>Coal GascombinedcycleWind Nuclear Coal GascombinedcycleWind NuclearTechnology choices for new generating capacity aremade <strong>to</strong> minimize cost while meeting local and Federalemissions constraints. The choice of technologyfor capacity additions is based on the least expensiveoption available (Figure 58) [88]. The reference caseassumes a capital recovery period of 20 years. In addition,the cost of capital is based on competitive marketrates, <strong>to</strong> account for the risks of siting new units.Capital costs decline over time (Table 16), at ratesthat depend on the current stage of development foreach technology. For the newest technologies, capitalcosts are initially adjusted upward <strong>to</strong> reflect the optimisminherent in early estimates of project costs. Asproject developers gain experience, the costs areassumed <strong>to</strong> decline. The decline continues at a progressivelyslower rate as more units are built. Theefficiency of new plants is also assumed <strong>to</strong> improvethrough 2015, <strong>with</strong> heat rates for advanced combinedcycle and coal gasification units declining <strong>to</strong> 6,333 and7,200 Btu per kilowatthour, respectively.Table 16. Costs of producing electricityfrom new plants, 2015 and <strong>2030</strong>Advancedcoal2015 <strong>2030</strong>AdvancedcombinedcycleAdvancedcoalAdvancedcombinedcycleCosts2004 mills per kilowatthourCapital 30.34 11.33 27.78 10.76Fixed 4.73 1.40 4.73 1.40Variable 14.58 36.97 15.82 40.18Incrementaltransmission 3.47 2.88 3.40 2.94Total 53.12 52.58 51.73 55.2878 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Electricity SupplyEPACT2005 Tax Credits Are ExpectedTo Stimulate New Nuclear BuildsFigure 59. Electricity generation from nuclearpower, 1973-<strong>2030</strong> (billion kilowatthours)1,000State Programs Support RenewableGenerating Capacity AdditionsFigure 60. Additions of renewable generatingcapacity, 2004-<strong>2030</strong> (gigawatts)148001210UnplannedOther planned600840064State mandates20020His<strong>to</strong>ry<strong>Projections</strong>1970 1985 1995 2004 2015 <strong>2030</strong>0HydropowerBiomass GeothermalLandfillgasSolarWindIn the AEO<strong>2006</strong> reference case, nuclear capacityincreases from 99.6 gigawatts in 2004 <strong>to</strong> 108.8 gigawattsin <strong>2030</strong>. The increase includes 6.0 gigawatts ofcapacity at new plants stimulated by EPACT2005 taxincentives and 3.2 gigawatts of capacity expansion atexisting plants. EPACT2005 provides an 8-year productiontax credit of 1.8 cents per kilowatthour for up<strong>to</strong> 6 gigawatts of capacity built before 2021. If thecapacity limit is reached before 2020, the credit programends, and no additional units are expected. Theincrease in capacity at existing units assumes that alluprates approved, pending, or expected by the NRCwill be carried out.All existing nuclear plants are expected <strong>to</strong> continueoperating through <strong>2030</strong>, although most will bebeyond their original license expiration dates by then.As of September 2005, the NRC had approved licenserenewals for 35 nuclear units, and 14 other applicationswere being reviewed. As many as 28 additionalapplicants have announced intentions <strong>to</strong> pursuelicense renewals over the next 7 years, indicating astrong interest in maintaining the existing s<strong>to</strong>ck ofnuclear plants.Because of the increase in capacity, from new capacityand uprates, and the continued strong performanceof existing units, nuclear generation grows from 789billion kilowatthours in 2004 <strong>to</strong> 871 billion kilowatthoursin <strong>2030</strong> (Figure 59). That increase is not sufficient,however, for nuclear power <strong>to</strong> maintain itscurrent 20-percent share of <strong>to</strong>tal generation. In <strong>2030</strong>,even <strong>with</strong> a national average capacity fac<strong>to</strong>r of morethan 90 percent, nuclear power accounts for about 15percent of <strong>to</strong>tal U.S. generation.From 2004 <strong>to</strong> <strong>2030</strong>, 26.4 gigawatts of new renewablegenerating capacity is added in the reference case,including 21.9 gigawatts in the electric power sec<strong>to</strong>rand 4.5 gigawatts in the end-use sec<strong>to</strong>rs. Nearlyone-half of the <strong>to</strong>tal (11.7 gigawatts in the electricpower sec<strong>to</strong>r and 0.75 in the end-use sec<strong>to</strong>rs) is atleast partially stimulated by State programs, <strong>with</strong> theremainder resulting from commercial projects.Overall, 9.0 gigawatts of central-station capacity, primarilyin near-term projects, results from specificState standards: 3.7 gigawatts in Texas, 3.4 in California,0.9 in Nevada, and 0.5 in Minnesota. ThreeStates—Montana, New Mexico, and New York—add100 <strong>to</strong> 200 megawatts each. Ten States—Arizona,Colorado, Hawaii, Illinois, Massachusetts, Maine,New Jersey, Pennsylvania, Vermont, and Wisconsin—addless than 100 megawatts each. SeveralStates <strong>with</strong>out specific requirements also add newrenewable capacity, including nearly 400 megawattsin Washing<strong>to</strong>n, 300 in Oklahoma, 200 in Iowa, 150 inKansas, and smaller amounts elsewhere.The combination of Federal production tax creditsand State programs results primarily in new windpower. More than 93 percent of the capacity additionsstimulated by State programs are wind plants (Figure60). State programs also spur small amounts of PVand solar thermal capacity, <strong>to</strong>taling 180 megawatts.On the other hand, <strong>with</strong> the Federal production taxcredit assumed <strong>to</strong> expire on December 31, 2007, itspotential <strong>to</strong> trigger capacity additions using technologies<strong>with</strong> longer lead times, such as biomass, geothermal,and hydropower, is limited.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 79


Electricity SupplyRenewables Are Expected To BecomeMore Competitive Over TimeFigure 61. Levelized and avoided costs for newrenewable plants in the Northwest, 2015 and <strong>2030</strong>(2004 mills per kilowatthour)Natural Gas and Coal Meet MostNeeds for New Electricity SupplyFigure 62. Electricity generation by fuel,2004 and <strong>2030</strong> (billion kilowatthours)4,0002015GeothermalSolar thermalBiomassLevelized costWindAvoided cost<strong>2030</strong>GeothermalSolar thermalBiomassWind3,0002,0001,0002004<strong>2030</strong>0 25 50 75 100 125 1500Coal Nuclear NaturalgasRenewablesPetroleumThe competitiveness of both conventional and renewablegeneration resources is based on the most costeffectivemix of capacity that satisfies the demand forelectricity across all hours and seasons. Baseloadtechnologies tend <strong>to</strong> have low operating costs and setthe market price for power only during the hours ofleast demand. Dispatchable geothermal and biomassresources compete directly <strong>with</strong> new coal and nuclearplants, which <strong>to</strong> a large extent determine the avoidedcost [89] for baseload energy (Figure 61). In someregions and years, new geothermal or biomass plantsmay be competitive <strong>with</strong> new coal-fired plants, buttheir development is limited by the availability of geothermalresources or competitive biomass fuels.Wind and solar are intermittent technologies that canbe used only when resources are available. With relativelylow operating costs and limited resource availability,their avoided costs are determined largely bythe operating costs of the most expensive units inoperation when their resources are available. Solargenera<strong>to</strong>rs tend <strong>to</strong> operate during peak load periods,when natural-gas-fired combustion turbines andcombined-cycle units <strong>with</strong> higher fuel costs tend <strong>to</strong>determine the avoided cost. The levelized cost of solarthermal generation is significantly higher than itsavoided cost through <strong>2030</strong>. The availability of windresources varies among regions, but wind plants generallytend <strong>to</strong> displace intermediate load generation.Thus, the avoided costs of wind power will be determinedlargely by the low-<strong>to</strong>-moderate operating costsof combined-cycle and coal-fired plants, which setpower prices during intermediate load hours. In someregions and years, the levelized costs for wind powerare below its avoided costs.Coal-fired power plants (including utilities, independentpower producers, and end-use CHP) continue <strong>to</strong>supply most of the Nation’s electricity through <strong>2030</strong>(Figure 62). Coal-fired plants accounted for 50 percen<strong>to</strong>f all electricity generation in 2004, and theirshare increases <strong>to</strong> 57 percent in <strong>2030</strong>. In the nearterm, coal use increases gradually as a result ofgreater utilization of existing facilities, but its shareof <strong>to</strong>tal generation remains relatively constant. In thelonger term, the share of coal-fired generationincreases as new plants begin <strong>to</strong> operate.Because of comparatively high fuel prices, naturalgas-firedplants are not used as intensively as coalfiredplants. Natural-gas-fired plants provided 18 percen<strong>to</strong>f <strong>to</strong>tal supply in 2004, and their share declinesslightly <strong>to</strong> 17 percent in <strong>2030</strong>. Natural-gas-fired generationincreases initially as the recent wave ofnewer, more efficient plants come online, but itdeclines <strong>to</strong>ward the end of the forecast period as naturalgas prices continue <strong>to</strong> rise.Both nuclear and renewable generation increase asnew plants are built, stimulated by Federal tax incentivesand rising fossil fuel prices. Modest increases innuclear generation also result from improvements inplant performance and expansion of existing facilities,but the share of generation from nuclear plantsdeclines from 20 percent in 2004 <strong>to</strong> 15 percent in <strong>2030</strong>as <strong>to</strong>tal generation grows at a faster rate than nucleargeneration. The share of generation from renewablecapacity increases slightly, <strong>to</strong> account for about 9 percen<strong>to</strong>f <strong>to</strong>tal electricity supply in <strong>2030</strong>.80 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Electricity From Renewable SourcesTechnology Advances, Tax ProvisionsIncrease Renewable GenerationFigure 63. Grid-connected electricity generationfrom renewable energy sources, 1980-<strong>2030</strong>(billion kilowatthours)400His<strong>to</strong>ry<strong>Projections</strong>Biomass, Wind, and GeothermalLead Growth in RenewablesFigure 64. Nonhydroelectric renewable electricitygeneration by energy source, 2004-<strong>2030</strong>(billion kilowatthours)300300200ConventionalhydropowerOtherrenewables250200150GeothermalSolarWind10010050Biomass01980 1995 2004 2015 <strong>2030</strong>02004 2010 2020 <strong>2030</strong>MSW/LFGDespite technology improvements, rising fossil fuelcosts, and public support, the contribution of renewablefuels <strong>to</strong> U.S. electricity supply remains relativelysmall in the AEO<strong>2006</strong> reference case at 9.4 percent of<strong>to</strong>tal generation in <strong>2030</strong>, up from 9.0 percent in2004 (Figure 63). Although conventional hydropowerremains the largest source of renewable generationthrough <strong>2030</strong>, a lack of untapped large-scale sites,coupled <strong>with</strong> environmental concerns, limits itsgrowth, and its share of <strong>to</strong>tal generation falls from 6.8percent in 2004 <strong>to</strong> 5.1 percent in <strong>2030</strong>. Electricitygeneration from nonhydroelectric alternative fuelsincreases, however, bolstered by technology advancesand State and Federal supports. The share of nonhydropowerrenewables increases by 95 percent, from2.2 percent of <strong>to</strong>tal generation in 2004 <strong>to</strong> 4.3 percentin <strong>2030</strong>.Biomass is the largest source of renewable electricitygeneration among the nonhydropower renewablefuels. Co-firing <strong>with</strong> coal is relatively inexpensivewhen low-cost biomass resources are available; and asthe cost of biomass increases over time, new dedicatedbiomass facilities, such as IGCC plants, are built.Electricity generation from biomass increases from0.9 percent of <strong>to</strong>tal generation in 2004 <strong>to</strong> 1.7 percentin <strong>2030</strong>, <strong>with</strong> 38 percent of the increase comingfrom biomass co-firing, 36 percent from dedicatedpower plants, and 26 percent from new on-site CHPcapacity.Electricity generation from wind and geothermalenergy also increases in the reference case (Figure64). There is considerable uncertainty about thegrowth potential of wind power, which depends on avariety of fac<strong>to</strong>rs, including fossil fuel costs, Staterenewable energy programs, technology improvements,access <strong>to</strong> transmission grids, public concernsabout environmental and other impacts, and thefuture of Federal production tax credits. In the referencecase, generation from wind power increasesfrom 0.4 percent of <strong>to</strong>tal generation in 2004 <strong>to</strong> 1.1 percentin <strong>2030</strong>. Generation from geothermal facilitiesincreases from 0.4 percent of <strong>to</strong>tal generation in 2004<strong>to</strong> 0.9 percent in <strong>2030</strong>, despite limited opportunitiesfor the development of new sites. Most of the suitablesites, restricted mainly <strong>to</strong> Nevada and California,involve relatively high up-front costs and performancerisks; and although geothermal power plantsare eligible for the Federal production tax creditthrough 2007, the long construction lead timesrequired make it unlikely that significant new capacitycould be built in time <strong>to</strong> benefit from the currentcredit.Among the other alternative fuel technologies, generationfrom municipal solid waste (MSW) and LFGslips from 0.5 percent of <strong>to</strong>tal generation in 2004 <strong>to</strong>0.5 percent in <strong>2030</strong>. Solar technologies in generalremain <strong>to</strong>o costly for grid-connected applications, butdemonstration programs and State policies supportsome growth in central-station solar PV, and smallscalecus<strong>to</strong>mer-sited PV applications grow rapidly[90]. Grid-connected solar generation remains at lessthan 0.1 percent of <strong>to</strong>tal generation through <strong>2030</strong>.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 81


Electricity Fuel Costs and PricesFuel Costs Drop From Recent Highs,Then Increase GraduallyFigure 65. Fuel prices <strong>to</strong> electricity genera<strong>to</strong>rs,1995-<strong>2030</strong> (2004 dollars per million Btu)108642His<strong>to</strong>ry<strong>Projections</strong>PetroleumNatural gasCoalNuclear01995 2004 2010 2015 2020 2025 <strong>2030</strong>Electricity production costs are a function of the costsfor fuel, operations and maintenance, and capital. Inthe reference case, fuel costs account for about twothirdsof the generating costs for new natural-gasfiredplants, less than one-third for new coal-firedunits, and less than one-tenth for new nuclear powerplants in <strong>2030</strong>. For most fuels, delivered prices <strong>to</strong> electricitygenera<strong>to</strong>rs peak by <strong>2006</strong>, fall in the middleyears of the projections, and then increase steadilythrough <strong>2030</strong>. As a yearly average, natural gas pricesdrop <strong>to</strong> $5.06 in 2016 and then rise <strong>to</strong> $6.26 permillion Btu in <strong>2030</strong> (Figure 65). Similarly, petroleumprices decline <strong>to</strong> $6.39 in 2013 and then rise <strong>to</strong> $7.61per million Btu in <strong>2030</strong>. Coal prices remain relativelylow, <strong>with</strong> highs of about $1.50 per million Btu at thebeginning and end of the projection period and lows ofabout $1.40 in the middle years. Nuclear fuel costs,averaging $0.45 per million Btu in 2004, rise <strong>to</strong> $0.60per million Btu in <strong>2030</strong>.Electricity generation from natural-gas-fired powerplants, which have relatively low capital costs andemissions levels, increased in the early years of thisdecade. More recently, higher fuel prices haveincreased the cost of natural-gas-fired generation.For example, the price of natural gas <strong>to</strong> genera<strong>to</strong>rsjumped by 37 percent from 2004 <strong>to</strong> 2005. With naturalgas prices rising after 2016 in the reference case,the natural gas share of <strong>to</strong>tal electricity generationdrops, and both coal-fired and renewable generationincrease.Electricity Prices Moderate in theNear Term, Then Rise GraduallyFigure 66. Average U.S. retail electricity prices,1970-<strong>2030</strong> (2004 cents per kilowatthour)12 His<strong>to</strong>ry <strong>Projections</strong>1086421.7Average price(nominal cents)14.11970 <strong>2030</strong>01970 1985 1995 2004 2015 <strong>2030</strong>Electricity prices are determined primarily by thecosts of generation, which make up about two-thirdsof the <strong>to</strong>tal retail price. The 2004-2005 spikes in naturalgas and petroleum prices, along <strong>with</strong> elevated coalprices, led <strong>to</strong> a jump in electricity prices. Averageretail prices (in 2004 dollars) fall <strong>to</strong> 7.1 cents per kilowatthourin 2015, as new sources of natural gas andcoal are brought on line. After 2015, natural gas andpetroleum prices rise steadily, and power producersincrease their reliance on lower priced coal. As aresult, retail electricity prices rise gradually, <strong>to</strong> 7.5cents per kilowatthour in <strong>2030</strong> (Figure 66).Cus<strong>to</strong>mers in States <strong>with</strong> competitive retail marketsfor electricity see the effects of natural gas prices intheir electricity bills more rapidly than those in regulatedStates, because their prices are determined <strong>to</strong> agreater extent by the marginal cost of energy—theaverage operating cost of the last, most expensiveunit run each hour—rather than the average of allplant costs. Natural gas plants, <strong>with</strong> their higheroperating costs, often set the hourly marginal price.Distribution costs, which accounted for more thanone-quarter of retail electricity prices in 2004, declineby 14 percent from 2004 <strong>to</strong> <strong>2030</strong>, as the cost of distributioninfrastructure is spread over a growing cus<strong>to</strong>merbase, and technology improvements lower thecosts of billing, metering, and call-center services.Because of the additional investment needed <strong>to</strong> meetconsumers’ growing electricity use and <strong>to</strong> facilitatecompetitive wholesale energy markets, transmissioncosts rise by 27 percent, increasing their share of the<strong>to</strong>tal electricity price from 7 percent <strong>to</strong> 9 percent.82 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Electricity Alternative CasesFaster Economic Growth StimulatesCapacity Additions, Particularly CoalFigure 67. Cumulative new generating capacityby technology type in three economic growth cases,2004-<strong>2030</strong> (gigawatts)300 Natural gasCoal steam250RenewablesNuclear200150100500Low growth Reference High growthThe need for new generating capacity, particularlycoal-fired capacity, is influenced by economic growth.From 2004 <strong>to</strong> <strong>2030</strong>, average annual GDP growthranges from 2.4 percent in the low economic growthcase <strong>to</strong> 3.5 percent in the high economic growth case.The difference leads <strong>to</strong> a 21-percent variation in thelevel of electricity demand in <strong>2030</strong> between the lowand high economic growth cases, <strong>with</strong> a correspondingdifference of 215 gigawatts in the amount of newcapacity added from 2004 through <strong>2030</strong>, includingCHP in the end-use sec<strong>to</strong>rs.Most (65 percent) of the capacity added in the higheconomic growth case, relative <strong>to</strong> the reference case,consists of new coal-fired plants. Higher demand forelectricity and lower interest rates in the high economicgrowth case make new coal plants attractive.The stronger demand growth assumed in the highgrowth case also stimulates additions of renewableplants and, <strong>to</strong> a lesser degree, new natural-gas-firedcapacity (Figure 67). In the low economic growthcase, <strong>to</strong>tal capacity additions are reduced by 104gigawatts, and 73 percent of that projected reductionis in coal-fired capacity additions.Average electricity prices in <strong>2030</strong> are 4 percent higherin the high economic growth case than in the referencecase, due <strong>to</strong> higher natural gas prices and thecosts of building additional generating capacity. Electricityprices in <strong>2030</strong> are 4 percent lower in the loweconomic growth case than in the reference case. Inthe high economic growth case, a 9-percent increasein consumption of fossil fuels results in a 10-percentincrease in CO 2emissions from electricity genera<strong>to</strong>rsin <strong>2030</strong>.Natural-Gas-Fired Capacity AdditionsVary With Cost and PerformanceFigure 68. Cumulative new generating capacity bytechnology type in three fossil fuel technology cases,2004-<strong>2030</strong> (gigawatts)250 CoalAdvanced coal200Natural gasAdvanced gasRenewables150Nuclear100500Low fossil Reference High fossilThe cost and performance characteristics for variousfossil fuel generating technologies in the AEO<strong>2006</strong>reference case are determined in consultation <strong>with</strong>industry and government specialists. To test the significanceof uncertainty in the assumptions, alternativecases vary key parameters. In the high fossil fuelcase, capital costs, heat rates, and operating costs foradvanced fossil-fired generating technologies in <strong>2030</strong>are assumed <strong>to</strong> be 10 percent lower than in the referencecase. The low fossil fuel case assumes no changein capital costs and heat rates for advanced technologiesfrom their <strong>2006</strong> levels.With different cost and performance assumptions,the mix of generating technologies changes (Figure68). In the high fossil case, natural gas technologiesmake up the largest share of new capacity additions;in the reference and low fossil cases, coal technologiesaccount for most of the new capacity additions. In thehigh fossil case, advanced technologies are used for 79percent of all natural-gas-fired capacity additions and71 percent of all coal-fired capacity additions by <strong>2030</strong>;in the low fossil case, advanced technologies are usedfor only 54 percent of natural-gas-fired capacity additionsand a negligible percentage of coal-fired capacityadditions, but almost 10 gigawatts of nuclear generatingcapacity is added by <strong>2030</strong>. The average efficiencyof fossil-fuel-fired power plants varies only slightlyamong the three cases—from 36 percent in the lowfossil case <strong>to</strong> almost 38 percent in the high fossil casein <strong>2030</strong>—because plant owners are not expected <strong>to</strong>upgrade the large base of older generating units.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 83


Electricity Alternative CasesNew Nuclear Plants Are CompetitiveWhen Lower Costs Are AssumedFigure 69. Levelized electricity costs for new plantsby fuel type in two nuclear cost cases, 2015 and <strong>2030</strong>(2004 cents per kilowatthour)108642015Incremental transmission costs<strong>2030</strong> Variable costs, including fuelFixed costsCapital costsLower Cost Assumptions IncreaseBiomass and Geothermal CapacityFigure 70. Nonhydroelectric renewable electricitygeneration by energy source in three cases,2010 and <strong>2030</strong> (billion kilowatthours)400 High renewablesLow renewables300200ReferenceGeothermalSolarWind20CoalNatural gascombinedcycleNuclear:referencecaseNuclear: Nuclear:advanced vendorcost case estimate case10002010 <strong>2030</strong>BiomassMSW/LFGThe reference case assumptions for the cost andperformance characteristics of new technologies arebased on cost estimates by government and industryanalysts, allowing for uncertainties about newdesigns. Because no new nuclear plants have beenordered in this country since 1977, there is no reliableestimate of what they might cost. In recent years, variousnuclear vendors have argued that their newplants will be simpler and less costly. Two alternativenuclear cost cases address this uncertainty. Theadvanced nuclear cost case assumes capital and operatingcosts 20 percent below those in the referencecase in <strong>2030</strong>, reflecting a 31-percent reduction inovernight capital costs from <strong>2006</strong> <strong>to</strong> <strong>2030</strong>. The vendorestimate case assumes reductions relative <strong>to</strong> the referencecase of 18 percent initially and 44 percent in<strong>2030</strong>, consistent <strong>with</strong> estimates from British NuclearFuels Limited (Westinghouse) for the manufacture ofits AP1000 advanced pressurized-water reac<strong>to</strong>r.Nuclear generating costs in the alternative nuclearcost cases are competitive <strong>with</strong> the generating costsfor new coal- and natural-gas-fired units <strong>to</strong>ward theend of the projection period (Figure 69). (The figureshows average generating costs, assuming generationat the maximum capacity fac<strong>to</strong>r for each technology;the costs and relative competitiveness of the technologiescould vary by region.) In the reference case, Federaltax credits result in 6 gigawatts of new nuclearcapacity. In the advanced nuclear case 34 gigawatts ofnew nuclear capacity is added between 2004 and<strong>2030</strong>, and in the vendor estimate case 77 gigawatts ofnew nuclear capacity is added. The additional nuclearcapacity displaces primarily new coal-fired capacity.The impacts of key assumptions about the availabilityand cost of nonhydroelectric renewable energy resourcesfor electricity generation are shown in twoalternative technology cases. In the low renewablescase, the cost and performance of genera<strong>to</strong>rs usingrenewable resources are assumed <strong>to</strong> remain unchangedthroughout the forecast. The high renewablescase assumes cost reductions of 10 percent in<strong>2030</strong> on a site-specific basis for hydroelectric, geothermal,biomass, wind, and solar capacity.In the low renewables case, construction of newrenewable capacity is less than projected in the referencecase (Figure 70). In the high renewables case,more additions of biomass, geothermal, and windcapacity are projected through <strong>2030</strong> than in the referencecase, <strong>with</strong> most of the incremental capacityadded between 2020 and <strong>2030</strong>.Biomass, available in some quantity in all U.S.regions, provides desirable baseload and intermediate-loadcapacity. In the high renewables case, thelargest increase in generation relative <strong>to</strong> the referencecase is seen for biomass, which nearly doubles in<strong>2030</strong>. Geothermal resources are limited <strong>to</strong> the West,and despite limited opportunities for expansion, generationincreases by 39 percent from 2004 <strong>to</strong> <strong>2030</strong>.Generation from wind power, <strong>with</strong> significantexpansion in the reference case over current capacity,increases by a modest 15 percent over the referencecase in <strong>2030</strong>, and there is little or no increase ingeneration from solar and hydropower. Even <strong>with</strong> theassumptions of reduced costs, nonhydropower renewablesaccount for less than 6 percent of <strong>to</strong>tal generationin <strong>2030</strong> in the high renewables case.84 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Natural Gas DemandIncreases in Natural Gas Use AreModerated by High PricesFigure 71. Natural gas consumption by sec<strong>to</strong>r,1990-<strong>2030</strong> (trillion cubic feet)12His<strong>to</strong>ry<strong>Projections</strong>U.S. Natural Gas Consumption Growsthe Most East of the Mississippi RiverFigure 72. Increases in natural gas consumptionby Census division, 2004-<strong>2030</strong> (percent per year)New England10864IndustrialElectricitygenera<strong>to</strong>rsResidentialCommercialMiddle AtlanticSouth AtlanticEast North CentralEast South CentralWest North CentralWest South Central201990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>TransportationIn the AEO<strong>2006</strong> reference case, <strong>to</strong>tal natural gas consumptionincreases from 22.4 trillion cubic feet in2004 <strong>to</strong> 26.9 trillion cubic feet in <strong>2030</strong>. Most of theincrease is seen before 2017, when <strong>to</strong>tal U.S. naturalgas consumption reaches just under 26.5 trillion cubicfeet. After 2017, high natural gas prices limit consumption<strong>to</strong> about 27 trillion cubic feet through <strong>2030</strong>.Consequently, the natural gas share of <strong>to</strong>tal energyconsumption drops from 23 percent in 2004 <strong>to</strong> 21 percentin <strong>2030</strong>.Currently, high natural gas prices discourage the constructionof new natural-gas-fired electricity generationplants. As a result, only 130 gigawatts of newnatural-gas-fired capacity is added from year-end2004 through <strong>2030</strong>, as compared <strong>with</strong> 154 gigawattsof new coal-fired capacity. Natural gas consumptionin the electric power sec<strong>to</strong>r peaks at 7.5 trillion cubicfeet in 2019, then starts falling as new coal-fired electricitygeneration increasingly displaces natural-gasfiredgeneration. Natural gas use for electricity generationdeclines <strong>to</strong> 6.4 trillion cubic feet in <strong>2030</strong> (Figure71).With natural gas prices remaining relatively highthroughout the projection period, consumption ofnatural gas in the industrial sec<strong>to</strong>r gas grows slowly,from 8.5 trillion cubic feet in 2004 <strong>to</strong> 10.0 trillioncubic feet in <strong>2030</strong>. Natural gas consumption increasesin all the major industrial sec<strong>to</strong>rs, <strong>with</strong> the exceptionof the refining industry. High prices also limit consumptionincreases in the buildings sec<strong>to</strong>r (residentialand commercial), where natural gas use growsfrom 7.9 trillion cubic feet in 2004 <strong>to</strong> 9.6 trillion cubicfeet in <strong>2030</strong>.MountainPacific0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4From 2004 <strong>to</strong> <strong>2030</strong>, 60 percent of the projectedgrowth in lower 48 end-use consumption of naturalgas occurs east of the Mississippi River (Figure 72).Variation in regional growth rates for natural gasconsumption results from different prospects for populationgrowth, economic activity, and natural-gas-firedelectricity generation. The most rapidincreases in natural gas consumption, averaging 1.3percent per year from 2004 through <strong>2030</strong>, are in theSouth Atlantic and East South Central Census divisions.In the West North Central division, consumptiongrows by 1.0 percent per year, and growth ratesin the other Census divisions are less than that,including annual averages of 0.5 percent in New England,0.7 percent in the Middle Atlantic, 0.8 percent inthe East North Central, 0.5 percent in the West SouthCentral, 0.8 percent in the Mountain, and 0.3 percentin the Pacific divisions.The Rocky Mountain and Alaska regions providemost of the increase in domestic natural gas productionfrom 2004 <strong>to</strong> <strong>2030</strong>. Because 60 percent of the projectedgrowth in natural gas consumption occurs eas<strong>to</strong>f the Mississippi River, new natural gas pipelines arebuilt from supply regions in the West <strong>to</strong> meet naturalgas demand in the East, including a North SlopeAlaska pipeline. An exception is the construction ofnew pipeline capacity originating in the Rocky Mountains<strong>to</strong> provide its increasing production <strong>to</strong> PacificCoast markets. Also, some additional pipeline constructionis expected <strong>to</strong> provide new LNG terminalsaccess <strong>to</strong> the major consumption markets and <strong>to</strong> linkdeepwater natural gas production <strong>to</strong> major onshoretransmission pipelines.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 85


Natural Gas SupplyUnconventional Production Becomesthe Largest Source of U.S. Gas SupplyNet Imports of Natural Gas Growin the <strong>Projections</strong>Figure 73. Natural gas production by source,1990-<strong>2030</strong> (trillion cubic feet)108His<strong>to</strong>ry<strong>Projections</strong>Lower 48 NAunconventionalFigure 74. Net U.S. imports of natural gasby source, 1990-<strong>2030</strong> (trillion cubic feet)54His<strong>to</strong>ry<strong>Projections</strong>OverseasLNG642Lower 48 ADAlaska01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>Lower 48 NAconventionalonshoreLower 48 NAoffshoreA large proportion of the onshore lower 48 conventionalnatural gas resource base has been discovered.New reservoir discoveries are expected <strong>to</strong> be smallerand deeper, and thus more expensive and riskier <strong>to</strong>develop and produce. Much of the onshore lower 48nonassociated (NA) conventional natural gas productionin the reference case comes from existing largefields, as lower 48 NA onshore conventional naturalgas production declines from 4.8 trillion cubic feet in2004 <strong>to</strong> 4.2 trillion cubic feet in <strong>2030</strong> (Figure 73). Productionof associated-dissolved (AD) natural gas fromlower 48 crude oil reserves also declines, from 2.4 trillioncubic feet in 2004 <strong>to</strong> 2.3 trillion cubic feet in <strong>2030</strong>.Incremental production of lower 48 onshore naturalgas production comes primarily from unconventionalresources, including coalbed methane, tight sands<strong>to</strong>nes,and gas shales. Lower 48 unconventional productionincreases from 7.5 trillion cubic feet in 2004<strong>to</strong> 9.5 trillion cubic feet in <strong>2030</strong>.Considerable natural gas resources remain in the offshoreGulf of Mexico, especially in the deep waters.Deepwater natural gas production in the Gulf of Mexicoincreases from 1.8 trillion cubic feet in 2004 <strong>to</strong> apeak of 3.2 trillion cubic feet in 2014, then declines <strong>to</strong>2.1 trillion cubic feet in <strong>2030</strong>. Production in the shallowerwaters of the Gulf of Mexico declines throughoutthe projection period, from 2.4 trillion cubic feetin 2004 <strong>to</strong> 1.8 trillion cubic feet in <strong>2030</strong>.The Alaska pipeline begins transporting natural gas<strong>to</strong> the lower 48 States in 2015. In <strong>2030</strong>, Alaska’s naturalgas production <strong>to</strong>tals 2.1 trillion cubic feet.321Canada0Mexico-11990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>With U.S. natural gas production declining, importsof natural gas rise <strong>to</strong> meet increasing domesticconsumption. A decline in Canada’s non-Arctic conventionalnatural gas production is only partiallyoffset by its Arctic and unconventional production.Although a MacKenzie Delta natural gas pipeline isexpected <strong>to</strong> begin transporting natural gas in 2011 inthe reference case, net imports from Canada fall from3.2 trillion cubic feet in 2004 <strong>to</strong> 1.5 trillion cubic feetin 2019. After 2019, net imports from Canada begin <strong>to</strong>increase, as unconventional production eventuallyoffsets the decline in conventional production. Netimports of natural gas from Canada <strong>to</strong>tal 1.8 trillioncubic feet in <strong>2030</strong>.Most of the projected growth in U.S. natural gasimports is in the form of LNG, some of which flowsin<strong>to</strong> the United States by pipeline from Mexico.The <strong>to</strong>tal capacity of U.S. LNG receiving terminalsincreases rapidly, from 1.4 trillion cubic feet in 2004<strong>to</strong> 4.9 trillion cubic feet in 2015, when net LNGimports <strong>to</strong>tal 3.1 trillion cubic feet. Construction ofnew LNG terminals slows after 2015. With terminalcapacity of 5.8 trillion cubic feet in <strong>2030</strong>, U.S. netLNG imports <strong>to</strong>tal 4.4 trillion cubic feet (Figure 74).Net exports of U.S. natural gas <strong>to</strong> Mexico decreasefrom 2004 through 2011, as new LNG terminals arebuilt in Mexico. After 2011 U.S. net exports of naturalgas <strong>to</strong> Mexico increase, <strong>to</strong> 560 billion cubic feet in<strong>2030</strong>.86 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Natural Gas PricesProjected Natural Gas PricesRemain Above His<strong>to</strong>rical LevelsFigure 75. Lower 48 natural gas wellhead prices,1990-<strong>2030</strong> (2004 dollars per thousand cubic feet)10 His<strong>to</strong>ry <strong>Projections</strong>Delivered Natural Gas PricesFollow Trends in Wellhead PricesFigure 76. Natural gas prices by end-use sec<strong>to</strong>r,1990-<strong>2030</strong> (2004 dollars per thousand cubic feet)14 His<strong>to</strong>ry <strong>Projections</strong>864212108642ResidentialCNG vehiclesCommercialIndustrialElectricityWellhead01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>In the reference case, wellhead natural gas pricesdecline from current levels <strong>to</strong> an average of $4.46(2004 dollars) per thousand cubic feet in 2016, thenrise <strong>to</strong> $5.92 per thousand cubic feet in <strong>2030</strong> (Figure75). Current high prices for natural gas are expected<strong>to</strong> accelerate the construction of new LNG terminalcapacity, resulting in a significant increase in <strong>to</strong>talU.S. LNG receiving capacity by 2015. High naturalgas prices are also expected <strong>to</strong> increase support forthe construction of an Alaska natural gas pipelinethat begins operations in 2015, and <strong>to</strong> stimulateproduction of unconventional natural gas. On thedemand side, high prices reduce the growth of naturalgas consumption.As a result of the development of new natural gassupplies and slower growth in consumption, wellheadnatural gas prices decline through 2016. After 2016,as the cost of developing the remaining U.S. naturalgas resource base increases, wellhead natural gasprices increase. World LNG prices also increase after2016 in the reference case, slowing the growth of U.S.LNG imports.01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>Trends in delivered natural gas prices largely reflectchanges in wellhead prices. In the reference case,prices for natural gas delivered <strong>to</strong> the end-use sec<strong>to</strong>rsdecline through 2016 as wellhead prices decline, thenincrease along <strong>with</strong> wellhead prices (Figure 76).On average, end-use transmission and distributionmargins remain relatively constant, because the cos<strong>to</strong>f adding new facilities largely offsets the reduceddepreciation expenses of existing facilities. Transmissionand distribution margins in the end-use sec<strong>to</strong>rsreflect both the volumes of natural gas delivered andthe infrastructure arrangements of the different sec<strong>to</strong>rs.The industrial and electricity generation sec<strong>to</strong>rshave the lowest end-use prices, because they receivemost of their natural gas directly from interstatepipelines, avoiding local distribution charges. In addition,summer-peaking electricity genera<strong>to</strong>rs reducetransmission costs by using interruptible transportationservices during the summer, when there is sparepipeline capacity. As power genera<strong>to</strong>rs take a largershare of the natural gas market, however, they areexpected <strong>to</strong> rely more on higher cost firm transportationservice.The reference case assumes that sufficient transmissionand distribution capacity will be built <strong>to</strong> accommodatethe growth in natural gas consumption. Iffuture public opposition were <strong>to</strong> prevent the buildingof new infrastructure, delivered prices could behigher than projected in the reference case.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 87


Natural Gas Alternative CasesTechnology Advances Could ModerateFuture Natural Gas PricesFigure 77. Lower 48 natural gas wellhead pricesin three technology cases, 1990-<strong>2030</strong>(2004 dollars per thousand cubic feet)10His<strong>to</strong>ry<strong>Projections</strong>Natural Gas Supply <strong>Projections</strong>Reflect Technological Progress RatesFigure 78. Natural gas production and net importsin three technology cases, 1990-<strong>2030</strong>(trillion cubic feet)25His<strong>to</strong>ry<strong>Projections</strong>Rapid technology86Slow technologyReferenceRapid technology2015ProductionReferenceSlow technology41025Net importsSlow technologyReferenceRapid technology01990 1995 2004 2010 2020 <strong>2030</strong>Technological progress affects natural gas productionby reducing production costs and expanding the economicallyrecoverable gas resource base. An exampleis the relatively recent development of technologiesfor producing unconventional natural gas resources,which allow previously uneconomical deposits <strong>to</strong> beproduced profitably, whereas 50 years ago industrytechnology was capable of exploiting only conventionaldeposits.In the slow oil and gas technology case, advances inexploration and production technologies are assumed<strong>to</strong> be 50 percent slower than those assumed in thereference case, which are based on his<strong>to</strong>rical rates.As a result, domestic natural gas development costsare higher, production is lower, wellhead prices arehigher at $6.36 per thousand cubic feet in <strong>2030</strong>(Figure 77), natural gas consumption is reduced, andLNG imports are higher than in the reference case.The rapid technology case assumes 50 percent fastertechnology progress than in the reference case,resulting in lower development costs, higher productionlevels, lower wellhead prices ($5.20 per thousandcubic feet in <strong>2030</strong>), increased consumption of naturalgas, and lower LNG imports than in the referencecase. Technically recoverable natural gas resources(Table 17) are expected <strong>to</strong> be adequate <strong>to</strong> support thehigher production levels in the rapid technology case[91].Table 17. Technically recoverable U.S. natural gasresources as of January 1, 2004 (trillion cubic feet)Proved Unproved Total189.0 1,115.0 1,304.001990 1995 2004 2010 2020 <strong>2030</strong>In the rapid technology case, lower wellhead pricesfor natural gas lead <strong>to</strong> increased consumption andlower import levels. Natural gas production increases<strong>to</strong> meet the increased demand (Figure 78). In <strong>2030</strong>,natural gas production is 24.4 trillion cubic feet(17 percent higher than in the reference case), netnatural gas imports are 4.4 trillion cubic feet (20 percentlower), and domestic natural gas consumption is29.4 trillion cubic feet (9 percent higher).In the slow technology case, higher wellhead pricesreduce domestic consumption of natural gas, increasenatural gas imports, and reduce domestic production.In <strong>2030</strong>, natural gas production is 18.8 trillion cubicfeet (10 percent lower than in the reference case), netnatural gas imports are 6.4 trillion cubic feet (14 percenthigher), and domestic natural gas consumptionis 25.6 trillion cubic feet (5 percent lower).Canada’s natural gas production also varies <strong>with</strong>changes in assumptions about technological progressrates. In the rapid technology case, U.S. imports ofnatural gas from Canada in <strong>2030</strong> increase <strong>to</strong> 2.0 trillioncubic feet, 10 percent higher than in the referencecase. In the slow technology case, imports fromCanada in <strong>2030</strong> fall <strong>to</strong> 1.5 trillion cubic feet, 16 percentlower than in the reference case.Lower domestic prices for natural gas reduce netimports of LNG, and higher prices increase netimports. In the rapid and slow technology cases, netLNG imports in <strong>2030</strong> are 3.2 and 5.3 trillion cubicfeet, respectively, compared <strong>with</strong> 4.4 trillion cubicfeet in the reference case.88 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Natural Gas Alternative CasesNatural Gas Prices Vary WithAssumptions About Resource LevelsFigure 79. Lower 48 natural gas wellhead pricesin three price cases, 1990-<strong>2030</strong> (2004 dollarsper thousand cubic feet)10 His<strong>to</strong>ry<strong>Projections</strong>864High priceReferenceLow priceLNG Imports Are the Source of SupplyMost Affected in the Price CasesFigure 80. Net imports of liquefied natural gasin three price cases, 1990-<strong>2030</strong> (trillion cubic feet)10864His<strong>to</strong>ry<strong>Projections</strong>Low priceReference22High price01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>The high and low price cases assume that theunproven domestic natural gas resource base is 15percent lower and 15 percent higher, respectively,than the estimates used in the reference case. As theestimate of the domestic natural gas resource baseincreases, projected natural gas prices decline,because the more abundant resource base keepsnatural gas exploration and production costs lowerover time. With the lower resource level in the highprice case, the wellhead price for natural gas in <strong>2030</strong>rises <strong>to</strong> $7.71 per thousand cubic feet (2004 dollars),30 percent higher than in the reference case ($5.92per thousand cubic feet). In the low price case, <strong>with</strong> ahigher resource level, the wellhead price in <strong>2030</strong> falls<strong>to</strong> $4.97 per thousand cubic feet in <strong>2030</strong>, 16 percentlower than in the reference case (Figure 79).The high and low price cases affect domestic consumption,production, and imports. In the high pricecase, domestic natural gas consumption in <strong>2030</strong> is2.9 trillion cubic feet (11 percent) lower than in thereference case. In the low price case, domestic naturalgas consumption in <strong>2030</strong> is 4.2 trillion cubic feet(16 percent) higher than in the reference case.Demand for natural gas in the electricity generationsec<strong>to</strong>r is more responsive <strong>to</strong> prices than demand inthe other end-use sec<strong>to</strong>rs and shows more variationin the two natural gas price cases. In <strong>2030</strong>, naturalgas consumption in the electric power sec<strong>to</strong>r variesfrom 4.0 trillion cubic feet in the high price case <strong>to</strong>9.9 trillion cubic feet in the low price case, as compared<strong>with</strong> 6.4 trillion cubic feet in the reference case.01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>Among the major sources of natural gas supply, LNGimports are the most affected in the three price cases.Net imports of LNG in the reference case are 4.4 trillioncubic feet in <strong>2030</strong>; in the low price case netimports in <strong>2030</strong> increase <strong>to</strong> 7.4 trillion cubic feet, andin the high price case they fall <strong>to</strong> 1.9 trillion cubic feet(Figure 80).Higher world oil prices are expected <strong>to</strong> result in a shiftaway from petroleum consumption and <strong>to</strong>ward naturalgas consumption in all sec<strong>to</strong>rs of the internationalenergy market. In addition, some LNG contractprices are tied directly <strong>to</strong> crude oil prices, puttingfurther upward pressure on LNG prices. Finally,higher oil prices are expected <strong>to</strong> promote increases inGTL production, which in turn would lead <strong>to</strong> moreprice pressure on world natural gas supplies. In thehigh price case, the result is higher prices for naturalgas and LNG, both in the United States and internationally,reducing U.S. LNG imports, new LNGreceiving capacity, and the utilization rates for existingLNG terminals.With higher and lower wellhead prices for natural gasin the high and low price cases, domestic consumptionis reduced or increased by about the same amount asLNG imports. As a result, domestic natural gas productiondoes not vary significantly among the threecases. From 18.5 trillion cubic feet in 2004, U.S. naturalgas production increases <strong>to</strong> 20.8 trillion cubic feetin <strong>2030</strong> in the reference case, 21.2 trillion cubic feet inthe high price case, and 21.4 trillion cubic feet in thelow price case.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 89


Natural Gas Alternative CasesLNG Supply Cases AddressUncertainty in Future LNG ImportsFigure 81. Net imports of liquefied natural gasin three LNG supply cases, 1990-<strong>2030</strong>(trillion cubic feet)10 His<strong>to</strong>ry<strong>Projections</strong>High LNGLNG Import Levels Have a DirectEffect on Domestic Natural Gas PricesFigure 82. Lower 48 natural gas wellhead pricesin three LNG supply cases, 1990-<strong>2030</strong>(2004 dollars per thousand cubic feet)8 His<strong>to</strong>ry<strong>Projections</strong>864Reference64Low LNGReferenceHigh LNG2Low LNG201990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>The AEO<strong>2006</strong> reference case assumes that two LNGterminals under construction as of August 1, 2005,will be completed: the Cheniere <strong>Energy</strong> terminals inFreeport, Texas (1.5 billion cubic feet per day), andCameron Parish, Louisiana (2.6 billion cubic feet perday), <strong>with</strong> assumed in-service dates of 2008 and 2009,respectively. The reference case also assumes expansionsat three of the four existing terminals, includinga proposed expansion of 0.8 billion cubic feet per dayat Cove Point, Maryland, and approved expansions of1.1 billion cubic feet per day at Lake Charles, Louisiana,and 0.54 billion cubic feet per day at Elba Island,Ge<strong>org</strong>ia. In addition, the reference case assumes thatnew facilities will be built <strong>to</strong> serve the Gulf Coast,Southern California, Florida, and New England.High and low LNG supply cases were developed <strong>to</strong>examine the impacts of variations in LNG supply ondomestic natural gas supply, consumption, andprices. The low LNG supply case assumes a futurelevel of LNG imports 30 percent lower than in thehigh price case, <strong>with</strong> imports in <strong>2030</strong> at 1.3 trillioncubic feet, compared <strong>with</strong> 4.4 trillion cubic feet in thereference case (Figure 81). The high LNG supply caseassumes future LNG imports 30 percent higher thanin the low price case, <strong>with</strong> imports in <strong>2030</strong> at 9.6 trillioncubic feet.01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>In the high LNG supply case, domestic natural gasproduction and wellhead prices are lower than thosein the reference case, and natural gas consumption ishigher. In <strong>2030</strong>, natural gas wellhead prices in thehigh LNG case are 10 percent lower than in the referencecase, at $5.35 per thousand cubic feet (Figure82), and natural gas production is 8 percent lowerthan in the reference case, at 19.1 trillion cubic feet.Domestic natural gas consumption in <strong>2030</strong> in thehigh LNG case is 12 percent higher than in the referencecase, at 30.1 trillion cubic feet.In the low LNG supply case the <strong>to</strong>tal supply of naturalgas <strong>to</strong> U.S. consumers is less than in the referencecase, leading <strong>to</strong> higher prices, lower consumption, andmore domestic natural gas production. In <strong>2030</strong>, naturalgas wellhead prices in the low LNG case are 7 percenthigher than in the reference case, at $6.36thousand cubic feet, natural gas production is 6 percenthigher, at 22.0 trillion cubic feet, and domesticnatural gas consumption is 6 percent lower, at 25.3trillion cubic feet.Lower and higher wellhead prices for natural gas inthe high and low LNG supply cases have the greatestimpact on natural gas consumption in the electricpower sec<strong>to</strong>r, both because of its high projectedgrowth rate and because of the competition betweencoal and natural gas. In the high LNG case, naturalgas consumption for electricity generation in <strong>2030</strong> is44 percent higher than in the reference case, at 9.2trillion cubic feet, and in the low LNG case it is 21 percentlower than in the reference case, at 5.0 trillioncubic feet.90 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Oil Prices and ProductionOil Prices Decline in the Short Term,Then Rise Through <strong>2030</strong>Figure 83. World oil prices in the reference case,1990-<strong>2030</strong> (2004 dollars per barrel)70 His<strong>to</strong>ry <strong>Projections</strong>Domestic Crude Oil ProductionBegins To Decline After 2016Figure 84. Domestic crude oil production by source,1990-<strong>2030</strong> (million barrels per day)8 His<strong>to</strong>ry<strong>Projections</strong>60504030201001990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>The world oil price in AEO<strong>2006</strong> is defined as theweighted average price of all crude oil containing lessthan 0.5 percent sulfur by weight that is imported byU.S. refiners. The price projection in the referencecase is based on the mean conventional petroleumresource estimate (Table 18) reported by the USGSand the U.S. Minerals Management Service [92]. Thereference case assumes that the Arctic National WildlifeRefuge (ANWR) will continue <strong>to</strong> be off limits <strong>to</strong>petroleum exploration and development.In the AEO<strong>2006</strong> reference case, as new oil fields arebrought in<strong>to</strong> production worldwide, world oil pricesdecline <strong>to</strong> $46.90 per barrel (2004 dollars) in 2014,then rise <strong>to</strong> $56.97 in <strong>2030</strong> (Figure 83). The increaseafter 2014 reflects rising costs for the developmentand production of non-OPEC oil resources. There isconsiderable uncertainty associated <strong>with</strong> the priceprojections, related <strong>to</strong> world economic growth, worldoil demand, OPEC’s long-term oil production policies,and international political stability.Table 18. Technically recoverable U.S. crude oilresources as of January 1, 2004 (billion barrels)Proved Unproved Total23.1 124.1 147.2642Alaska01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>TotalLower 48 onshoreDeepwater offshoreShallow water offshoreA large proportion of the <strong>to</strong>tal U.S. resource base ofonshore conventional oil has been produced, and newoil reservoir discoveries are likely <strong>to</strong> be smaller, moreremote, and increasingly costly <strong>to</strong> exploit. Whilehigher oil prices make it economical <strong>to</strong> produce highercost resources, lower 48 onshore oil productiondeclines in the reference case from 2.9 million barrelsper day in 2004 <strong>to</strong> 2.3 million barrels per day in <strong>2030</strong>(Figure 84).The remaining onshore conventional oil resourcebase is not expected <strong>to</strong> provide significant new suppliesof oil, <strong>with</strong> the exception of production from theNational Petroleum Reserve in Alaska. Oil productionin the Reserve begins in 2007, increases <strong>to</strong> a peakof 458,000 barrels per day in 2016, and declinesthereafter. As a result, Alaska’s <strong>to</strong>tal oil production—which falls from 906,000 barrels per day in 2004 <strong>to</strong>828,000 barrels per day in 2007—rebounds <strong>to</strong> 902,000barrels per day in 2014 before beginning a steadydecline <strong>to</strong> 274,000 barrels per day in <strong>2030</strong>.Considerable oil resources remain in the offshore,especially in the deep waters of the Gulf of Mexico. Oilproduction in the shallow waters of the Gulf, startingfrom 0.4 million barrels per day in 2004, slips <strong>to</strong> 0.3million barrels per day in <strong>2030</strong>, while deepwater productionincreases from 1.0 million barrels per day in2004 <strong>to</strong> a peak of 2.2 million barrels per day in 2016and then declines <strong>to</strong> 1.7 million barrels per day in<strong>2030</strong>. As a result, <strong>to</strong>tal U.S. offshore oil productionincreases from 1.6 million barrels per day in 2004 <strong>to</strong>2.5 million barrels per day in 2016, then falls back <strong>to</strong>2.0 million barrels per day in <strong>2030</strong>.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 91


Oil Price CasesPrice Cases Assess AlternativeFutures for World Oil MarketFigure 85. World oil prices in three cases, 1990-<strong>2030</strong>(2004 dollars per barrel)10080604020His<strong>to</strong>ry<strong>Projections</strong>01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>High priceReferenceLow priceThe high and low price cases reflect different assumptionsabout the size of the conventional world oilresource, and they project different market shares forOPEC and non-OPEC oil production. The high pricecase assumes that the world conventional crude oilresource base is 15 percent smaller than the USGSmean oil resource estimate. In the high price case,world oil production reaches 102 million barrels perday in <strong>2030</strong>, <strong>with</strong> OPEC contributing 31 percent of<strong>to</strong>tal world oil production. World oil prices increase <strong>to</strong>$76.30 per barrel (2004 dollars) in 2015 and $95.71per barrel in <strong>2030</strong> (Figure 85).The low price case assumes that the conventionalworldwide oil resource base is 15 percent larger thanthe USGS mean estimate. In the low price case, worldoil production reaches 128 million barrels per day in<strong>2030</strong>, <strong>with</strong> OPEC contributing 40 percent of <strong>to</strong>talworld oil production. World oil prices, in terms of theaverage price of imported low-sulfur crude oil <strong>to</strong> U.S.refiners, drop <strong>to</strong> $33.78 per barrel in 2015 and remainrelatively stable thereafter.U.S. Oil Production is MarginallySensitive <strong>to</strong> World Oil PricesFigure 86. Total U.S. petroleum production in threeprice cases, 1990-<strong>2030</strong> (million barrels per day)12108642His<strong>to</strong>ry<strong>Projections</strong>01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>High priceReferenceLow priceThe high price case assumes that conventionaldomestic oil resources are 15 percent less than in thereference case, and the low price case assumes theyare 15 percent greater. The difference has a directeffect on the cost and availability of newly developeddomestic oil supplies. A higher (or lower) oil price alsoinduces more (or less) exploration activity and thedevelopment of more (or less) expensive oil resources.In all cases, a significant portion of <strong>to</strong>tal domestic oilproduction comes from large, existing oil fields, suchas the Prudhoe Bay Field.Oil prices also determine whether unconventional oilproduction (such as oil shale, CTL, and GTL) is economical,as illustrated in the alternative price cases.CTL production is projected in both the reference andhigh price cases; however, GTL production andsyncrude production from oil shale, both of whichrequire higher prices before they become economical,are projected only in the high price case.With higher oil prices, unconventional sources of oilbecome economical, and unconventional productionincreases. In the high price case, <strong>to</strong>tal conventionaland unconventional domestic petroleum production(including NGL and refinery processing gain) in <strong>2030</strong>is 20 percent higher than in the reference case, at10.3 million barrels per day. In the low price case,<strong>to</strong>tal production is 10 percent lower than in thereference case, at 7.7 million barrels per day in <strong>2030</strong>(Figure 86).92 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Oil Price and Technology CasesU.S. Syncrude Production FromOil Shale Requires Higher Oil PricesFigure 87. U.S. syncrude production from oil shalein the high price case, 2004-<strong>2030</strong>(thousand barrels per day)500More Rapid Technology AdvancesCould Raise U.S. Oil ProductionFigure 88. Total U.S. crude oil productionin three technology cases, 1990-<strong>2030</strong>(million barrels per day)104008300<strong>2006</strong>4Rapid technologyReferenceSlow technology100202004 2010 2015 2020 2025 <strong>2030</strong>In the United States, the commercial viability ofsyncrude produced from oil shale largely depends onoil prices. Although the production costs for oil shalesyncrude decline through <strong>2030</strong> in all cases, it becomeseconomical only in the high price case, <strong>with</strong> productionstarting in 2019 and increasing <strong>to</strong> 405,000 barrelsper day in <strong>2030</strong>, when it represents 4 percent ofU.S. petroleum production, including NGL and refineryprocessing gain (Figure 87).Production costs for oil shale syncrude are highlyuncertain. Development of this domestic resourcecame <strong>to</strong> a halt in the mid-1980s, during a period of lowoil prices. The cost assumptions used in developingthe projections represent an oil shale industrybased on underground mining and surface re<strong>to</strong>rting;however, the development of a true in situ re<strong>to</strong>rtingtechnology could substantially reduce the cost of producingoil shale syncrude.The development of U.S. oil shale resources is alsouncertain from an environmental perspective. Oilshale costs will remain highly uncertain until thepetroleum industry builds a demonstration project.An oil shale industry based on underground miningand surface re<strong>to</strong>rting could face considerable publicopposition because of its potential environmentalimpacts, involving scenic vistas, waste rock disposaland remediation, and water availability and contamination.Consequently, there is a high level ofuncertainty in the projection for oil shale syncrudeproduction in the high price case.His<strong>to</strong>ry<strong>Projections</strong>01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>The rapid and slow oil and gas technology casesassume rates of technological progress in the petroleumindustry that are 50 percent higher and 50 percentlower, respectively, than the his<strong>to</strong>rical rate. Therate of technological progress determines the cost ofdeveloping and producing the remaining domestic oilresource base. Higher (or lower) rates of technologicalprogress result in lower (or higher) oil developmentand production costs, which in turn allow more (orless) oil production.With domestic oil consumption determined largely byoil prices and economic growth rates, oil consumptiondoes not change significantly in the technology cases.Domestic crude oil production in <strong>2030</strong>, which is4.6 million barrels per day in the reference case,increases <strong>to</strong> 4.9 million barrels per day in the rapidtechnology case and drops <strong>to</strong> 4.2 million barrels perday in the slow technology case (Figure 88). The projectedchanges in domestic oil production result indifferent projections for petroleum imports. In <strong>2030</strong>,projected net crude oil and petroleum productimports range from 16.7 million barrels per day in therapid technology case <strong>to</strong> 17.7 million barrels per dayin the slow technology case, as compared <strong>with</strong> 17.2million barrels per day in the reference case. U.S.dependence on petroleum imports in <strong>2030</strong> rangesfrom 61 percent in the rapid technology case <strong>to</strong> 64percent in the slow technology case.Cumulatively, from 2004 through <strong>2030</strong>, U.S. <strong>to</strong>talcrude oil production is projected <strong>to</strong> be 1.9 billion barrels(3.8 percent) higher in the rapid technology caseand 2.1 billion barrels (4.1 percent) lower in the slowtechnology case than in the reference case.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 93


ANWR Alternative Oil CaseDrilling in ANWR Could SustainAlaska’s Oil ProductionANWR Oil Production Could LowerU.S. Net Oil Imports Through <strong>2030</strong>Figure 89. Alaskan oil production in thereference and ANWR cases, 1990-<strong>2030</strong>(million barrels per day)2.01.5Figure 90. U.S. net imports of oil in thereference and ANWR cases, 1990-<strong>2030</strong>(million barrels per day)2015ReferenceANWR case1.0ANWR case100.5His<strong>to</strong>ry<strong>Projections</strong>0.01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>ReferenceWhether Federal oil and natural gas leasing inANWR will ever occur remains uncertain. The AEO-<strong>2006</strong> ANWR alternative case suggests the potentialimpact of opening ANWR <strong>to</strong> leasing. The ANWR caseuses the same assumptions as the reference case,except that oil and natural gas development and productionare allowed in ANWR, starting in 2005.The opening of ANWR <strong>to</strong> development in 2005 resultsin the initiation of ANWR oil production in 2015. Oilproduction from ANWR grows <strong>to</strong> a peak of 780,000barrels per day in 2024, then declines <strong>to</strong> 650,000 barrelsper day in <strong>2030</strong>. In the reference case, <strong>with</strong> no oilproduction from ANWR, Alaska’s <strong>to</strong>tal oil productiongrows <strong>to</strong> 900,000 barrels per day in 2014 and thendeclines <strong>to</strong> 270,000 barrels per day in <strong>2030</strong>. In theANWR case, Alaskan oil production rises <strong>to</strong> 1.4 millionbarrels per day in 2021 and then falls <strong>to</strong> 930,000barrels per day in <strong>2030</strong> (Figure 89).World oil prices are slightly lower in the ANWR casethan in the reference case. The largest difference is79 cents per barrel in 2024 (in 2004 dollars), whenANWR oil production is at its peak. After 2024, asANWR production declines, the difference narrows <strong>to</strong>68 cents per barrel in <strong>2030</strong>.5His<strong>to</strong>ry<strong>Projections</strong>01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>The opening of ANWR <strong>to</strong> Federal oil and natural gasleasing increases domestic oil production. In the referencecase, U.S. <strong>to</strong>tal crude oil production peaks in2010 at 5.9 million barrels per day, then declines <strong>to</strong>4.6 million barrels per day in <strong>2030</strong>. In the ANWR case,<strong>to</strong>tal domestic oil production peaks in 2020 at 6.2 millionbarrels per day and then falls <strong>to</strong> 5.2 million barrelsper day in <strong>2030</strong>.Every additional barrel of oil produced in ANWReffectively displaces a barrel of imported crude oil. In2024, when ANWR production peaks in the alternativecase, the import share of <strong>to</strong>tal domestic petroleumsupply is 57 percent (14.7 million barrels perday), compared <strong>with</strong> 60 percent (15.4 million barrelsper day) in the reference case (Figure 90). In <strong>2030</strong>,when ANWR production is declining, the importshare of <strong>to</strong>tal domestic petroleum supply is 60 percentin the ANWR case and 62 percent in the referencecase.Although the opening of ANWR <strong>to</strong> Federal oil andnatural gas leasing reduces projected oil prices, theimpact on domestic oil consumption is negligible. In2024, when projected ANWR oil production is highestand the reduction in oil prices is largest, domesticconsumption of petroleum products is only about60,000 barrels per day higher in the ANWR case thanin the reference case. The difference in domestic oilconsumption is the same in <strong>2030</strong>.94 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Refined Petroleum ProductsTransportation Uses Lead Growthin Petroleum ConsumptionFigure 91. Consumption of petroleum products,1990-<strong>2030</strong> (million barrels per day)3025201510His<strong>to</strong>ry<strong>Projections</strong>TotalMo<strong>to</strong>rgasolineExpansion at Existing RefineriesIncreases U.S. Refining CapacityFigure 92. Domestic refinery distillation capacity,1990-<strong>2030</strong> (million barrels per day)2520151015.7His<strong>to</strong>ry16.9<strong>Projections</strong>17.6 17.9 18.1 18.519.35OtherDistillateJet fuel0Residual1990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>501990 2004 2010 2015 2020 2025 <strong>2030</strong>Between 70 and 74 percent of U.S. petroleum use isfor transportation, and much of the projected growthin domestic consumption reflects growth in the use oftransportation fuels (Figure 91). Gasoline, distillatefuel (ultra-low-sulfur diesel), and jet fuel are the maintransportation fuels. In the AEO<strong>2006</strong> reference case,improvements in technology increase the efficiency ofmo<strong>to</strong>r vehicles and aircraft, but growth in demand foreach mode of transit far outpaces increases in fuelefficiency, as transportation demand grows in proportion<strong>to</strong> increases in population and GDP.In the residential sec<strong>to</strong>r, the use of distillate for homeheating declines as natural gas and LPG are usedincreasingly as substitutes. Both burn more cleanlythan distillate, eliminating the annual maintenancethat is needed for an oil-fired furnace or boiler. Naturalgas, where available, is more convenient than distillateor LPG.In the industrial and commercial sec<strong>to</strong>rs, distillate isused as a fuel for heating and for diesel engines. In thenear term, high prices for distillate lead <strong>to</strong> fuelswitching away from heating oil; but as prices moderate,there is some switching back <strong>to</strong> distillate forheating uses.Residual fuel is blended from the heaviest crude oilcomponents. Undiluted residual fuel is used <strong>to</strong> powerships and electricity plants. Residual fuel diluted <strong>with</strong>distillate is used <strong>to</strong> fire boilers and <strong>to</strong> power somelocomotives. Residual fuel consumption declinesin the reference case as environmental restrictionstighten, and because refiners find it more attractive<strong>to</strong> upgrade residual fuel <strong>to</strong> lighter products.Distillation capacity at U.S. refineries expands in thereference case (Figure 92) as demand for refinedpetroleum products increases. More than 30 yearshave passed since a new U.S. refinery was built, andmost of the expansion occurs at existing sites. Althoughit is not difficult technically for refiners andrefinery process developers <strong>to</strong> expand the capacity ofexisting units, obtaining permits is difficult, and gettingpermits <strong>to</strong> build a new refinery is even harder.Nonetheless, a startup company has announced plans<strong>to</strong> open a major new refinery in Arizona in 2010.The most basic refinery operation is atmosphericdistillation of crude oil. Crude oil is heated <strong>to</strong> about750 degrees Fahrenheit and then fed in<strong>to</strong> a <strong>to</strong>werwhere it separates in<strong>to</strong> fractions according <strong>to</strong> the boilingpoints of the many compounds it contains. Theseparated fractions are sent on <strong>to</strong> other units inthe refinery for further processing and, ultimately,blending in<strong>to</strong> finished products.Other processing units in a refinery generally expandat about the same rate as distillation capacity; however,tighter product specifications, poorer crude oilquality, and dwindling demand for residual fuelincrease the capacity needed for two processes, cokingand hydrotreating. Coking is used <strong>to</strong> break the heaviestfractions of crude oil in<strong>to</strong> elemental carbon, orcoke, and lighter fractions. Material used in the cokerwould otherwise be usable only as residual fuel orasphalt. Hydrotreating capacity, which is used <strong>to</strong> takesulfur out of petroleum products, allows refiners <strong>to</strong>meet tighter limits on sulfur content and <strong>to</strong> runhigher sulfur crude oils through their refineries.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 95


Refined Petroleum ProductsImports of Petroleum ProductsIncrease With Rising U.S. DemandFigure 93. U.S. petroleum product demand anddomestic petroleum supply, 1990-<strong>2030</strong>(million barrels per day)30252015105His<strong>to</strong>ry<strong>Projections</strong>DemandSupplyU.S. Mo<strong>to</strong>r Gasoline Prices Rise andFall With Changes in World Oil PriceFigure 94. Components of retail gasoline prices,2004, 2015, and <strong>2030</strong> (2004 dollars per gallon)2.52.01.51.00.5World oil priceTotal priceWholesaleDistributionState taxesFederal taxes01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>0.02004 2015 <strong>2030</strong>U.S. petroleum market regulations before the 1980sencouraged the U.S. refinery industry <strong>to</strong> overinvestin capacity. In the 1980s, deregulation encouragedthe shutdown of inefficient refineries, and strongdemand growth in response <strong>to</strong> the low oil prices ofthe late 1980s and the 1990s eliminated any excesscapacity that remained. In the AEO<strong>2006</strong> referencecase, refinery utilization increases from 93 percent in2004 <strong>to</strong> 95 percent in <strong>2030</strong>. In the 1980s, capacity utilizationat U.S. refineries averaged only 69 percent.The most advantageous locations for refineries arenear crude oil production sites or where demand forpetroleum products is concentrated. As both a majorproducer and consumer of petroleum products, theUnited States has a large refinery complex, but U.S.demand for petroleum exceeded domestic productionlong ago, and the Nation has been a net importer ofcrude oil for more than 50 years (Figure 93).In the reference case, demand for refined productscontinues <strong>to</strong> increase more rapidly than refiningcapacity, and petroleum product imports increase <strong>to</strong>fill the gap. His<strong>to</strong>rically, the availability of productimports has been limited by a lack of foreign refineriescapable of meeting the stringent U.S. standardsfor petroleum products. More recently, petroleumdemand has grown rapidly in Eastern Europe andAsia, and those nations are moving <strong>to</strong> adopt the samequality standards as the developed world. As a result,refineries throughout the world are becoming moresophisticated, and more of them will be able <strong>to</strong> provideproducts suitable for the U.S. market in thefuture, which they may do if it is profitable.Changes in crude oil prices have a direct impact onwholesale prices for petroleum products. In the referencecase, the world price (the price of importedlow-sulfur light crude oil in 2004 dollars) reachs a lowof $47.79 per barrel in 2015, then begins a slowincrease that continues <strong>to</strong> a level of $56.97 per barrelin <strong>2030</strong>. The U.S. average gasoline price in 2015 is$2.00 per gallon and $2.19 per gallon in <strong>2030</strong> (Figure94). Accordingly, the wholesale price makes up 69percent of the retail price for transportation gasolinein 2015 and 73 percent in <strong>2030</strong>. In comparison, fortransportation diesel fuel, the wholesale price is 71percent of the retail price in 2015 and 74 percent in<strong>2030</strong>.The most recent increase in the Federal excise tax onmo<strong>to</strong>r fuels was enacted in 1993. Consistent <strong>with</strong> his<strong>to</strong>ricaltrends, State taxes on gasoline decline slightlyin real terms in the reference case, and Federal taxesdecline substantially. As a result, Federal taxes ongasoline and highway diesel in <strong>2030</strong> are only 52 percen<strong>to</strong>f their 2004 levels. State and Federal taxesmake up 19 percent of retail gasoline prices in 2015and 16 percent in <strong>2030</strong>. For transportation diesel,taxes make up 20 percent of the retail price in 2015and 16 percent in <strong>2030</strong>.96 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Ethanol and Synthetic FuelsU.S. Demand for Ethanol Fuel VariesWith World Oil Price <strong>Projections</strong>Figure 95. U.S. ethanol fuel consumption in threeprice cases, 1995-<strong>2030</strong> (billion gallons per year)1510His<strong>to</strong>ry<strong>Projections</strong>High priceReferenceLow priceSynthetic Fuel Production GrowsRapidly in the High Price CaseFigure 96. Coal-<strong>to</strong>-liquids and gas-<strong>to</strong>-liquidsproduction in two price cases, 2004-<strong>2030</strong>(million barrels per day)2.01.5High price51.00.5Reference01995 2000 2004 2010 2015 2020 2025 <strong>2030</strong>EPACT2005 repealed the oxygenate requirementfor Federal RFG. The only economically feasible oxygenatesare ethanol and MTBE. It is easier <strong>to</strong> meetthe other requirements for RFG, such as volatilityand aromatics emissions limits, <strong>with</strong> MTBE; however,MTBE readily contaminates groundwater whenblended gasoline is leaked or spilled. Refiners see therepeal of the oxygenate requirement as increasingtheir liability for MTBE pollution of water. They areexpected <strong>to</strong> s<strong>to</strong>p making and blending MTBE by 2008,but ethanol blending in<strong>to</strong> RFG is expected <strong>to</strong> continue,because ethanol is a clean, high-octane blendingcomponent that can be used <strong>to</strong> replace MTBE.Ethanol is a substitute for hydrocarbons, and whencrude oil prices increase, more ethanol is used <strong>to</strong> meetdemand for gasoline (Figure 95). In <strong>2030</strong>, ethanolblending in<strong>to</strong> gasoline ranges from about 5 percent ofthe gasoline pool in the low price case <strong>to</strong> almost 9 percentin the high price case.Virtually all the fuel ethanol produced in the UnitedStates is distilled from corn. EPACT2005 requires theuse of 250 million gallons per year of ethanol distilledfrom cellulosic materials, starting in 2012. Decliningcorn prices in real terms and improvements in grainethanol technology prevent further penetration ofcellulosic ethanol use in the reference case. Corn ethanolproduction is near practical limits in the referencecase, however, and production of ethanol fromcellulose feeds<strong>to</strong>cks begins in 2010. In the high pricecase, cellulosic ethanol production exceeds the levelmandated in EPACT2005.0.02004 2010 2015 2020 2025 <strong>2030</strong>GTL and CTL processes are used <strong>to</strong> convert naturalgas and coal, respectively, in<strong>to</strong> high-quality blendingcomponents for diesel fuel. Naphthas, waxes, andlubrication oil components are produced asbyproducts.Per unit of capacity, CTL and GTL plants are moreexpensive <strong>to</strong> construct than are petroleum refineries.The natural gas needed <strong>to</strong> feed a GTL plant is alsoexpensive. In the reference case, the cost of naturalgas makes GTL unattractive, and no U.S. plants arebuilt by <strong>2030</strong>. Coal, however, is much cheaper thannatural gas, and CTL fuels enter the market in 2011(Figure 96). CTL production in <strong>2030</strong> <strong>to</strong>tals 760,000barrels per day in the reference case and makes up 13percent of distillate fuel supply.Higher crude oil prices encourage the substitution ofnatural gas and coal for oil. In the high price case,GTL enters the market in 2020, and productiongrows <strong>to</strong> 194,000 barrels per day in <strong>2030</strong>. CTL productiongrows <strong>to</strong> 1.69 million barrels per day in <strong>2030</strong>in the high price case. Together, GTL and CTL provide32 percent of the Nation’s distillate fuel supply in<strong>2030</strong> in the high price case. Neither GTL nor CTLfuels are economically feasible in the low price case.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 97


Coal Supply and DemandMarket Share of Western CoalContinues To IncreaseFigure 97. Coal production by region, 1970-<strong>2030</strong>(million short <strong>to</strong>ns)2,0001,5001,000500His<strong>to</strong>ry<strong>Projections</strong>01970 1985 1995 2004 2015 <strong>2030</strong>TotalWestAppalachiaInteriorU.S. coal production has remained near 1,100 million<strong>to</strong>ns annually since 1996. In the AEO<strong>2006</strong> referencecase, increasing coal use for electricity generation atexisting plants and construction of a few new coalfiredplants lead <strong>to</strong> annual production increases thataverage 1.1 percent per year from 2004 <strong>to</strong> 2015, when<strong>to</strong>tal production is 1,272 million <strong>to</strong>ns. The growth incoal production is even stronger thereafter, averaging2.0 percent per year from 2015 <strong>to</strong> <strong>2030</strong>, as substantialamounts of new coal-fired generating capacity areadded, and several CTL plants are brought on line.Western coal production, which has grown steadilysince 1970, continues <strong>to</strong> increase through <strong>2030</strong>(Figure 97), especially in the Powder River Basin,where vast reserves are contained in thick seamsaccessible <strong>to</strong> surface mining. Easing of rail transportationbottlenecks will be needed for producers in theWest <strong>to</strong> exploit the market opportunities presentedby slow growth in Appalachian coal production and bydemand for coal at new power plants built <strong>to</strong> serveelectricity markets in the Southwest and California.Appalachian coal production remains nearly flat inthe reference case. Although producers in CentralAppalachia are well situated geographically <strong>to</strong> supplycoal <strong>to</strong> new generating capacity in the Southeast, theAppalachian basin has been mined extensively, andproduction costs have been increasing more rapidlythan in other regions. The Eastern Interior coal basin(Illinois, Indiana, and western Kentucky), <strong>with</strong> extensivereserves of mid- and high-sulfur bituminouscoals, does benefit from the new builds of coal-firedgenerating capacity in the Southeast.More Eastern Power PlantsAre Expected To Use Western CoalFigure 98. Distribution of domestic coal by demandand supply region, 2003 and <strong>2030</strong> (million short<strong>to</strong>ns)Supply regionAppalachiaInteriorWestTotalSupply regionAppalachiaInteriorWestTotalEastern demand regionWestern demand region0 200 400 600 800 1,0002003<strong>2030</strong>In the reference case, low-cost Western coal continues<strong>to</strong> gain market share east of the Mississippi River andremains the dominant supplier in markets west of theMississippi River (Figure 98). Use of low-sulfur Westerncoal continues <strong>to</strong> increase through <strong>2030</strong>, eventhough 141 gigawatts of existing coal-fired capacity isretrofitted <strong>with</strong> flue gas desulfurization equipmentand another 174 gigawatts of new environmentallycompliant coal-fired capacity is built. Even in theabsence of sulfur compliance costs, Western coal isthe lowest cost fuel option for electricity generation inmany areas of the country. As a result, each year typicallysees more coal-fired plants switching <strong>to</strong> Westerncoal, particularly from the Powder River Basin. In2004, approximately 20 plants, many located east ofthe Mississippi River, used Powder River Basin coalfor the first time.Although two new pieces of environmental legislationenacted in 2005, CAIR and CAMR, will increase thecost of coal-fired generation, they have only minorimpacts on overall coal use in the electric power sec<strong>to</strong>ror regional coal production patterns. As a result of thestricter caps on SO 2 emissions in CAIR, allowanceprices increase substantially, virtually eliminating by<strong>2030</strong> the use of medium- and high-sulfur coals (containingmore than 0.6 pounds sulfur per million Btu)at power plants not equipped <strong>with</strong> scrubbers. In 2004,medium- and high-sulfur coals accounted for about 40percent of the 638 million <strong>to</strong>ns of coal consumed atgenerating units <strong>with</strong>out scrubbers [93]. In <strong>2030</strong>,coal-fired power plants <strong>with</strong>out scrubbers consumeonly 233 million <strong>to</strong>ns.98 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Coal Mine Employment and Coal PricesCoal Mine Employment IncreasesAs Production ExpandsFigure 99. U.S. coal mine employment by region,1970-<strong>2030</strong> (number of jobs)250,000200,000150,000100,000His<strong>to</strong>ry<strong>Projections</strong>Total50,000AppalachiaWest0Interior1970 1985 1995 2004 2015 <strong>2030</strong>Most jobs in the U.S. coal industry remain east of theMississippi River, mainly in the Appalachian region(67 percent in 2004). Most coal production, however,occurs west of the Mississippi River (56 percent in2004), <strong>with</strong> the major share from the Powder RiverBasin. As coal demand increases, pressure <strong>to</strong> keepprices low will shift more production <strong>to</strong> mines <strong>with</strong>higher labor productivity. Large surface mines in thePowder River Basin take advantage of economies ofscale, using large earth-moving equipment and combiningadjacent mines <strong>to</strong> increase operating flexibility.Underground mines in the Northern Appalachiaand Rocky Mountain supply regions use highly productiveand increasingly au<strong>to</strong>mated longwall equipment<strong>to</strong> maximize production while reducing thenumber of miners required.In the reference case, labor productivity remains nearcurrent levels in most coal supply regions, reflectingthe trend of the past 5 years. Higher stripping ratiosand the additional labor needed <strong>to</strong> maintain moreextensive underground mines offset productivitygains achieved from improved equipment, au<strong>to</strong>mation,and technology. Productivity in some areas ofthe East declines as operations move <strong>to</strong> marginalreserve areas. Regula<strong>to</strong>ry restrictions on surfacemines and fragmentation of underground reserveslimit the benefits that can be achieved by Appalachianproducers from economies of scale.Some 27,000 additional mining jobs are createdbetween 2004 and <strong>2030</strong> (Figure 99). In the East, joblosses in Central Appalachia are more than offset byadditional jobs at more productive mines in NorthernAppalachia.Average Minemouth Coal PricesIncrease SlowlyFigure 100. Average minemouth price of coal byregion, 1990-<strong>2030</strong> (2004 dollars per short <strong>to</strong>n)7060504030201021.76Average price(nominal dollars) 40.791990 <strong>2030</strong>His<strong>to</strong>ry<strong>Projections</strong>01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>AppalachiaInteriorU.S. averageWestFrom 1990 <strong>to</strong> 1999, the average minemouth priceof coal declined by 4.9 percent per year, from $29.09per <strong>to</strong>n (2004 dollars) <strong>to</strong> $18.54 per <strong>to</strong>n (Figure 100).Increases in U.S. coal mining productivity of 6.3 percentper year during the period helped <strong>to</strong> reducemining costs and contributed <strong>to</strong> the decline in prices.Since 1999, growth in U.S. coal mining productivityhas slowed <strong>to</strong> 0.6 percent per year, and the averageminemouth coal price has increased by 1.6 percentper year, <strong>to</strong> $20.07 per <strong>to</strong>n in 2004.In the reference case, the average minemouth coalprice drops slightly from 2010 <strong>to</strong> 2020, as mine capacityutilization declines and production shifts awayfrom higher cost Central Appalachian mines. After2020, rising natural gas prices and the need forbaseload generating capacity result in the constructionof 126 gigawatts of new coal-fired generatingplants (72 percent of all coal builds from 2004 <strong>to</strong> <strong>2030</strong>in the reference case), and production in most of themajor coal supply basins increases. The substantialinvestment in new mining capacity required <strong>to</strong> meetincreasing demand during the period, combined <strong>with</strong>low productivity growth and rising utilization of miningcapacity, leads <strong>to</strong> an increase in the averageminemouth price, from $20.20 per <strong>to</strong>n in 2020 <strong>to</strong>$21.73 per <strong>to</strong>n in <strong>2030</strong>. Strong growth in productionin the Interior and Western supply regions, combined<strong>with</strong> limited improvement in coal mining productivity,results in minemouth price increases of 1.4 and1.2 percent per year, respectively, in those regionsfrom 2004 through <strong>2030</strong>. With little increase in production,average minemouth prices in Appalachiaincrease by only 0.1 percent per year over the sameperiod.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 99


Coal Transportation and ImportsRising Regional Coal TransportationRates Depart from His<strong>to</strong>rical TrendDemand for Imported Coal Increasesin the East and SoutheastFigure 101. Changes in regional coaltransportation rates, 2010, 2025, and <strong>2030</strong>(percent increase from 2004 rates)1086Eastern coalWestern coalFigure 102. U.S. coal exports and imports,1970-<strong>2030</strong> (million short <strong>to</strong>ns)12510075His<strong>to</strong>ry<strong>Projections</strong>Imports450225Exports02010 2025 <strong>2030</strong>01970 1985 1995 2004 2015 <strong>2030</strong>Coal transportation rates (in constant 2004 dollars),rise in the reference case, ending the decreasing trendof the past 20 years. His<strong>to</strong>rically, infrastructureinvestments and subsequent overcapacity, as well asthe efficiency gains associated <strong>with</strong> consolidation ofthe railroad industry, have steadily reduced coaltransportation rates. Productivity improvementscontinue in the forecast, but they are dampened bylarger demands on rail infrastructure and an expectationthat investments will be made incrementally, asneeded, rather than in anticipation of higher demand.Periodic bottlenecks are likely as railroads adapt <strong>to</strong>increasing traffic flows from western mines andchanging coal distribution patterns in the East. Inconstant dollars, coal transportation costs peak in2010, then fall <strong>to</strong> 2.2 percent and 3.3 percent above2004 levels in <strong>2030</strong> for coal originating in the Westand East, respectively (Figure 101). In general, westernsuppliers are at a greater disadvantage than easternsuppliers when transportation rates rise, becausewestern coal typically travels over longer distances.Despite the increases in transportation rates, thenational average continues <strong>to</strong> decline, because 76 percen<strong>to</strong>f the increase in demand from 2004 <strong>to</strong> <strong>2030</strong> isfrom CTL plants and new electric power plants, manyof which are expected <strong>to</strong> be built near sources of coalsupply. In <strong>2030</strong>, the average coal transportation ratefor new electric power capacity is $7.14 per short <strong>to</strong>n(2004 dollars), compared <strong>with</strong> $8.63 for existingcapacity.U.S. imports of low-sulfur coal rise from 27 million<strong>to</strong>ns in 2004 <strong>to</strong> 99 million <strong>to</strong>ns in <strong>2030</strong> (Figure 102).In addition <strong>to</strong> further displacement of more expensiveCentral and Southern Appalachian coal at existingpower plants, imports fuel some of the new coal-firedgenerating capacity expected <strong>to</strong> be built in the U.S.East and Southeast. Much of the additional import<strong>to</strong>nnage originates from mines in Colombia, Venezuela,and Indonesia.U.S. coal exports have been in steady decline fromtheir 1996 level of 90 million <strong>to</strong>ns, falling <strong>to</strong> 40 million<strong>to</strong>ns in 2002, despite a substantial increase in worldcoal trade (from 503 million <strong>to</strong>ns <strong>to</strong> 656 million <strong>to</strong>ns).Low-cost supplies of coal from China, Colombia, Indonesia,Russia, and Australia satisfied much of thegrowth in international demand for steam coal duringthe period, and low-cost supplies of coking coal fromAustralia supplanted substantial amounts of U.S.coking coal in world markets. Since 2002, however,U.S. exports have rebounded, including increases insteam coal exports <strong>to</strong> Canada in 2003 and coking coal<strong>to</strong> overseas cus<strong>to</strong>mers in 2004.Although U.S. exports remain near their 2004 levelfor the next several years, their share of <strong>to</strong>tal worldcoal trade ultimately falls from 6 percent in 2004 <strong>to</strong>1 percent in <strong>2030</strong>, as international competition intensifiesand imports of coal <strong>to</strong> Europe and the Americas(excluding the United States) grow more slowlyor decline. With the planned decommissioning ofOntario’s five coal-fired generating plants, U.S. coalexports <strong>to</strong> Canada decline from 19 million <strong>to</strong>ns in2004 <strong>to</strong> 7 million <strong>to</strong>ns in <strong>2030</strong>.100 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Coal ConsumptionCoal-Fired Genera<strong>to</strong>rs Can ComplyWith CAIR and CAMRFigure 103. Electricity and other coal consumption,1970-<strong>2030</strong> (million short <strong>to</strong>ns)2,0001,5001,000His<strong>to</strong>ry<strong>Projections</strong>TotalElectricityEmerging Coal-<strong>to</strong>-Liquids IndustryIncreases Industrial Coal UseFigure 104. Coal consumption in the industrial andbuildings sec<strong>to</strong>rs and at coal-<strong>to</strong>-liquids plants,2004, 2015, and <strong>2030</strong> (million short <strong>to</strong>ns)200150100Coke plantsOther industrialCoal-<strong>to</strong>-liquidsResidential/commercial500Coal-<strong>to</strong>-liquids0Other1970 1985 1995 2004 2015 <strong>2030</strong>5002004 2015 <strong>2030</strong>EPA’s CAIR and CAMR regulations tighten restrictionson emissions of SO 2 and NO x and, for the firsttime, address mercury emissions from electric powerplants. Even <strong>with</strong> the new regulations, however, theaverage capacity utilization of coal-fired power plantsrises from 72 percent in 2004 <strong>to</strong> 80 percent in 2012.Coal-fired power plants fitted <strong>with</strong> emissions controlequipment remain competitive <strong>with</strong> natural-gas-firedgenera<strong>to</strong>rs because of their lower fuel costs. Coal consumptionin the electric power sec<strong>to</strong>r rises <strong>to</strong> 1.5 billion<strong>to</strong>ns in <strong>2030</strong> (Figure 103). To comply <strong>with</strong> CAIRand CAMR, selective catalytic reduction equipment isadded <strong>to</strong> 118 gigawatts of coal-fired capacity between2004 and <strong>2030</strong> in the reference case, flue gasdesulfurization equipment is added <strong>to</strong> 141 gigawatts,and supplemental fabric filters are added <strong>to</strong> 126gigawatts between 2004 and <strong>2030</strong>. Activated carbon,a sorbent added <strong>to</strong> post-combustion flue gases <strong>to</strong>remove mercury, is also used in some plants.In the projections, a mix of advanced IGCC and conventionalcoal-fired capacity is built in the electricpower sec<strong>to</strong>r; 55 percent of the 154 gigawatts of newcoal capacity is IGCC, which has low emissions ofboth SO 2 and mercury. A typical IGCC plant mayremove 99 percent of the sulfur and 95 percent of themercury present in bituminous coal. In addition, sustainedhigh world oil prices combined <strong>with</strong> competitivecoal prices stimulate investment in 19 gigawattsof CTL capacity, requiring 190 million <strong>to</strong>ns of coal peryear, by <strong>2030</strong>. SO 2 and mercury emissions from CTLplants are comparable <strong>with</strong> those from IGCC plants.Although the electric power sec<strong>to</strong>r accounts for thebulk of U.S. coal consumption, 89 million <strong>to</strong>ns of coalcurrently is consumed in the industrial and buildings(residential and commercial) sec<strong>to</strong>rs (Figure 104). Inthe industrial sec<strong>to</strong>r, steam coal is used <strong>to</strong> manufactureor produce cement, paper, chemicals, food, primarymetals, and synthetic fuels; as a boiler fuel <strong>to</strong>produce process steam and electricity; as a directsource of heat; and as a feeds<strong>to</strong>ck. Coal consumptionin the other industrial sec<strong>to</strong>r (excluding production ofcoal-based synthetic liquids) increases slightly in theAEO<strong>2006</strong> reference case.Coal is also used <strong>to</strong> produce coke, which in turn isused as a source of energy and as a raw material inputat blast furnaces <strong>to</strong> produce iron. A continuing shiftfrom coke-based production at integrated steel mills<strong>to</strong> electric arc furnaces, combined <strong>with</strong> a relativelyflat outlook for U.S. steel production, leads <strong>to</strong> a slightdecline in consumption of coal at coke plants.Outside the electric power sec<strong>to</strong>r, most of the increasein coal demand in the reference case is for productionof coal-based synthetic liquids. High world oil pricesspur investment in the CTL industry, leading <strong>to</strong> theconstruction of new plants in the West and Midwestthat produce just under 0.8 million barrels of liquidsper day in <strong>2030</strong>. In AEO<strong>2006</strong>, CTL technology is representedas an IGCC coal plant equipped <strong>with</strong> aFischer-Tropsch reac<strong>to</strong>r <strong>to</strong> convert the synthesis gas<strong>to</strong> liquids. Of the <strong>to</strong>tal amount of coal consumed ateach plant, 49 percent of the energy input is retainedin the product, 20 percent is used for conversion,and 31 percent is used for grid-connected electricitygeneration.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 101


Coal Alternative CasesHigh Economic Growth, High Oil andGas Prices Increase Coal DemandFigure 105. Projected variation from the referencecase projection of U.S. <strong>to</strong>tal coal demand in fourcases, <strong>2030</strong> (million short <strong>to</strong>ns)4002000High economicgrowth caseOther demandCoal-<strong>to</strong>-liquidsElectric powerHigh price caseHigher Mining and TransportationCosts Reduce Demand for CoalFigure 106. Average delivered coal prices in threecost cases, 1990-<strong>2030</strong> (2004 dollars per short <strong>to</strong>n)50403020His<strong>to</strong>ry<strong>Projections</strong>High costReferenceLow cost-20010-400Low economicgrowth caseLow price case01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>In comparison <strong>with</strong> the reference case, electricitydemand is higher in the high economic growth caseand lower in the low growth case. Accordingly, coalconsumption also rises and falls in the high and lowgrowth cases, respectively (Figure 105). As in the referenceand high growth cases, the first CTL plantcomes on line in 2011 in the low economic growthcase; but <strong>to</strong>tal CTL capacity in <strong>2030</strong> in the low growthcase is only 62 percent of that in the high growth case.In the high price case, higher natural gas prices discouragenatural-gas-fired generation and boost coalfiredgeneration. Delivered natural gas prices <strong>to</strong> theelectric power sec<strong>to</strong>r in <strong>2030</strong> are $1.63 per million Btuhigher in the high price case than in the referencecase, whereas coal prices are only 10 cents per millionBtu higher than in the reference case. In the referencecase, coal fuels 57 percent of <strong>to</strong>tal electricity generationin <strong>2030</strong> in the reference case, as compared<strong>with</strong> 64 percent in the high price case and 46 percentin the low price case.Higher world oil prices in the high price case favorincreased investment in CTL, and the demand forcoal at CTL facilities increases <strong>to</strong> 20 percent of <strong>to</strong>talcoal consumption in <strong>2030</strong>. In the low price case, noCTL plants are operating in <strong>2030</strong>. Because electricitygeneration at CTL plants displaces some generationin the electric power sec<strong>to</strong>r in the high price case, coaldemand in the electric power sec<strong>to</strong>r is only 75 million<strong>to</strong>ns higher than in the reference case. In the lowprice case there is more natural-gas-fired electricitygeneration, and as a result coal demand in the electricpower sec<strong>to</strong>r is 151 million <strong>to</strong>ns lower than in the referencecase.Alternative assumptions about future coal miningand transportation costs affect coal prices and, consequently,demand. The two alternative coal cost casesdeveloped for AEO<strong>2006</strong> examine the impacts on U.S.coal markets of alternative assumptions about miningproductivity, labor costs and mine equipmentcosts on the production side, and railroad productivityand rail equipment costs on the transportationside. Adjustments of about 2.5 percent from the referencecase assumptions are based on variations in his<strong>to</strong>ricalgrowth rates for the coal mining and railtransportation industries since 1980.In the high cost case, the average delivered coal pricein <strong>2030</strong>, in constant 2004 dollars, is $45.39 per <strong>to</strong>n—50 percent higher than in the reference case (Figure106). As a result, U.S. coal consumption is 284 million<strong>to</strong>ns (16 percent) lower than in the reference case in<strong>2030</strong>, reflecting both a switch from coal <strong>to</strong> naturalgas, nuclear, and renewables in the electricity sec<strong>to</strong>rand reduced production of coal-based synthetic liquids.In the electric power sec<strong>to</strong>r, 111 gigawatts ofnew coal-fired generating capacity is built by <strong>2030</strong> inthe high cost case—63 gigawatts less than in the referencecase. CTL production in <strong>2030</strong> in the high costcase <strong>to</strong>tals only 0.2 million barrels per day, or 77 percentless than in the reference case.In the low cost case, the average delivered coal pricein <strong>2030</strong> is $21.42 per <strong>to</strong>n—29 percent lower than inthe reference case—and <strong>to</strong>tal coal consumption is 160million <strong>to</strong>ns (9 percent) higher than in the referencecase.102 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Carbon Dioxide EmissionsHigher <strong>Energy</strong> Consumption ForecastIncreases Carbon Dioxide EmissionsFigure 107. Carbon dioxide emissions by sec<strong>to</strong>r andfuel, 2004 and <strong>2030</strong> (million metric <strong>to</strong>ns)4,0008,114 Petroleum20045,900Natural gas<strong>2030</strong>Coal3,000ElectricityTotal carbon dioxideemissions2,0001,00002004 <strong>2030</strong>ResidentialCommercialIndustrialCO 2 emissions from the combustion of fossil fuels areproportional <strong>to</strong> fuel consumption. Among fossil fueltypes, coal has the highest carbon content, naturalgas the lowest, and petroleum in between. In theAEO<strong>2006</strong> reference case, the shares of these fuelschange slightly from 2004 <strong>to</strong> <strong>2030</strong>, <strong>with</strong> more coal andless petroleum and natural gas. The combined shareof carbon-neutral renewable and nuclear energy isstable from 2004 <strong>to</strong> <strong>2030</strong> at 14 percent. As a result,CO 2 emissions increase by a moderate average of 1.2percent per year over the period, slightly higher thanthe average annual increase in <strong>to</strong>tal energy use (Figure107). At the same time, the economy becomes lesscarbon intensive: the percentage increase in CO 2emissions is one-third the increase in GDP, andemissions per capita increase by only 11 percent overthe 26-year period.The fac<strong>to</strong>rs that influence growth in CO 2 emissionsare the same as those that drive increases in energydemand. Among the most significant are populationgrowth; increased penetration of computers, electronics,appliances, and office equipment; increases incommercial floorspace; growth in industrial output;increases in highway, rail, and air travel; and continuedreliance on coal and natural gas for electric powergeneration. The increases in demand for energy servicesare partially offset by efficiency improvementsand shifts <strong>to</strong>ward less energy-intensive industries.New CO 2 mitigation programs, more rapid improvementsin technology, or more rapid adoption of voluntaryprograms could result in lower CO 2 emissionslevels than projected here.TransportationElectricity generationEmissions <strong>Projections</strong> Change WithEconomic Growth AssumptionsFigure 108. Carbon dioxide emissions inthree economic growth cases, 1990-<strong>2030</strong>(million metric <strong>to</strong>ns)10,0008,0006,0004,0002,000His<strong>to</strong>ry<strong>Projections</strong>01990 2004 2010 2020 <strong>2030</strong>High growthReferenceLow growthThe high economic growth case assumes highergrowth in population, labor force, and productivitythan in the reference case, leading <strong>to</strong> higher industrialoutput, higher disposable income, lower inflation,and lower interest rates. The low economicgrowth case assumes the reverse. The spread in GDPprojections increases over time, <strong>with</strong> GDP in thealternative cases varying by about 15 percent fromthe reference case in <strong>2030</strong>.Alternative projections for industrial output, commercialfloorspace, housing, and transportation influencethe demand for energy and result in variations inCO 2 emissions (Figure 108). Emissions in <strong>2030</strong> are 10percent lower in the low growth case and 10 percenthigher in the high growth case. The strength of therelationship between economic growth and emissionsvaries by end-use sec<strong>to</strong>r. It is strongest for the industrialsec<strong>to</strong>r and, <strong>to</strong> a lesser extent, the transportationsec<strong>to</strong>r, where economic activity strongly influencesenergy use and emissions, and where fuel choices arelimited. It is weaker in the commercial and residentialsec<strong>to</strong>rs, where population and building characteristicshave large influences and vary less across thethree cases.In the electricity sec<strong>to</strong>r, changes in electricity salesacross the cases affect the amount of new, more efficientgenerating capacity required, reducing the sensitivityof energy use <strong>to</strong> GDP. However, the choice ofcoal for most new baseload capacity increases CO 2intensity in the high growth case while decreasing itin the low case, offsetting the effects of changes inefficiency across the cases.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 103


Carbon Dioxide and Sulfur Dioxide EmissionsTechnology Advances Could ReduceCarbon Dioxide EmissionsFigure 109. Carbon dioxide emissions in threetechnology cases, 2004, 2020, and <strong>2030</strong>(million metric <strong>to</strong>ns)10,0008,0006,000ReferenceHigh technology2005 technologySulfur Dioxide Emissions Fall Sharplyin Response <strong>to</strong> Tighter RegulationsFigure 110. Sulfur dioxide emissions fromelectricity generation, 1990-<strong>2030</strong>(million short <strong>to</strong>ns)20151015.9His<strong>to</strong>ry12.110.9<strong>Projections</strong>4,0002,00055.94.64.0 3.83.702004 2020 <strong>2030</strong>01990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>Future CO 2 emissions depend, in part, on the timing,effectiveness, and costs of new energy technologies.The reference case assumes continuing improvementin energy-consuming and producing technologies.The high technology case assumes earlier introduction,lower costs, and higher efficiencies for energytechnologies in the end-use sec<strong>to</strong>rs, as well asimproved costs and efficiencies for advanced fossil-firedand new renewable generating technologiesin the electric power sec<strong>to</strong>r [94]. As in the referencecase, however, technology adoption is assumed <strong>to</strong> beconsistent <strong>with</strong> past patterns of market behavior.<strong>Energy</strong> use grows more slowly in the high technologycase, <strong>with</strong> prospects for greater energy savings constrainedby gradual turnover of energy-using equipmentand buildings. Increased use of renewables andless new coal-fired generating capacity accompanythe efficiency improvements in the high technologycase. As a result, CO 2 emissions in <strong>2030</strong> are 9 percentlower in the high technology than in the referencecase, while <strong>to</strong>tal energy consumption is only 8 percentlower (Figure 109).In contrast, the 2005 technology case assumes tha<strong>to</strong>nly the equipment and vehicles available in 2005 willbe available through <strong>2030</strong>, <strong>with</strong> no further improvementsin efficiency for new building shells and electricpower plants. Consequently, more energy is used,and CO 2 emissions in <strong>2030</strong> are 9 percent higher thanin the reference case, <strong>with</strong> the difference quantifyingthe effects of technology improvement assumptionson the reference case projections.EPA’s CAIR regulation, promulgated in March 2005,caps emissions of SO 2 for the District of Columbia and28 eastern and midwestern States that were determinedby the EPA <strong>to</strong> contribute <strong>to</strong> nonattainment ofthe NAAQS for PM 2.5 and ozone. CAIR is scheduled <strong>to</strong>supersede Title IV of the Clean Air Act through theuse of a cap and trade approach. Phase I of CAIRcomes in<strong>to</strong> effect in 2010 for SO 2. Phase II takes effectin 2015. States can achieve the required emissionsreductions by using one of two compliance options:meet the State’s emissions budget by requiring powerplants <strong>to</strong> participate in an EPA-administered interstatecap and trade system that caps emissions in twostages; or meet an individual State emissions budgetthrough measures of the State’s choosing.Power companies are projected <strong>to</strong> add flue gasdesulfurization equipment <strong>to</strong> 141 gigawatts of capacityin order <strong>to</strong> comply <strong>with</strong> State or Federal initiatives.As a result of those actions and the growing useof lower sulfur coal, SO 2 emissions drop from 10.9million short <strong>to</strong>ns in 2004 <strong>to</strong> 3.7 million short <strong>to</strong>ns in<strong>2030</strong> (Figure 110). The SO 2 emissions allowanceprice rises <strong>to</strong> nearly $890 per <strong>to</strong>n in 2015 and remainsbetween $880 and $980 per <strong>to</strong>n from 2015 through<strong>2030</strong>. The reference case projections indicate thatthe level of SO 2 reductions called for in CAIR can beachieved <strong>with</strong>out significantly raising electricityprices, which are determined by many fac<strong>to</strong>rs,including natural gas prices, environmental compliancecosts, and the status of electricity deregulationactivities.104 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Nitrogen Oxide and Mercury EmissionsNitrogen Oxide Emissions FallAs New Regulations Take EffectFigure 111. Nitrogen oxide emissionsfrom electricity generation, 1990-<strong>2030</strong>(million short <strong>to</strong>ns)866.7His<strong>to</strong>ry6.4<strong>Projections</strong>New Environmental RegulationsReduce Mercury EmissionsFigure 112. Mercury emissions from electricitygeneration, 1995-<strong>2030</strong> (short <strong>to</strong>ns)60504044.5His<strong>to</strong>ry51.453.337.7<strong>Projections</strong>423.72.3 2.1 2.1 2.22.230201024.018.716.615.301990 1995 2004 2010 2015 2020 2025 <strong>2030</strong>01995 2000 2004 2010 2015 2020 2025 <strong>2030</strong>In the reference case, NO x emissions from electricitygeneration in the U.S. power sec<strong>to</strong>r fall as newregulations take effect. The required reductions areintended <strong>to</strong> reduce the formation of ground-levelozone, for which NO x emissions are a major precursor.Together <strong>with</strong> VOCs and hot weather, NO x emissionscontribute <strong>to</strong> unhealthy air quality in manyareas during the summer months.EPA’s CAIR will apply <strong>to</strong> NO x emissions from 28 easternand midwestern States and the District ofColumbia. Each State will be subject <strong>to</strong> two NO x limitsunder CAIR: a 5-month summer season limit andan annual limit. These caps are expected <strong>to</strong> stimulateadditions of emission control equipment <strong>to</strong> someexisting coal-fired power plants.National NO x emissions fall from 3.7 million short<strong>to</strong>ns in 2004 <strong>to</strong> 2.2 million short <strong>to</strong>ns in <strong>2030</strong> inthe reference case (Figure 111). The largest decreaseoccurs in 2009, when Phase I of CAIR is implemented,and there is a smaller reduction in 2015<strong>with</strong> the start of Phase II caps. Between 2009 and<strong>2030</strong>, NO x allowance prices range from roughly$2,000 <strong>to</strong> $2,500 per <strong>to</strong>n, and they are expected <strong>to</strong> behighly volatile as the emission caps tighten. Theseprojections are indicative of the general range anddirection of the allowance prices. Power companiesare expected <strong>to</strong> add selective catalytic reductionequipment <strong>to</strong> 118 gigawatts of coal-fired capacity inorder <strong>to</strong> comply <strong>with</strong> both Federal and State initiatives;however, as <strong>with</strong> the requirements for SO 2 compliance,the CAIR NO x caps are not expected <strong>to</strong> lead <strong>to</strong>significantly higher electricity prices for consumers.EPA’s CAMR regulation, also promulgated in March2005, establishes a cap and trade program <strong>to</strong> reducemercury emissions from coal-fired power plants inthe United States. In addition <strong>to</strong> nationwide caps,each new and existing coal-fired power plant mustmeet mercury emissions standards based on coaltype. Emissions of mercury must be reduced in twophases: the national Phase I mercury cap is 38 short<strong>to</strong>ns in 2010, and the Phase II cap is 15 short <strong>to</strong>ns in2018.Emissions of mercury depend on a variety of sitespecificfac<strong>to</strong>rs, including the amounts of mercuryand other compounds (such as chlorine) in the coal,the boiler type and configuration, and the presence ofpollution control equipment, such as fabric filters,electrostatic precipita<strong>to</strong>rs, flue gas desulfurization,and selective catalytic reduction equipment.The AEO<strong>2006</strong> reference case assumes that States willcomply <strong>with</strong> CAMR regulations. As a result, mercuryemissions decline from 53.3 short <strong>to</strong>ns in 2004 <strong>to</strong> 15.3short <strong>to</strong>ns in <strong>2030</strong> (Figure 112). National emissionswill be slightly higher than the Phase II cap in 2018due <strong>to</strong> the use of banked allowances from earlieryears. Electricity genera<strong>to</strong>rs are expected <strong>to</strong> retrofitabout 126 gigawatts of coal-fired capacity <strong>with</strong> ACItechnology in order <strong>to</strong> comply <strong>with</strong> the CAMR caps.Mercury allowance prices increase steadily from 2010on, <strong>to</strong> about $62,000 per pound in <strong>2030</strong>. As <strong>with</strong> theCAIR requirements for SO 2 and NO x compliance, theCAMR mercury caps are not expected <strong>to</strong> lead <strong>to</strong> significantlyhigher electricity prices for consumers.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 105


Forecast Comparisons


Forecast ComparisonsOnly GII produces a comprehensive energy projection<strong>with</strong> a time horizon similar <strong>to</strong> that of AEO<strong>2006</strong>.Other <strong>org</strong>anizations address one or more aspects ofthe energy markets. The most recent projection fromGII, as well as others that concentrate on economicgrowth, international oil prices, energy consumption,electricity, natural gas, petroleum, and coal, are comparedhere <strong>with</strong> the AEO<strong>2006</strong> projections.Economic GrowthIn the AEO<strong>2006</strong> reference case, the projected growthin real GDP, based on 2000 chain-weighted dollars, is3.0 percent per year from 2004 <strong>to</strong> <strong>2030</strong> (Table 19). Forthe period from 2004 <strong>to</strong> 2025, real GDP growth in theAEO<strong>2006</strong> reference case is similar <strong>to</strong> the averageannual growth projected in AEO2005. The AEO<strong>2006</strong>projections of economic growth are based on theAugust short-term forecast of GII, extended by EIAthrough <strong>2030</strong> and modified <strong>to</strong> reflect EIA’s view onenergy prices, demand, and production.The projected average annual GDP growth rate forthe United States from 2004 through 2010 rangesfrom 2.8 percent <strong>to</strong> 3.3 percent. The AEO<strong>2006</strong> referencecase projects annual growth of 3.3 percent,matching the average annual real GDP growth projectedby the Office of Management and Budget(OMB), the Congressional Budget Office (CBO), andthe consensus Blue Chip forecast. GII and <strong>Energy</strong>Ventures Analysis, Inc. (EVA) project real GDPgrowth at 3.2 percent per year. Two other <strong>org</strong>anizationsproject somewhat lower annual growth:Interindustry Forecasting at the University of Maryland(INFORUM) at 2.9 percent and <strong>Energy</strong> andEnvironmental Analysis, Inc. (EEA) at 2.8 percent.When the projection period is extended <strong>to</strong> 2015, theuncertainty in the projected rate of GDP growth isreflected in the wider range of the projections (2.5 <strong>to</strong>3.2 percent per year). AEO<strong>2006</strong> remains in the upperhalf of the range, whereas the CBO projection shows aconsiderable slowing of GDP growth from 2010through 2015. There are few public or private projectionsof GDP growth rates for the United States thatextend <strong>to</strong> <strong>2030</strong>. The AEO<strong>2006</strong> reference case projectionreflects a slowing of the GDP growth rate after2020, consistent <strong>with</strong> an expected slowing of populationgrowth.World Oil PricesComparisons <strong>with</strong> other oil price projections areshown in Table 20. The world oil prices in EIA’sAEO<strong>2006</strong> are generally <strong>to</strong>ward the high end of the oilprice projections. Of the nine other publicly availablelong-term projections, only two—Petroleum IndustryResearch Associates, Inc. (PIRA) and Petroleum Economics,Ltd. (PEL)—have projections of world oilprices for specific years after 2010 that exceed theAEO<strong>2006</strong> reference case projections. Four of thenine—GII, Al<strong>to</strong>s Partners (Al<strong>to</strong>s), Strategic <strong>Energy</strong>and Economic Research, Inc. (SEER), and the International<strong>Energy</strong> Agency (IEA) Reference Scenario—have prices lower than those in the AEO<strong>2006</strong> lowprice case for at least some years. All the projections—exceptfor the price forecast from Al<strong>to</strong>s, whichhas not been revised since July 2003—have raisedtheir long-term price expectations relative <strong>to</strong> lastyear’s releases.Table 19. Forecasts of annual average economicgrowth, 2004-<strong>2030</strong>Average annual percentage growthForecast 2004-2010 2010-2015 2015-2020 2020-<strong>2030</strong>AEO2005 3.2 3.1 3.0 NAAEO<strong>2006</strong>Reference 3.3 3.0 3.1 2.8Low growth 2.6 2.3 2.7 2.4High growth 3.9 3.5 3.4 3.7GII 3.2 3.0 3.0 2.8OMB 3.3 NA NA NACBO 3.3 2.6 NA NABlue Chip 3.3 3.2 NA NAINFORUM 2.9 2.5 2.6 NAEEA 2.8 2.8 2.8 2.8EVA 3.2 NA NA NANA = not available.Table 20. Forecasts of world oil prices, 2010-<strong>2030</strong>(2004 dollars per barrel)Forecast 2010 2015 2020 2025 <strong>2030</strong>AEO2005 (reference case) 27.18 28.97 30.88 32.95 NAAEO<strong>2006</strong>Reference 47.29 47.79 50.70 54.08 56.97High price 62.65 76.30 85.06 90.27 95.71Low price 40.29 33.78 33.99 34.44 33.73GII 37.82 34.06 31.53 33.50 34.50Al<strong>to</strong>s 27.58 31.14 34.02 37.89 40.03IEA (reference) 35.00 36.00 37.00 38.00 39.00IEA (deferred investment) 41.00 43.50 46.00 49.00 52.00PEL 47.84 47.84 49.80 50.77 NAPIRA 44.10 49.95 63.35 NA NAEEA 46.74 43.85 42.79 41.76 NADB 31.75 31.75 31.75 31.75 31.75SEER 29.54 31.00 32.00 34.18 36.50Delphi NA 52.50 57.50 62.50 72.50NA = not available.108 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Forecast ComparisonsThe world oil price measure does vary by projection.In some cases, the measure is the WTI spot price,Brent equivalent, weighted average U.S. refineracquisition cost of imported crude oil, or a basket ofcrude oils. For AEO<strong>2006</strong>, EIA redefined its world oilprice path <strong>to</strong> represent the average U.S. refinersacquisition price of imported low-sulfur light crude oil(see “Issues in Focus” for discussion). Those pricesare considered comparable <strong>to</strong> the WTI prices mos<strong>to</strong>ften cited in the trade press as a proxy for worldoil prices. The different price measures used in thevarious projections do not wholly explain the differentprice expectations among the projections. Forinstance, GII publishes a WTI spot price forecast thatis considerably lower than the AEO<strong>2006</strong> referencecase prices, and PIRA publishes a WTI spot price forecastthat is considerably higher than the AEO<strong>2006</strong>reference case prices in most years (Table 20).Recent variability in crude oil prices demonstratesthe uncertainty inherent in projections for crude oilmarkets. The oil price paths projected by several<strong>org</strong>anizations, including EIA, illustrate the uncertainty.For example, for 2010, the price range in theprojections is from a low of about $28 per barrel byAl<strong>to</strong>s <strong>to</strong> a high of almost $48 per barrel projected byPEL. The range in the projections widens in 2020,from a low of $32 per barrel (GII and DB) <strong>to</strong> a high of$63 per barrel (PIRA). In <strong>2030</strong>, the band of prices representedby the published projections narrows <strong>to</strong> $23per barrel, probably in part because the PIRA forecasthorizon ends in 2020.To construct the world oil price cases for AEO<strong>2006</strong>,EIA employed input from a Delphi group of energyanalysts. In August 2005, an informal, nonrandomsample of expert oil analysts from outside DOE wereinvited <strong>to</strong> participate, <strong>with</strong> the stipulation that theresponses were <strong>to</strong> reflect the analysts’ personal viewsand not necessarily the views of the <strong>org</strong>anizations<strong>with</strong> which they were affiliated. In addition, the analystswere <strong>to</strong>ld that their responses would be anonymous.Seventeen analysts were surveyed, and eightresponses were received. The median response fromthe Delphi group was generally higher than any of theother published projections, though still falling<strong>with</strong>in the range defined by the AEO<strong>2006</strong> low andhigh price cases (Table 20). The group expected oilprices <strong>to</strong> continue rising through the 2005-<strong>2030</strong> timeperiod, <strong>to</strong> nearly $73 per barrel in <strong>2030</strong>—more than$20 per barrel higher than the nearest alternative,the Deferred Investment Scenario published by IEA.Total <strong>Energy</strong> ConsumptionThe AEO<strong>2006</strong> projects higher growth in end-use sec<strong>to</strong>rconsumption of petroleum, natural gas, and coalthan occurred from 1980 <strong>to</strong> 2004 but lower growth inelectricity consumption (Table 21). Much of the projectedgrowth in petroleum consumption is driven byincreased demand in the transportation sec<strong>to</strong>r, <strong>with</strong>continued growth in personal travel and freighttransport projected <strong>to</strong> result from demographictrends and economic expansion. Natural gas consumptionis expected <strong>to</strong> increase in the residential,commercial, and industrial sec<strong>to</strong>rs, despite relativelyhigh prices. Natural gas is cleaner than other fuels,does not require on-site s<strong>to</strong>rage, and has tended <strong>to</strong> bepriced competitively <strong>with</strong> oil for heating. Coal consumptionas a boiler fuel in the commercial andindustrial sec<strong>to</strong>rs is expected <strong>to</strong> decline slightly, <strong>with</strong>potential use in new boilers limited by environmentalrestrictions; however, the projections for industrialcoal consumption include its use in CTL plants, atechnology that is expected <strong>to</strong> become competitive atthe high oil prices assumed in AEO<strong>2006</strong>.While strong growth in electricity use is projected <strong>to</strong>continue in the AEO<strong>2006</strong> projections, the pace slowsfrom his<strong>to</strong>rical rates. Some rapidly growing applications,such as air conditioning and computers, slow aspenetration approaches saturation levels. Electricalefficiency also continues <strong>to</strong> improve, due in large part<strong>to</strong> efficiency standards, and the impacts tend <strong>to</strong> accumulate<strong>with</strong> the gradual turnover of appliance s<strong>to</strong>cks.The AEO<strong>2006</strong> projections are generally consistent<strong>with</strong> the outlook from GII; however, GII projectsslightly faster growth in petroleum and natural gasconsumption and slightly slower growth in electricityTable 21. Forecasts of average annual growth ratesfor energy consumption, 2004-<strong>2030</strong> (percent)<strong>Projections</strong>His<strong>to</strong>ry<strong>Energy</strong> use 1980-2004 AEO<strong>2006</strong> GIIPetroleum* 0.9 1.2 1.3Natural gas* 0.2 0.7 0.9Coal* -1.5 2.0 -0.4Electricity 2.2 1.6 1.5Delivered energy 0.7 1.1 1.1Electricity losses 1.9 1.2 0.9Primary energy 1.0 1.2 1.1*Excludes consumption by electricity genera<strong>to</strong>rs in the electricpower sec<strong>to</strong>r; includes consumption for end-use combined heat andpower generation.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 109


Forecast Comparisonsconsumption and losses. The differences can beattributed largely <strong>to</strong> the higher oil and natural gasprices assumed in AEO<strong>2006</strong>. Differences between theAEO<strong>2006</strong> and GII projections for coal result from anincrease in coal use for CTL in AEO<strong>2006</strong>.ElectricityThe AEO<strong>2006</strong> projections for the electricity generationsec<strong>to</strong>r assume that new generating capacity willbe built by independent power producers rather thanutilities. Retail price projections are based on averagecosts for electricity supply regions that are still regulated;marginal costs for regions that are competitive;and a mixture of average and marginal costs,weighted by the amounts of load, in regions <strong>with</strong> amix of regulated and competitive markets. As of 2005,only four electricity market regions had fully competitiveretail markets in operation; seven had mixedcompetitive and regulated retail markets; and twohad fully regulated markets. The AEO<strong>2006</strong> casesassume that no additional retail markets will berestructured, but that partial restructuring (particularlyin wholesale markets) will lead <strong>to</strong> increasedcompetition in the electric power industry, loweroperating and maintenance costs, and early retiremen<strong>to</strong>f inefficient generating units.Comparison of the AEO<strong>2006</strong> and GII projectionsshows some variation in electricity sales (Table 22).The projections for <strong>to</strong>tal electricity sales in <strong>2030</strong>range from 4,828 billion kilowatthours (AEO<strong>2006</strong> loweconomic growth case) <strong>to</strong> 5,854 billion kilowatthours(AEO<strong>2006</strong> high economic growth case). The rate ofdemand growth ranges from 1.2 percent (AEO<strong>2006</strong>low economic growth) <strong>to</strong> 1.9 percent (AEO<strong>2006</strong> higheconomic growth). All price projections reflect competitionin wholesale markets and slow growth in electricitydemand relative <strong>to</strong> GDP growth, exertingdownward pressure on real electricity prices through<strong>2030</strong>. Rising natural gas and coal prices balance someof the downward pressure and tend <strong>to</strong> push electricityprices up in the later years of the projections.The AEO<strong>2006</strong> reference case shows a slight decline inreal electricity prices over the full period of the projection(except for the industrial sec<strong>to</strong>r), although averageprices increase slightly during the last severalyears as capacity margins tighten and natural gasprices climb. In contrast, GII projects a decline inelectricity prices over the second half of the projection,as lower delivered natural gas prices <strong>to</strong> genera<strong>to</strong>rs($5.08 per million Btu in the GII projection,compared <strong>with</strong> $6.26 in the AEO<strong>2006</strong> reference casein <strong>2030</strong>) contribute <strong>to</strong> a small decrease in averageelectricity prices, from 7.6 cents per kilowatthour in2015 <strong>to</strong> 7.4 cents per kilowatthour in <strong>2030</strong>. Thehigher natural gas price in the AEO<strong>2006</strong> referencecase leads <strong>to</strong> an increase in average electricity price,from 7.1 cents per kilowatthour in 2015 <strong>to</strong> 7.5 centsper kilowatthour in <strong>2030</strong>.Both the AEO<strong>2006</strong> reference case and GII projectionsinclude some planned capacity additions in the nearterm, <strong>with</strong> the AEO<strong>2006</strong> reference case expectingabout 29 gigawatts through <strong>2006</strong> and GII expectingabout 25 gigawatts. Virtually all the projected capacityadditions are natural gas fired. Both projectionsshow electricity prices falling in the near term as aresult of excess <strong>to</strong>tal capacity.Except for GII, all the projections for electricitydemand show the fastest growth in the commercialsec<strong>to</strong>r, and more additions of cycling and baseloadcapability than peaking units. All the projectionsshow significant net additions <strong>to</strong> coal-fired capacity,including 167 gigawatts through <strong>2030</strong> in the AEO-<strong>2006</strong> reference case and 136 gigawatts through <strong>2030</strong>in the GII projection. Both GII and the AEO<strong>2006</strong> referencecase project no nuclear retirements; however,each of the three AEO<strong>2006</strong> cases (reference and highand low economic growth) projects 6 gigawatts ofnuclear capacity additions by <strong>2030</strong> as a result of theincentives in EPACT2005.The fuel mix in the EVA projection differs from thatin the AEO<strong>2006</strong> reference case and the other projections.Except for EVA, all the projections show coalmeeting about one-half and natural gas about onequarterof the growth in electricity generation capacityover the projection period. The EVA projectionassumes that legislation similar <strong>to</strong> the Clear SkiesAct—including further restrictions on SO 2 ,NO x , andmercury emissions—will be in effect by 2010. TheEVA projection also includes a tax of $5 per <strong>to</strong>n onCO 2 emissions, beginning in 2013. AEO<strong>2006</strong> includesthe impact of the EPA’s new CAIR and CAMR regulations,which have environmental effects similar <strong>to</strong>those of the Clear Skies Act; however, AEO<strong>2006</strong> doesnot assume any tax on CO 2 emissions. In the EVAprojection, the combination of further environmentalrestrictions, a tax on CO 2 , and aggregate State-levelRPS requirements leads <strong>to</strong> greater growth in nonhydroelectricgeneration.110 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Forecast ComparisonsTable 22. Comparison of electricity forecasts, 2015 and <strong>2030</strong> (billion kilowatthours, except where noted)Projection 2004ReferenceAEO<strong>2006</strong>LoweconomicgrowthHigheconomicgrowthOther forecastsGII EVA EEA SEER PIRA2015Average end-use price(2003 cents per kilowatthour) 7.6 7.1 6.9 7.3 7.6 NA NA NA NAResidential 8.9 8.3 8.1 8.5 8.8 9.0 NA NA NACommercial 8.0 7.4 7.2 7.6 8.2 8.0 NA NA NAIndustrial 5.3 5.1 4.9 5.3 5.2 5.8 NA NA NANet energy for load, including CHP 3,614 4,813 4,642 4,984 4,663 4,966 4,970 4,875 4,658Coal 1,977 2,277 2,245 2,360 2,217 2,267 2,281 2,211 2,293Oil 136 120 116 126 56 37 96 126 90Natural gas a 326 1,018 929 1,069 1,080 1,286 1,323 1,238 1,004Nuclear 789 829 807 840 814 842 811 826 819Hydroelectric/other b 349 482 469 495 496 521 381 457 452Nonutility sales <strong>to</strong> grid c 26 62 57 70 NA NA 41 NA NANet imports 11 23 19 25 17 13 38 17 22Electricity sales 3,567 4,300 4,147 4,449 4,239 4,638 4,456 NA NAResidential 1,293 1,576 1,539 1,613 1,593 1,697 1,575 NA NACommercial/other d 1,253 1,620 1,583 1,650 1,493 1,718 1,602 NA NAIndustrial 1,021 1,103 1,024 1,185 1,153 1,225 1,278 NA NACapability, including CHP (gigawatts) e 965 1,002 977 1,026 1,008 1,055 1,046 NA NACoal 314 326 323 336 331 338 331 NA NAOil and natural gas 433 439 422 451 429 487 478 NA NANuclear 100 104 101 105 101 105 102 NA NAHydroelectric/other 118 133 131 134 147 125 136 NA NA<strong>2030</strong>Average end-use price(2002 cents per kilowatthour) 7.6 7.5 7.2 7.8 7.4 NA NA NA NAResidential 8.9 8.5 8.2 8.8 8.5 NA NA NA NACommercial 8.0 7.8 7.4 8.2 8.0 NA NA NA NAIndustrial 5.3 5.4 5.2 5.7 5.0 NA NA NA NANet energy for load, including CHP 3,614 6,119 5,496 6,748 5,828 NA NA 6,237 NACoal 1,977 3,381 2,835 3,897 3,032 NA NA 3,221 NAOil 136 131 121 138 27 NA NA 127 NANatural gas a 326 993 1,010 990 1,453 NA NA 1,407 NANuclear 789 871 856 871 774 NA NA 926 NAHydroelectric/other b 349 550 517 609 542 NA NA 528 NANonutility sales <strong>to</strong> grid c 26 179 143 229 NA NA NA NA NANet imports 11 14 13 15 12 NA NA 28 NAElectricity sales 3,567 5,341 4,828 5,854 5,289 NA NA NA NAResidential 1,293 1,897 1,759 2,036 2,001 NA NA NA NACommercial/other d 1,253 2,182 1,997 2,366 1,926 NA NA NA NAIndustrial 1,021 1,262 1,073 1,453 1,362 NA NA NA NACapability, including CHP (gigawatts) e 965 1,248 1,134 1,362 1,209 NA NA NA NACoal 314 481 405 555 449 NA NA NA NAOil and natural gas 433 513 483 545 501 NA NA NA NANuclear 100 109 107 109 101 NA NA NA NAHydroelectric/other 118 145 139 154 158 NA NA NA NAa Includes supplemental gaseous fuels. b “Other” includes conventional hydroelectric, pumped s<strong>to</strong>rage, geothermal, wood, wood waste,municipal waste, other biomass, solar and wind power, plus a small quantity of petroleum coke. c For AEO<strong>2006</strong>, includes only net sales fromcombined heat and power plants. d “Other” includes sales of electricity <strong>to</strong> government, railways, and street lighting authorities. e EIAcapacity is net summer capability, including combined heat and power plants. GII capacity is nameplate, excluding cogeneration plants.CHP = combined heat and power. NA = not available.Sources: 2004 and AEO<strong>2006</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runs AEO<strong>2006</strong>.D111905A (reference case), LM<strong>2006</strong>.D113005A (low economic growth case), and HM<strong>2006</strong>.D112505B (high economic growth case). GII: Global Insight, Inc., Summer 2005 U.S.<strong>Energy</strong> <strong>Outlook</strong> (August 2005). EVA: <strong>Energy</strong> Ventures Analysis, Inc., FUELCAST: Long-Term <strong>Outlook</strong> (August 2005). EEA: <strong>Energy</strong> andEnvironmental Analysis, Inc., EEA’s Compass Service Base Case (Oc<strong>to</strong>ber 2005). SEER: Strategic <strong>Energy</strong> and Economic Research, Inc.,2005 <strong>Energy</strong> <strong>Outlook</strong> (Oc<strong>to</strong>ber 2005). PIRA: PIRA <strong>Energy</strong> Group (Oc<strong>to</strong>ber 2005).<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 111


Forecast ComparisonsNatural GasPublished projections of natural gas prices, production,consumption, and imports (Table 23) differ considerably.The differences highlight the uncertaintyof future market trends. Because the projectionsdepend heavily on the underlying assumptions thatshape them, the assumptions made in each should beconsidered when they are compared.The AEO<strong>2006</strong> reference case in general projectslower <strong>to</strong>tal natural gas consumption than in the otherprojections, and it is the only one showing a period ofdecline. The exception is in the early part of the projectionperiod: in 2015, PIRA and Deutsche Bank AG(DB) project lower natural gas consumption than theAEO<strong>2006</strong> reference case, but by 2025 the AEO<strong>2006</strong>reference case projects lower consumption than anyof the others. The primary reason is that AEO<strong>2006</strong>expects a stronger demand response <strong>to</strong> higher naturalgas prices, particularly in the electricity generationsec<strong>to</strong>r.The highest projected level of <strong>to</strong>tal natural gas consumptionis in the EVA projection, due <strong>to</strong> stronggrowth in natural gas consumption for electric powerTable 23. Comparison of natural gas forecasts, 2015, 2025, and <strong>2030</strong> (trillion cubic feet, except where noted)Projection 2004AEO<strong>2006</strong>referencecaseOther forecastsGII a EEA b EVA PIRA DB SEER Al<strong>to</strong>s2015Dry gas production c 18.46 20.36 19.19 21.12 18.64 d 17.61 21.38 19.68 20.74Net imports 3.40 5.10 6.80 7.11 9.67 7.33 4.30 7.86 7.92Pipeline 2.81 2.05 e 2.17 2.82 4.78 3.28 1.75 3.00 1.82LNG 0.59 3.05 4.63 4.29 4.89 4.05 2.55 4.85 6.10Consumption 22.41 25.91 26.16 27.98 28.32 25.32 25.67 28.18 NAResidential 4.88 5.36 5.15 5.49 5.33 5.24 5.53 5.45 5.41Commercial 3.00 3.36 3.09 3.35 3.41 3.53 3.53 3.28 3.54Industrial f 7.41 8.08 7.57 g 6.98 h 7.99 i 6.61 j 8.17 7.83 7.53Electricity genera<strong>to</strong>rs k 5.32 7.14 8.44 l 10.08 m 9.42 8.01 n 6.63 9.61 9.30Other o 1.80 1.97 1.92 2.08 2.17 p 1.95 1.81 2.01 NALower 48 wellhead price(2004 dollars per thousand cubic feet) 5.49 4.52 4.73 5.91 5.53 5.55 q 5.03 4.65 4.15End-use prices(2004 dollars per thousand cubic feet)Residential 10.72 10.11 9.21 9.33 NA NA NA 9.68 NACommercial 9.38 8.37 8.11 8.57 NA NA NA 7.97 NAIndustrial f 6.29 5.32 6.09 r 6.81 NA NA NA 5.75 NAElectricity genera<strong>to</strong>rs k 6.07 5.21 5.13 6.62 NA NA NA 5.32 NA2025Dry gas production c 18.46 21.16 20.46 21.38 19.27 d NA 18.95 21.53 25.77Net imports 3.40 5.37 8.64 8.89 11.80 NA 8.19 8.47 7.69Pipeline 2.81 1.24 e 1.61 1.81 3.64 NA 4.75 1.90 0.70LNG 0.59 4.13 7.03 7.07 8.16 NA 3.44 6.57 6.99Consumption 22.41 26.99 29.28 30.33 31.08 NA 27.74 30.44 NAResidential 4.88 5.57 5.61 5.88 5.44 NA 6.11 5.89 6.09Commercial 3.00 3.77 3.34 3.56 3.76 NA 3.99 3.49 4.19Industrial f 7.41 8.51 8.14 g 7.64 h 8.95 i NA 9.03 8.37 7.73Electricity genera<strong>to</strong>rs k 5.32 7.05 10.10 l 11.14 m 10.55 NA 6.97 10.50 11.37Other o 1.80 2.08 2.09 2.12 2.38 p NA 1.64 2.19 NALower 48 wellhead price(2003 dollars per thousand cubic feet) 5.49 5.43 4.52 6.45 6.07 NA 5.03 5.13 5.67End-use prices(2003 dollars per thousand cubic feet)Residential 10.72 11.10 8.82 9.71 NA NA NA 9.92 NACommercial 9.38 9.11 7.73 8.99 NA NA NA 8.30 NAIndustrial j 6.29 6.18 5.81 r 7.22 NA NA NA 6.07 NAElectricity genera<strong>to</strong>rs o 6.07 6.02 4.90 6.86 NA NA NA 5.61 NANA = not available. See notes and sources at end of table.112 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Forecast Comparisonsgeneration. Al<strong>to</strong>s projects the strongest growth in residentialand commercial sec<strong>to</strong>r natural gas consumptionthrough both 2025 and <strong>2030</strong>, whereas the GIIand EVA projections have the lowest projected consumptionlevels. The AEO<strong>2006</strong> reference case projectionfor residential natural gas consumption in <strong>2030</strong>is lower than all but the EVA projection, but its commercialsec<strong>to</strong>r projection is higher than the GII, EVA,and SEER projections. Natural gas consumption inthe industrial and electric power sec<strong>to</strong>rs is more difficult<strong>to</strong> compare, given potential definitional differences.The combined <strong>to</strong>tal of industrial and electricpower sec<strong>to</strong>r natural gas consumption from 2004 <strong>to</strong><strong>2030</strong> is projected <strong>to</strong> grow the fastest in the EVA andAl<strong>to</strong>s projections; the DB projection shows muchslower growth but still faster than is projected in theAEO<strong>2006</strong> reference case. The DB combined <strong>to</strong>tal in<strong>2030</strong> exceeds the AEO<strong>2006</strong> reference case by lessthan 10 percent, whereas the GII, EVA, SEER, andAl<strong>to</strong>s projections all exceed the AEO<strong>2006</strong> by morethan 25 percent.Domestic natural gas production provides a decreasingshare and net imports an increasing share of <strong>to</strong>talnatural gas supply in all the projections. The EVAprojection shows the greatest increase in the netimport share of supply, at more than 41 percent of<strong>to</strong>tal supply in <strong>2030</strong>. More than 34 percent of supplyis projected <strong>to</strong> come from imports in <strong>2030</strong> in the DBprojection, and GII and SEER both show net importsTable 23. Comparison of natural gas forecasts, 2015, 2025, and <strong>2030</strong> (continued)(trillion cubic feet, except where noted)Projection 2004AEO<strong>2006</strong>referencecaseOther forecastsGII a EEA b EVA PIRA DB SEER Al<strong>to</strong>s<strong>2030</strong>Dry gas production c 18.46 20.83 21.40 NA 18.96 d NA 18.95 21.70 28.13Net imports 3.40 5.57 9.06 NA 13.30 NA 9.86 9.33 7.92Pipeline 2.81 1.22 e 1.37 NA 2.80 NA 1.75 1.00 0.20LNG 0.59 4.36 7.68 NA 10.50 NA 8.11 8.33 7.72Consumption 22.41 26.86 30.64 NA 32.39 NA 28.81 31.56 NAResidential 4.88 5.64 5.84 NA 5.49 NA 6.42 6.12 6.48Commercial 3.00 3.99 3.48 NA 3.96 NA 4.20 3.63 4.56Industrial f 7.41 8.81 8.48 g NA 9.45 i NA 9.49 8.73 7.85Electricity genera<strong>to</strong>rs k 5.32 6.38 10.67 l NA 11.01 NA 7.14 10.85 12.54Other o 1.80 2.04 2.17 NA 2.48 p NA 1.56 2.24 NALower 48 wellhead price(2004 dollars per thousand cubic feet) 5.49 5.92 4.65 NA 6.52 NA 5.02 5.42 6.30End-use prices(2004 dollars per thousand cubic feet)Residential 10.72 11.67 8.86 NA NA NA NA 10.16 NACommercial 9.38 9.58 7.79 NA NA NA NA 8.60 NAIndustrial f 6.29 6.65 5.90 r NA NA NA NA 6.37 NAElectricity genera<strong>to</strong>rs k 6.07 6.41 5.02 NA NA NA NA 5.92 NANA = not available.a February 2005 (previously DRI-WEFA). Conversion fac<strong>to</strong>rs: 1,000 cubic feet = 1.027 million Btu for production, 1.028 million Btu forend-use consumption, 1.019 million Btu for electric power. b The EEA projection shows a cyclical price trend; forecast values for an isolatedyear may be misleading. c Does not include supplemental fuels. d Includes supplemental fuels. e Includes LNG imports in<strong>to</strong> Florida via theBahamas. f Includes consumption for industrial combined heat and power (CHP) plants and a small number of electricity-only plants;excludes consumption by nonutility genera<strong>to</strong>rs. g Excludes gas used in cogeneration or other nonutility generation. h Includes natural gasconsumed in cogeneration. i Includes transportation fuel consumed in natural gas vehicles. j Excludes gas demand for nonutility generation.k Includes consumption of energy by electricity-only and CHP plants whose primary business is <strong>to</strong> sell electricity, or electricity and heat, <strong>to</strong>the public; includes electric utilities, small power producers, and exempt wholesale genera<strong>to</strong>rs. l Includes gas used in cogeneration or othernonutility generation. m Includes independent power producers; excludes cogenera<strong>to</strong>rs. n Equals the sum of natural gas demand fornonutility generation (NUG) and for utility generation. o Includes lease, plant, and pipeline fuel and fuel consumed in natural gas vehicles.p Includes lease, plant, and pipeline fuel. q Henry Hub daily cash price for natural gas, in 2004 dollars per thousand cubic feet. r On-systemsales or system gas (i.e., does not include gas delivered for the account of others).Sources: 2004 and AEO<strong>2006</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A (reference case). GII: GlobalInsight, Inc., Summer 2005 U.S. <strong>Energy</strong> <strong>Outlook</strong> (August 2005). EEA: <strong>Energy</strong> and Environmental Analysis, Inc., EEA’s Compass ServiceBase Case (Oc<strong>to</strong>ber 2005). EVA: <strong>Energy</strong> Ventures Analysis, Inc., FUELCAST: Long-Term <strong>Outlook</strong> (August 2005). PIRA: PIRA <strong>Energy</strong>Group (Oc<strong>to</strong>ber 2005). DB: Deutsche Bank AG, e-mail from Adam Sieminski on Oc<strong>to</strong>ber 31, 2005. SEER: Strategic <strong>Energy</strong> and EconomicResearch, Inc., 2005 <strong>Energy</strong> <strong>Outlook</strong> (Oc<strong>to</strong>ber 2005). Al<strong>to</strong>s: Al<strong>to</strong>s Partners North American Regional Gas Model (NARG) Long-Term BaseCase (Oc<strong>to</strong>ber 7, 2005).<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 113


Forecast Comparisonsproviding about 30 percent of <strong>to</strong>tal natural gas supply.The AEO<strong>2006</strong> reference case and Al<strong>to</strong>s projectthat net imports will meet the smallest share of <strong>to</strong>talsupply—21 percent and 22 percent, respectively—in<strong>2030</strong>. Most of the projections show a notable declinein pipeline imports over the forecast period. Only DBshows an increase from 2015 <strong>to</strong> 2025. EVA’s pipelineimport projection, although significantly greater thanthe rest, also declines after 2015. Much of the variationin imports reflects different projections of netLNG imports in <strong>2030</strong>, ranging from a low of 4.4 trillioncubic feet in the AEO<strong>2006</strong> reference case <strong>to</strong> 10.5trillion cubic feet in the EVA projection.The AEO<strong>2006</strong> reference case projections for wellheadnatural gas prices in 2025 and <strong>2030</strong> fall <strong>with</strong>in therange of the other projections, <strong>with</strong> the EEA, EVA,and Al<strong>to</strong>s projections higher than AEO<strong>2006</strong> and theothers lower. In the earlier years, however, all theprojections <strong>with</strong> the exception of Al<strong>to</strong>s show wellheadnatural gas prices exceeding those in the AEO<strong>2006</strong>reference case. Of the three projections that projectend-use prices for <strong>2030</strong> (AEO<strong>2006</strong>, GII, and SEER),the AEO<strong>2006</strong> reference case and SEER show thehighest end-use-<strong>to</strong>-wellhead margins for the electricpower sec<strong>to</strong>r ($0.50 and $0.51, respectively). TheAEO<strong>2006</strong> reference case shows the lowest end-use<strong>to</strong>-wellheadmargins for the industrial sec<strong>to</strong>r. WhileGII’s margins for the electric power sec<strong>to</strong>r are thelowest, some of the difference may be definitional. Forthe residential and commercial sec<strong>to</strong>rs, the projectedmargins in the AEO<strong>2006</strong> reference case exceed theother projections by more than 15 percent.PetroleumAs discussed earlier in this report, crude oil pricesin the AEO<strong>2006</strong> reference case are substantiallyhigher than they were in earlier AEOs. They arealso considerably higher than those in most of theother projections. The AEO<strong>2006</strong> reference case showsthe weighted average refiners acquisition cost ofimported crude oil (the price basis used in most of theother forecasts) ranging from $43 <strong>to</strong> $50 per barrel(2004 dollars) between 2015 and <strong>2030</strong> and the averagerefiners acquisition cost of imported low-sulfurlight crude oil (the reference price used in AEO<strong>2006</strong>)ranging from $48 <strong>to</strong> $57 per barrel (2004 dollars) overthe same period. DB assumes that the refiners acquisitioncost of crude oil will average $31.75 per barrelfrom 2010 through <strong>2030</strong>; GII assumes that the refinersacquisition cost of crude oil will be between $28and $31 per barrel from 2015 through <strong>2030</strong>. PIRAgives its oil price forecast in terms of WTI, alow-sulfur, light crude oil, assuming prices of $50 perbarrel in 2015 and $63 per barrel in 2020.Despite much lower crude oil price projections, GIIand DB project gasoline consumption levels that areessentially the same as those in the AEO<strong>2006</strong> referencecase (Table 24). The GII and DB projections f<strong>org</strong>asoline demand are <strong>with</strong>in 1 percent of the AEO<strong>2006</strong>reference case from 2015 <strong>to</strong> <strong>2030</strong>. PIRA sees slowergrowth in gasoline demand, 14 percent below theAEO<strong>2006</strong> reference case in 2015, due <strong>to</strong> more rapidimprovement in vehicle efficiency.In comparison <strong>with</strong> the AEO<strong>2006</strong> reference case, projecteddistillate consumption is about 2 percent lowerin the DB and PIRA projections in 2015 and 5 percentlower in <strong>2030</strong> in the DB projection. GII also projectslower levels of distillate consumption than theAEO<strong>2006</strong> reference case, 6 percent less in 2015 and13 percent less in <strong>2030</strong>. Most of the variation isaccounted for by the projected level of highway dieselconsumption.The projected pattern of growth in jet fuel consumptionvaries significantly by projection, and the basisof the variation is not always clear. Relative <strong>to</strong> theAEO<strong>2006</strong> reference case, PIRA projects slightlyhigher jet fuel consumption in 2015, whereas GII projectshigher jet fuel consumption only <strong>to</strong>ward the endof the projection (25 percent higher in <strong>2030</strong> but 4 percentlower in 2015). DB also projects lower jet fuelconsumption in the middle years, 9 percent below theAEO<strong>2006</strong> reference case in 2015, but is nearly identical<strong>with</strong> the AEO<strong>2006</strong> reference case in the later yearsof the projection.The projections also differ substantially on the projectedfuture use of residual fuel oil. PIRA and GIIproject a steady decline in residual fuel oil consumption,but DB sees some growth in the future. In theGII projection, residual fuel oil consumption is 3 percentbelow that in the AEO<strong>2006</strong> reference case in2015 and 18 percent below in <strong>2030</strong>. Both GII andPIRA project deep declines in residual fuel oil consumptionfor electricity generation. The AEO<strong>2006</strong>reference case projects more modest reductionsthrough 2015 and then slow growth for the remainderof the projection. The DB projections are 14 percentand 17 percent above the AEO<strong>2006</strong> reference case in2015 and <strong>2030</strong>, respectively.114 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Forecast ComparisonsDomestic crude oil production declines in all the projections,but at different rates. As compared <strong>with</strong> theAEO<strong>2006</strong> reference case, domestic crude oil productiondeclines more rapidly in the earlier years andmuch more slowly in the later years of the GII projection.GII projects domestic crude oil production 14percent lower than in the AEO<strong>2006</strong> reference case in2015 but essentially the same in <strong>2030</strong>. DB and PIRAproject a much more rapid decline in domestic crudeoil production: both are about 15 percent below theAEO<strong>2006</strong> reference case in 2015, and DB projects afurther decline, <strong>to</strong> 19 percent below the AEO<strong>2006</strong> referencecase in <strong>2030</strong>.The projections do not agree on domestic productionof NGL. The AEO<strong>2006</strong> reference case projects NGLproduction slightly above current levels in 2015 and<strong>2030</strong>, <strong>with</strong> peak production in 2020. DB is bearishon NGL production, projecting 19 percent lowerlevels than in the AEO<strong>2006</strong> reference case in 2015and 42 percent lower in <strong>2030</strong>. GII, on the other hand,is bullish on NGL production, projecting domesticproduction 24 percent above the levels in theAEO<strong>2006</strong> reference case in 2015 and 38 percent abovein <strong>2030</strong>. EVA and DB project the lowest <strong>to</strong>tals ofdomestic crude oil and NGL production in 2015 and<strong>2030</strong>.Declining domestic production of crude oil and risingpetroleum product demand imply greater dependenceon imports in all the projections. The decreases incrude oil production are offset somewhat by projectedincreases in NGL production in the AEO<strong>2006</strong> referencecase and GII. DB projects substantial declines incrude oil and NGL production and therefore projectsthe highest levels of net imports of crude and petroleumproducts. DB projects import shares 9 percentagepoints above the AEO<strong>2006</strong> reference case in 2015and 14 percentage points above in <strong>2030</strong>. GII projectsimport shares that are 8 percentage points above theAEO<strong>2006</strong> reference case in 2015 and <strong>2030</strong>.AEO<strong>2006</strong> also includes alternative price cases. TheAEO<strong>2006</strong> low price case assumes that the averageTable 24. Comparison of petroleum forecasts, 2015 and <strong>2030</strong> (million barrels per day, except where noted)Projection 2004AEO<strong>2006</strong>Other forecastsReference Low price High price GII DB EVA PIRA2015Crude oil and NGL production 7.23 7.72 7.34 6.49 6.56 NA 7.88 7.61Crude oil 5.42 5.84 5.02 4.98 NA 4.99 5.99 5.76Natural gas liquids 1.81 1.88 2.32 1.51 NA NA 1.89 1.85Total net imports 12.11 13.23 15.08 15.31 NA 14.37 14.06 11.87Crude oil 10.06 10.47 11.28 NA NA 11.74 11.06 9.65Petroleum products 2.05 2.76 3.79 NA NA 2.63 3.00 2.22Petroleum demand 20.76 23.53 23.71 23.43 NA 23.01 24.48 22.21Mo<strong>to</strong>r gasoline 9.10 10.63 10.69 10.39 NA 9.14 11.07 9.85Jet fuel 1.63 2.06 1.98 1.88 NA 2.11 2.09 2.03Distillate fuel 4.06 4.91 4.60 4.81 NA 4.83 5.05 4.72Residual fuel 0.87 0.73 0.71 0.83 NA 0.72 0.83 0.66Other 5.10 5.20 5.74 5.51 NA 6.21 5.44 4.95Import share of product supplied (percent) 58 56 64 65 NA 62 57 53<strong>2030</strong>Crude oil and NGL production 7.23 6.44 7.17 4.78 4.70 NA 6.41 6.85Crude oil 5.42 4.57 4.59 3.69 NA NA 4.49 4.96Natural gas liquids 1.81 1.87 2.58 1.09 NA NA 1.92 1.89Total net imports 12.11 17.24 19.69 21.13 NA NA 20.21 13.28Crude oil 10.06 13.51 13.01 NA NA NA 15.51 11.24Petroleum products 2.05 3.73 6.67 NA NA NA 4.70 2.04Petroleum demand 20.76 27.57 28.24 27.74 NA NA 29.57 25.17Mo<strong>to</strong>r gasoline 9.10 12.49 12.59 12.25 NA NA 13.68 10.96Jet fuel 1.63 2.31 2.89 2.29 NA NA 2.33 2.09Distillate fuel 4.06 6.09 5.31 5.81 NA NA 6.29 5.99Residual fuel 0.87 0.78 0.64 0.91 NA NA 1.01 0.70Other 5.10 5.89 6.80 6.49 NA NA 6.26 5.44Import share of product supplied (percent) 58 62 70 76 NA NA 68 53NA = Not available.Sources: 2004 and AEO<strong>2006</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runs AEO<strong>2006</strong>.D111905A (reference case), LP<strong>2006</strong>.D113005A (low price case), and HP<strong>2006</strong>.D120105A (high price case). GII: Global Insight, Inc., Summer 2005 U.S. <strong>Energy</strong> <strong>Outlook</strong> (August2005). DB: Deutsche Bank AG, e-mail from Adam Sieminski on Oc<strong>to</strong>ber 31, 2005. EVA: <strong>Energy</strong> Ventures Analysis, Inc., FUELCAST:Long-Term <strong>Outlook</strong> (August 2005). PIRA: PIRA <strong>Energy</strong> Group (Oc<strong>to</strong>ber 2005).<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 115


Forecast Comparisonsrefiners acquisition cost of imported crude oil willremain at about $28 per barrel from 2015 <strong>to</strong> <strong>2030</strong>(2004 dollars), and that the average refiners acquisitioncost of imported low-sulfur light crude oil willremain at about $34 per barrel over the same period.The AEO<strong>2006</strong> low price case is somewhat lower thanGII’s crude oil price path. The AEO<strong>2006</strong> high pricecase assumes that the average refiners acquisitioncost of imported crude oil will range between $72 and$90 per barrel from 2015 <strong>to</strong> <strong>2030</strong>, and that the averagerefiners acquisitions cost of imported low-sulfurlight crude oil will range between $76 and $96 perbarrel over the same period. The crude oil prices inthe AEO<strong>2006</strong> high price case are well above PIRA’sprojected levels. The AEO<strong>2006</strong> low price case showsthe highest levels of <strong>to</strong>tal petroleum demand in 2015and <strong>2030</strong>, and the AEO<strong>2006</strong> high price case shows thelowest. The projected demand reduction in the AEO-<strong>2006</strong> high price case also results in the least relianceon imports <strong>to</strong> meet petroleum demand in 2015 and<strong>2030</strong>. The DB projection shows the greatest relianceon petroleum imports, because it assumes the lowestlevels of domestic crude oil and NGL production.CoalThe coal projections for the AEO<strong>2006</strong> reference caseand economic growth cases (Table 25) incorporateCAAA90, CAIR, and CAMR. EVA’s forecast assumeslegislation similar <strong>to</strong> the Clear Skies Act but alsoincludes a fee of $5 per <strong>to</strong>n on CO 2 emissions, beginningin 2013. The AEO<strong>2006</strong>, PIRA, and GII projectionsdo not include assumptions about reductions inCO 2 emissions for the United States. In addition <strong>to</strong>environmental assumptions, differences among theTable 25. Comparison of coal forecasts, 2015, 2025, and <strong>2030</strong> (million short <strong>to</strong>ns, except where noted)Projection 2004ReferenceAEO<strong>2006</strong>LoweconomicgrowthHigheconomicgrowth116 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>Other forecastsPIRA EVA GII2015Production 1,125 1,272 1,251 1,318 1,250 1,234 1,149Consumption by sec<strong>to</strong>rElectric power 1,015 1,161 1,145 1,199 1,171 1,140 1,071Coke plants 24 22 21 23 NA 29 19Coal-<strong>to</strong>-liquids 0 22 19 27 NA NA NAIndustrial/other 65 71 69 72 88 a 65 66Total 1,104 1,276 1,254 1,321 1,259 1,234 1,156Net coal exports 20.7 -4.8 -4.8 -4.8 -8.0 -17.3 -7.7Exports 48.0 22.0 22.0 22.0 NA 28.0 28.6Imports 27.3 26.7 26.7 26.8 NA 45.3 36.3Minemouth price(2004 dollars per short <strong>to</strong>n) 20.07 20.39 20.04 20.67 NA 19.69 b 17.82 d(2004 dollars per million Btu) 0.98 1.01 0.99 1.02 NA 0.99 c 0.86 dAverage delivered price<strong>to</strong> electricity genera<strong>to</strong>rs(2004 dollars per short <strong>to</strong>n) 27.43 28.12 27.74 28.50 NA 29.45 b 28.17 e(2004 dollars per million Btu) 1.36 1.40 1.39 1.42 NA 1.48 b 1.362025Production 1,125 1,530 1,394 1,710 NA 1,404 1,296Consumption by sec<strong>to</strong>rElectric power 1,015 1,354 1,248 1,486 NA 1,329 1,226Coke plants 24 21 19 23 NA 26 16Coal-<strong>to</strong>-liquids 0 146 115 192 NA NA NAIndustrial/other 65 71 68 73 NA 60 67Total 1,104 1,592 1,450 1,774 NA 1,415 1,309Net coal exports 20.7 -62.8 -57.9 -65.5 NA -29.2 -15.1Exports 48.0 19.6 19.6 18.4 NA 30.1 23.4Imports 27.3 82.4 77.4 84.0 NA 59.3 38.5Minemouth price(2004 dollars per short <strong>to</strong>n) 20.07 20.63 19.40 21.73 NA 20.15 b 16.12 d(2004 dollars per million Btu) 0.98 1.03 0.98 1.09 NA 1.02 c 0.78 dAverage delivered price<strong>to</strong> electricity genera<strong>to</strong>rs(2004 dollars per short <strong>to</strong>n) 27.43 29.02 27.48 30.87 NA 30.12 b 25.84 e(2004 dollars per million Btu) 1.36 1.44 1.37 1.52 NA 1.53 b 1.25Btu = British thermal unit. NA = Not available. See notes and sources at end of table.


Forecast ComparisonsAEO<strong>2006</strong>, EVA, PIRA, and GII projections reflectvariation in other assumptions, including those abouteconomic growth, the natural gas outlook, and worldoil prices.While all the projections show increases in coal consumptionover their projection horizons, theAEO<strong>2006</strong> reference case projects the highest level of<strong>to</strong>tal coal consumption. Given its more restrictiveenvironmental assumptions after 2012 and an averageeconomic growth rate of 2.5 percent per year from2004, EVA projects lower levels of coal consumption(11 percent lower in 2025) than the AEO<strong>2006</strong> referencecase. The EVA and PIRA projections for <strong>to</strong>talcoal consumption in the 2015-2020 period mostclosely resemble those in the AEO<strong>2006</strong> low economicgrowth case. GII’s projection, which does not includea carbon tax, has the lowest projection of <strong>to</strong>tal coalconsumption. Although the GII projection shows 21percent less <strong>to</strong>tal coal consumption than theAEO<strong>2006</strong> reference case in <strong>2030</strong>, GII’s outlook forcoal consumption in the electric power sec<strong>to</strong>r in <strong>2030</strong>is virtually identical <strong>to</strong> that in the AEO<strong>2006</strong> low economicgrowth case.In contrast <strong>to</strong> the AEO<strong>2006</strong> reference case, the otherprojections show natural gas <strong>with</strong> a larger share ofelectricity generation than coal’s. GII, PIRA, andEVA expect imports of LNG <strong>to</strong> be greater than projectedin the AEO<strong>2006</strong> reference case. Although EVAand the AEO<strong>2006</strong> reference case project similar levelsof generation in the electric power sec<strong>to</strong>r, theAEO<strong>2006</strong> reference case also projects 19 gigawatts ofgeneration capacity at CTL plants by <strong>2030</strong>, representing11 percent of <strong>to</strong>tal coal consumption in <strong>2030</strong>.For coke plants, both GII and the AEO<strong>2006</strong> referencecase project declining consumption of coal. EVA differsfrom the other projections and projects anincrease in coal consumption at coke plants, peakingat around 30 million <strong>to</strong>ns before falling <strong>to</strong> 26 million<strong>to</strong>ns in 2025—2 million <strong>to</strong>ns higher than 2004Table 25. Comparison of coal forecasts, 2015, 2025, and <strong>2030</strong> (continued)(million short <strong>to</strong>ns, except where noted)Projection 2004ReferenceAEO<strong>2006</strong>LoweconomicgrowthHigheconomicgrowthOther forecastsPIRA EVA GII<strong>2030</strong>Production 1,125 1,703 1,497 1,936 NA NA 1,395Consumption by sec<strong>to</strong>rElectric power 1,015 1,502 1,331 1,680 NA NA 1,330Coke plants 24 21 19 23 NA NA 14Coal-<strong>to</strong>-liquids 0 190 153 247 NA NA NAIndustrial/other 65 72 68 75 NA NA 67Total 1,104 1,784 1,571 2,025 NA NA 1,411Net coal exports 20.7 -82.7 -69.3 -89.0 NA NA -18.7Exports 48.0 16.7 16.4 16.8 NA NA 22.3Imports 27.3 99.4 85.7 105.8 NA NA 41.0Minemouth price(2004 dollars per short <strong>to</strong>n) 20.07 21.73 19.91 23.05 NA NA 15.65 d(2004 dollars per million Btu) 0.98 1.09 1.00 1.15 NA NA 0.76 dAverage delivered price<strong>to</strong> electricity genera<strong>to</strong>rs(2004 dollars per short <strong>to</strong>n) 27.43 30.58 28.28 32.79 NA NA 25.23 e(2004 dollars per million Btu) 1.36 1.51 1.41 1.61 NA NA 1.22Btu = British thermal unit. NA = Not available.a Includes coal consumed at coke plants.b The average coal price is a weighted average of the projected spot market price for the electric power sec<strong>to</strong>r only and was converted from2005 dollars <strong>to</strong> 2004 dollars <strong>to</strong> be consistent <strong>with</strong> AEO<strong>2006</strong>.c Estimated by dividing the minemouth price in dollars per short <strong>to</strong>n by the average heat content of coal delivered <strong>to</strong> the electric powersec<strong>to</strong>r.d The minemouth prices are average prices for the electric power sec<strong>to</strong>r only and are calculated as a weighted average from Census regionprices.e Calculated by multiplying the delivered price of coal <strong>to</strong> the electric power sec<strong>to</strong>r in dollars per million Btu by the average heat content ofcoal delivered <strong>to</strong> the electric power sec<strong>to</strong>r.Sources: 2004 and AEO<strong>2006</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runs AEO<strong>2006</strong>.D111905A (reference case), LM<strong>2006</strong>.D113005A (low economic growth case), and HM<strong>2006</strong>.D112505B (high economic growth case). PIRA: PIRA <strong>Energy</strong> Group (Oc<strong>to</strong>ber 2005).EVA: <strong>Energy</strong> Ventures Analysis, Inc., FUELCAST: Long-Term <strong>Outlook</strong> (August 2005). GII: Global Insight, Inc., U.S. <strong>Energy</strong> <strong>Outlook</strong>(Summer 2005).<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 117


Forecast Comparisonsconsumption. In the GII projection, coke plants consumeonly 14 million <strong>to</strong>ns of coal in <strong>2030</strong>, compared<strong>with</strong> 21 million <strong>to</strong>ns in the AEO<strong>2006</strong> reference case.The AEO<strong>2006</strong> reference case shows no change inindustrial/other coal consumption, whereas EVA projectsa drop in industrial/other consumption, <strong>to</strong> 60million short <strong>to</strong>ns in 2025.In the GII projections, minemouth coal prices (electricpower sec<strong>to</strong>r only) appear <strong>to</strong> peak by 2010 andthen fall below 2004 levels by <strong>2030</strong> (in real dollars).The AEO<strong>2006</strong> reference case shows a similar downwardtrend after 2010 in its average nationalminemouth price (all sec<strong>to</strong>rs combined) through2020; however, prices rise after 2020, in response <strong>to</strong>substantial growth in coal demand from the electricpower sec<strong>to</strong>r and CTL. GII’s average delivered priceof coal <strong>to</strong> the electric power sec<strong>to</strong>r in <strong>2030</strong> is 19 percentlower than the AEO<strong>2006</strong> reference case (on a Btubasis). The average delivered price of coal <strong>to</strong> the electricitysec<strong>to</strong>r in the GII forecast is still 13 percentlower (on a Btu basis) than the AEO<strong>2006</strong> low economicgrowth case, despite comparable levels of coalconsumption in the electricity sec<strong>to</strong>r.All the forecasts reviewed meet coal demand primarilythrough domestic production. AEO<strong>2006</strong> projectsthe largest increase in production over the forecasthorizon, 51 percent higher in <strong>2030</strong> than in 2004. As<strong>with</strong> consumption, the PIRA and EVA projections forcoal production most closely resemble those in theAEO<strong>2006</strong> low economic growth case. GII projects coalconsumption levels for 2015, 2025, and <strong>2030</strong> that aremore than 100 million <strong>to</strong>ns less than projected in theAEO<strong>2006</strong> reference case.In all the projections, gross exports of coal represent asmall and declining part of domestic coal production.EVA projects the most exports, 30 million <strong>to</strong>ns in2025, and the other projections are around 20 million<strong>to</strong>ns. The AEO<strong>2006</strong> reference case shows coal exportsfalling <strong>to</strong> 17 million <strong>to</strong>ns in <strong>2030</strong>, and GII projects 22million <strong>to</strong>ns. In the AEO<strong>2006</strong> reference case, theexport share of <strong>to</strong>tal U.S. coal production falls from 4percent in 2004 <strong>to</strong> roughly 1 percent in <strong>2030</strong>. Currently,coal is the only domestic U.S. energy resourcefor which exports exceed imports. All the projectionsexpect the United States <strong>to</strong> become a net importer ofcoal over the projection period. GII projects the lowestlevel of coal imports, only 14 million <strong>to</strong>ns in <strong>2030</strong>. TheAEO<strong>2006</strong> reference case projection for coal imports in2025 is 23 million <strong>to</strong>ns higher than the EVA projection,which is the next highest.118 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


List of AcronymsACI Activated carbon injectionAD Associated-dissolved (natural gas)AEO <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong>AEO2005 <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> 2005AEO<strong>2006</strong> <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>Al<strong>to</strong>s Al<strong>to</strong>s PartnersANWR Arctic National Wildlife RefugeAPI American Petroleum InstituteBLGCC Black liquor gasification coupled <strong>with</strong> acombined-cycle power plantBOE Barrels of oil equivalentBTL Biomass-<strong>to</strong>-liquidsBtu British thermal unitsCAAA90 Clean Air Act Amendments of 1990CAFE Corporate average fuel economyCAIR Clean Air Interstate RuleCAMR Clean Air Mercury RuleCARB California Air Resources BoardCBO Congressional Budget OfficeCHP Combined heat and powerCO 2 Carbon dioxideCPI Consumer price indexCRI Color rendering indexCTL Coal-<strong>to</strong>-liquidsDB Deutsche Bank AGDCL Direct coal liquefactionDOE U.S. Department of <strong>Energy</strong>E85 Fuel containing a blend of 70 <strong>to</strong> 85 percent ethanolEEA <strong>Energy</strong> and Environmental Analysis, Inc.EIA <strong>Energy</strong> Information AdministrationEMF Stanford University <strong>Energy</strong> Modeling ForumEPA U.S. Environmental Protection AgencyEPACT1992 <strong>Energy</strong> Policy Act of 1992EPACT2005 <strong>Energy</strong> Policy Act of 2005ERO Electric Reliability OrganizationETBE Ethyl tertiary butyl etherEVA <strong>Energy</strong> Ventures Analysis, Inc.FERC Federal <strong>Energy</strong> Regula<strong>to</strong>ry CommissionGATS Generation Attribute Tracking SystemGDP Gross domestic productGHG Greenhouse gasGII Global Insight, Inc.GT-MH Gas-Turbine Modular Helium reac<strong>to</strong>rGTL Gas-<strong>to</strong>-liquidsH 2 Molecular hydrogenHCCI Homogeneous charge compression ignitionICL Indirect coal liquefactionIEA International <strong>Energy</strong> AgencyIGCC Integrated gasification combined-cycleINFORUM Interindustry Forecasting at the University ofMarylandIRAC Average imported refiner acquisition cost of crudeoil <strong>to</strong> the United StatesIRIS International Reac<strong>to</strong>r Innovative and Secure reac<strong>to</strong>rLED Light-emitting diodeLFG Landfill gasLNG Liquefied natural gasLPGLWRMACTMRETSMSWMTBENANAAQSNARGNASNEMSNEPOOLNGLNHTSAnmNO xNRCNYMEXOLEDOMBOPECPATHPBMRPDVSAPELPIRAPM 2.5ppmPTCPURPAPVR&DRD&DRFGRFSRPSSAFETEA-LUSAGDSCRSEERSIPSNCRSO 2SSLSyncrudeTAMETANULSDUSGSVOCWPIWREGISWTIZEHLiquefied petroleum gasLight-water reac<strong>to</strong>rMaximum Achievable Control TechnologyMidwest Renewable <strong>Energy</strong> Tracking SystemMunicipal solid wasteMethyl tertiary butyl etherNonassociated (natural gas)National Ambient Air Quality StandardsAl<strong>to</strong>s Partners North American Regional Gas ModelNational Academy of SciencesNational <strong>Energy</strong> Modeling SystemNew England Power PoolNatural gas liquidsNational Highway Traffic Safety AdministrationNanometer (one-billionth of a meter)Nitrogen oxidesU.S. Nuclear Regula<strong>to</strong>ry CommissionNew York Mercantile ExchangeOrganic light-emitting diodeOffice of Management and BudgetOrganization of the Petroleum Exporting CountriesPartnership for Advanced Technology in HousingPebble Bed Modular Reac<strong>to</strong>rPetroleos de Venezuela SAPetroleum Economics, Ltd.Petroleum Industry Research Associates, Inc.Fine particulate matterParts per millionProduction tax creditPublic Utility Regula<strong>to</strong>ry Policies ActPho<strong>to</strong>voltaicResearch and developmentResearch, development, and demonstrationReformulated gasolineRenewable fuels standardRenewable portfolio standardSafe, Accountable, Flexible, and EfficientTransportation Equity Act: A Legacy for UsersSteam-assisted gravity drainageSelective catalytic reductionStrategic <strong>Energy</strong> and Economic Research, Inc.State Implementation PlanSelective noncatalytic reductionSulfur dioxideSolid-state lightingSynthetic crudeTertiary amyl methyl etherTotal acid numberUltra-low-sulfur diesel fuelU.S. Geological SurveyVolatile <strong>org</strong>anic compoundWholesale price indexWestern Renewable <strong>Energy</strong> Generation InformationTracking SystemWest Texas Intermediate (crude oil)Zero <strong>Energy</strong> Home<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 119


Notes and SourcesText NotesLegislation and Regulations[1] For the complete text of the <strong>Energy</strong> Policy Act of 2005,see web site http://frwebgate.access.gpo.gov/cgi-bin/getdoc.cgi?dbname=109_cong_public_laws&docid=f:publ058.109.pdf.[2] See, for example, web site http://energy.senate.gov/public/_files/PostConferenceBillSummary.doc.[3] Joint Committee on Taxation, Description and TechnicalExplanation of the Conference Agreement of H.R.6, TitleXIII, The “<strong>Energy</strong> Tax Incentives Act of 2005,”JCX-60-05 (Washing<strong>to</strong>n, DC, July 28, 2005), pp. 6-8, website www. house.gov/jct/x-60-05.pdf.[4] Other Federal credit assistance programs, such as thatcreated by the Transportation Infrastructure Financeand Innovation Act of 1998 (TIFIA), have used loan guarantees<strong>to</strong> leverage limited Federal resources and stimulateprivate capital investment. With a budget authorizationof $130 million for fiscal year 2003, the TIFIAprogram was able <strong>to</strong> support loans valued at $2.6 billion.See web site http://tifia.fhwa.dot.gov.[5] Other States that have adopted the California emissionstandards include Connecticut, Maine, Massachusetts,New Jersey, New York, Rhode Island, Vermont, andWashing<strong>to</strong>n.[6] On December 7, 2004, the Alliance of Au<strong>to</strong>mobile Manufacturersand several California au<strong>to</strong> dealerships filedsuit in the U.S. District Court in Fresno, California,against A.B. 1493.[7] <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong><strong>Outlook</strong> 2005, DOE/EIA-0383(2005) (Washing<strong>to</strong>n, DC,February 2005), pp. 27-31, web site www.eia.doe.gov/oiaf/archive/aeo05/index.html.[8] National Highway Traffic Safety Administration,Average Fuel Economy Standards for Light TrucksModel Years 2008-2011, Notice of Proposed Rulemaking,49 CFR Parts 523, 533, and 537, Docket No.2005-22223, RIN 2127-AJ61 (Washing<strong>to</strong>n, DC, August2005), web site www.nhtsa.dot.gov/cars/rules/rulings/LightTrucksRuling-2008-2001/ProposedRulemaking/CAFE-LigthTrucks-PR-24Aug05.pdf.[9] <strong>Energy</strong> Information Administration, “State Renewable<strong>Energy</strong> Requirements and Goals: Status Through 2003,”<strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> 2005, DOE/EIA-0383(2005)(Washing<strong>to</strong>n, DC, February 2005), pp. 20-23, web sitewww.eia.doe.gov/oiaf/archive/aeo05/index.html.[10]Vermont Senate Bill 52, Sec. 2 (8002)(2) (June 14,2005).[11]Federal Register, Vol. 70, No. 91 (May 12, 2005), 40CFR Parts 51, 72, 73, 74, 77, 78, and 96.[12]U.S. Environmental Protection Agency, “Clean Air InterstateRule,” web site www.epa.gov/cair.[13]States are required <strong>to</strong> meet both seasonal and annualNOx caps. The SO2 caps are annual only.[14]Federal Register, Vol. 70, No. 95 (May 18, 2005), 40CFR Parts 60, 72, and 75.[15]For the complete text of SAFETEA-LU, Public Law109-59, see web site http://frwebgate.access.gpo.gov/cgi-bin/getdoc.cgi?dbname=109_cong_public_laws&docid=f:publ059.109.pdf.Issues in Focus[16]The USGS provides three point estimates of undiscoveredand inferred resources: the mean, a 5-percent confidenceinterval, and a 95-percent confidence interval <strong>with</strong>no price relationship. AEO<strong>2006</strong> assumes that proven reservesare not subject <strong>to</strong> much uncertainty.[17]For readers interested in the international effects ofhigher oil prices, an International <strong>Energy</strong> Agency paper,“Impact of Higher Oil Prices on the World Economy”(2003) is available from web site www.iea.<strong>org</strong>/Textbase/publications/free_new_Desc.asp? PUBS_ID=886.[18]The more that is spent back in the U.S. economy, thelower will be the net effect. If the receivers of the extra income,domestic oil companies and oil-exporting countries,do not spend it back in the U.S. economy, aggregate demandfor goods and services will be reduced in the shortterm. Even if all additional oil revenues are spent back inthe United States, there still will be distribution effectsinvolving a move <strong>to</strong>ward different categories of consumption.There will also be an indirect impact on demand forU.S. goods and services through third-country effects;when higher oil prices have negative effects on economicgrowth in other countries, their demand for imports fromthe United States will be reduced.[19]See K.A. Mork, “Oil and the Macroeconomy WhenPrices Go Up and Down: An Extension of Hamil<strong>to</strong>n’s Results,”Journal of Political Economy, Vol. 97 (1989), pp.740-744.[20]There have been several recent surveys of past researchon the economic impacts of oil price shocks. See S.P.A.Brown, M.K. Yücel, and J. Thompson, “Business Cycles:The Role of <strong>Energy</strong> Prices,” in Encyclopedia of <strong>Energy</strong>,C.J. Cleveland, Ed. (New York, NY: Academic Press,2004); S.P.A. Brown and M.K. Yucel, “<strong>Energy</strong> Prices andAggregate Economic Activity: An Interpretative Survey,”Quarterly Review of Economics and Finance, Vol. 42(2002), pp. 193-208; and D.W. Jones, P.N. Leiby, and I.K.Paik, “Oil Price Shocks and the Macroeconomy: WhatHas Been Learned Since 1996,” <strong>Energy</strong> Journal, Vol. 25,No. 2 (2004).[21]H.G. Hunting<strong>to</strong>n, The Economic Consequences ofHigher Crude Oil Prices, EMF SR 9 (Stanford, CA, Oc<strong>to</strong>ber2005), web site www.stanford.edu/group/EMF/publications/doc/EMFSR9.pdf.[22]Results of Global Insight’s Macroeconomic Model of theU.S. Economy are from N. Gault, “Impacts on the U.S.Economy: Macroeconomic Models,” Presented at the <strong>Energy</strong>Modeling Forum Workshop on Macroeconomic Impactsof Oil Shocks (Arling<strong>to</strong>n, VA, February 8, 2005),web site www.stanford.edu/group/EMF/research/doc/gault.pdf. Federal Reserve Bank macroeconomic modelresults are from D. Reifschneider, R. Tetlow, and J. Williams,“Aggregate Disturbances, Monetary Policy, andthe Macroeconomy: The FRB/US Perspective,” FederalReserve Bulletin (January 1999), web site www.federalreserve.gov/pubs/bulletin/1999/0199lead.pdf. Resultsfrom the NiGEM global macroeconomic model arefrom R. Barrell and O. Pomerantz, “Oil Prices and theWorld Economy,” National Institute of Economic and SocialResearch Discussion Paper 242 (London, UK, December2004), web site www.niesr.ac.uk/pubs/dps/dp242.pdf.120 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Notes and Sources[23]R. Jimenez-Rodriguez and M. Sanchez. “Oil PriceShocks and Real GDP Growth: Empirical Evidence forSome OECD Countries,” Applied Economics, Vol. 37, No.2 (February 2005), pp. 201-228.[24]H.G. Hunting<strong>to</strong>n, “<strong>Energy</strong> Disruptions, InterfirmPrice Effects and the Aggregate Economy,” <strong>Energy</strong> Economics,Vol. 25, No. 2 (March 2003), pp. 119-136.[25]Quality and prices vary among imported light, sweetcrudes. For example, Nigerian Bonny Light usually isworth 15 cents a barrel more than WTI, and NorwegianOseberg is discounted by about 55 cents a barrel. SeeNYMEX Light Sweet Crude Oil Futures Contract Specifications,web site www.nymex.com/CL_spec.aspx.[26]<strong>Energy</strong> Information Administration, Form EIA-856,“Monthly Foreign Crude Oil Acquisition Report” (1985-2005).[27]<strong>Energy</strong> Information Administration, Form EIA-856,“Monthly Foreign Crude Oil Acquisition Report” (1985-2005).[28]See Purvin & Gertz, Inc., “Global Petroleum Market<strong>Outlook</strong>—An Online Global Service,” Petroleum Balances(2004), web site www.purvingertz.com/studies.html.[29]U.S. Environmental Protection Agency, “Tier 2/Gasoline Sulfur Final Rule” (Washing<strong>to</strong>n, DC, February2000), web site www.epa.gov/tier2/finalrule.htm; “Controlof Air Pollution From New Mo<strong>to</strong>r Vehicles: Heavy-Duty Engine and Vehicle Standards and Highway DieselFuel Sulfur Control Requirements Final Rule” (Washing<strong>to</strong>n,DC, January 2001), web site www.epa.gov/fedrgstr/EPA-AIR/2001/January/Day-18/a01a.htm; and “Controlof Emissions of Air Pollution From Nonroad DieselEngines and Fuel Final Rule” (Washing<strong>to</strong>n, DC, June2004), web site www.epa.gov/fedrgstr/EPA-AIR/2004/June/Day-29/a11293a.htm.[30]Navigant Consulting, Inc., <strong>Energy</strong> Savings Potential ofSolid State Lighting in General Illumination Applications(Washing<strong>to</strong>n DC, November 2003), prepared forBuilding Technologies Program, Office of <strong>Energy</strong> Efficiencyand Renewable <strong>Energy</strong>, U.S. Department of<strong>Energy</strong>, web site www.netl.doe.gov/ssl/PDFs/SSL%20<strong>Energy</strong>%20Savi_ntial%20Final.pdf. General researchgoals are provided in Op<strong>to</strong>electronics Industry DevelopmentAssociation, 2002 Update: The Promise of SolidState Lighting for General Illumination (Washing<strong>to</strong>n,DC, 2002), web site http://lighting.sandia.gov/lightingdocs/OIDA_SSL_Roadmap_Summary_2002.pdf.[31]The home would be both an energy consumer and, atcertain times, a net energy provider. Over the course of ayear, its net energy purchases would be zero or near zero.U.S. Department of <strong>Energy</strong>, Building America Researchis Leading the Way <strong>to</strong> Zero <strong>Energy</strong> Homes (Washing<strong>to</strong>n,DC, May 2005), web site www.nrel.gov/docs/fy05osti/37547.pdf.[32]Non-grid-connected housing units that derive most orall of their energy from renewable sources exist, but mostare in remote areas and not designed for year-round living.[33]Partnership for Advancing Housing Technology(PATH), web site www.pathnet.<strong>org</strong>.[34]These are the six high-priority areas for emerging technologiesidentified in American Council for an <strong>Energy</strong>-Efficient Economy, Emerging <strong>Energy</strong>-Saving Technologiesand Practices for the Buildings Sec<strong>to</strong>r as of 2004,Report Number A042 (Washing<strong>to</strong>n, DC, Oc<strong>to</strong>ber 2004),web site http://aceee.<strong>org</strong>/pubs/a042full.pdf.[35]G.A. Smook, Handbook for Pulp & Paper Technologists,2nd Edition (Vancouver, BC: Angus Wilde Publications,1992), p. 140.[36]Forest Products Industry Technology Alliance, Agenda2020: 2003 Progress Report (Washing<strong>to</strong>n, DC, 2003),p. 5, web site www.agenda2020.<strong>org</strong>/PDF/2003_Progress_Report.pdf.[37]National Academy of Sciences, National ResearchCouncil, <strong>Energy</strong> Research at DOE: Was It Worth It? <strong>Energy</strong>Efficiency and Fossil <strong>Energy</strong> Research 1978 <strong>to</strong> 2000(Washing<strong>to</strong>n, DC: National Academy Press, 2001), website www.nap.edu/catalog/10165.html.[38]A nanometer is one-billionth of a meter.[39]National Nanotechnology Initiative, web site www.nano.gov.[40]J. McConnico, “Breakthrough at WFU NanotechnologyCenter Aids Quest for Viable Alternative <strong>Energy</strong>Sources” (Wake Forest University News Service, November7, 2005), web site www.wfu.edu/wfunews/2005/110705n.html.[41]Y. Chen, J. Au, P. Kazlas, A. Ritenour, H. Gates, and M.McCreary, “Electronic Paper: Flexible Active-MatrixElectronic Ink Display,” Nature, Vol. 423 (May 8, 2003),p. 136.[42]M. Brown, “Nano-Bio-Info Pathways <strong>to</strong> Extreme<strong>Energy</strong> Efficiency,” Presentation <strong>to</strong> the American Associationfor the Advancement of Science <strong>Annual</strong> Meeting(Washing<strong>to</strong>n, DC, February 21, 2005), web site www.ornl.gov/sci/eere/aaas/ExtremeEfficiency8.pdf.[43]The estimates of “in-place” resources do not take in<strong>to</strong>consideration whether the resources are either technicallyor economically recoverable.[44]M. Kray, “Testimony on Behalf of NuStart <strong>Energy</strong> Development,LLC, United States Senate, Committee onEnvironment & Public Works, Subcommittee on CleanAir, Climate Change and Nuclear Safety” (May 20, 2004),web site www.nei.<strong>org</strong>/documents/Testimony_Kray_05-20-04.pdf; and E.W. Merrow, K.E. Phillips, and C.W.Myers, Understanding Cost Growth and PerformanceShortfalls in Pioneer Process Plants, R-2569-DOE (SantaMonica, CA: The Rand Corporation, September 1981),web site www.rand.<strong>org</strong>/pubs/reports/R2569.[45]For more details, see <strong>Energy</strong> Information Administration,“New Reac<strong>to</strong>r Designs,” web site www.eia.doe.gov/cneaf/nuclear/page/analysis/nucenviss2.html.[46]See, for example, A. Dixit and R. Pyndick, InvestmentUnder Uncertainty (New York, NY: McGraw-Hill, 2001).[47]R.M. Heavenrich, Light-Duty Au<strong>to</strong>motive Technologyand Fuel Economy Trends: 1975 Through 2005,EPA420-R-05-001, Appendix E, “Data Stratified by VehicleType” (Washing<strong>to</strong>n, DC: U.S. Environmental ProtectionAgency, July 2005), web site www.epa.gov/otaq/cert/mpg/fetrends/420r05001e.pdf.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 121


Notes and Sources[48]These costs represent the range of difference in cost betweenhybrid and conventional vehicles. The hybrid vehiclesrepresented here have electric drive train componentsthat are used <strong>to</strong> move the vehicle.[49]Moody International Group, “Canada Oil—SandyDepths,” Miles<strong>to</strong>nes, Vol. 5, No. 1 (May 2005), p. 2,web site www.moodyint.com/news/documents/MoodyVol5Iss1FINAL.pdf.[50]Alberta <strong>Energy</strong> and Utilities Board, Alberta’s Reserves2003 and Supply/Demand <strong>Outlook</strong> 2004-2013, StatisticalSeries (ST) 2004-98 (Calgary, Alberta: June 2004).[51]National <strong>Energy</strong> Board, Canada’s Oil Sands: A Supplyand Market <strong>Outlook</strong> <strong>to</strong> 2015 (Calgary, Alberta: Oc<strong>to</strong>ber2000).[52]Syncrude Canada, Ltd., 2004 Sustainability Report(Fort McMurray, Alberta: 2004), p. 14, “2004 Results,”web site http://sustainability.syncrude.ca/sustainability2004/download/SyncrudeSD2004.pdf.[53]F. Birol and W. Davie, “Oil Supply Costs and EnhancedProductivity,” <strong>Energy</strong> Prices and Taxes (4th Quarter2001), pp. xvii-xxii, web site http://data.iea.<strong>org</strong>/ieas<strong>to</strong>re/assets/products/eptnotes/feature/4Q2001B.pdf.[54]Petroleos De Venezuela, S.A., U.S. Securities and ExchangeCommission Form 20-F (Oc<strong>to</strong>ber 7, 2005).[55]J.R. Dyni, “Geology and Resources of Some WorldOil-Shale Deposits,” Oil Shale, Vol. 20, No. 3 (2003), pp.193-252.[56]J.R. Donnell, “Geology and Oil-Shale Resources of theGreen River Formation,” in Proceedings of the First Symposiumon Oil Shale (Colorado School of Mines, 1964),pp. 153-163.[57]T. Dammer, “Strategic Significance of America’s OilShale Resource,” Presented at the 2005 EIA Midterm<strong>Energy</strong> <strong>Outlook</strong> Conference (Washing<strong>to</strong>n, DC, April12, 2005), web site www.eia.doe.gov/oiaf/aeo/conf/pdf/dammer.pdf.[58]“Shell Signs Chinese Oil-Shale Deal; Begins USGroundwater-Freezing Test,” Syngas Refiner, Vol. 1, No.9 (September 2005), p. 46.[59]J.T. Bartis, T. LaTourrette, L. Dixon, D.J. Peterson,and G. Cecchine, Oil Shale Development in the UnitedStates: Prospects and Policy Issues (Santa Monica, CA:RAND Corporation, 2005), p. xiii, web site www.rand.<strong>org</strong>/pubs/monographs/2005/RAND_MG414.pdf.[60]J.T. Bartis et al., p. 15.[61]“Fischer-Tropsch Condensate Boosts Lubricity in SyntheticDiesel: New SASOL Study,” World Fuels Today(Oc<strong>to</strong>ber 6, 2005), p. 3.[62]“Coal-To-Liquids Looks Profitable If Oil Prices StayAbove $30 <strong>to</strong> $40/Barrel Range,” World Fuels Today, (December22, 2004), p. 1.[63]Rentech, Inc., “The Economic Viability of an FT FacilityUsing PRB Coals,” Presentation <strong>to</strong> the Wyoming Governor’sOffice and the Wyoming Business Council (April14, 2005), web site www.rentechinc.com/pdfs/WBC-Presentation-4-14-05-b.pdf.[64]“Shenhua Coal Liquefaction Project Planned for Executionin Inner Mongolia,” Business China (January 24,2005).[65]World Fuels Today (August 16, 2005), p. 2.[66]S. Clarke and B. Ghaemmaghami, “Taking GTLForward—Engineering a Gas-<strong>to</strong>-Liquids Project,” TCEToday (July 2003), pp. 34-37, web site www.fwc.com/publications/tech_papers/files/GTL06%2Epdf.[67]U. Zuberbuhler, M. Specht, and A. Bandi, “Gasificationof Biomass: An Overview on Available Technologies,”Centre for Solar <strong>Energy</strong> and Hydrogen Research (ZSW),Birkenfeld, Germany (August 30, 2005), p. 2.[68]CHOREN Industries GmbH, Freiberg, Germany.[69]Correspondence <strong>with</strong> Matthias Rudloff, Head of BusinessDevelopment, CHOREN Industries GmbH (November29, 2005).[70]M. Rudloff, CHOREN Industries GmbH, “Biomass <strong>to</strong>Liquids (BtL) from the Carbo-V Process: Technology andthe Latest Developments,” Presentation at the SecondWorld Conference and Technology Exhibition (Rome, Italy,May 10-14, 2004).[71]Bechtel, Aspen Process Flowsheet Simulation Model ofa Battelle Biomass-Based Gasification, Fischer-TropschLiquefaction and Combined-Cycle Power Plant: TopicalReport, May 1998,” DE-AC22-93PC91029--16 (Pittsburgh,PA: Pittsburgh <strong>Energy</strong> Technology Center, Oc<strong>to</strong>ber30, 1998), Appendix B-3.[72]Business Advisory Services, “Illinois Ethanol PrefeasibilityEvalua<strong>to</strong>r,” web site www.ile<strong>to</strong>hprefeas.com.[73]J.A. Waynick, Sr., Characterization of Biodiesel Oxidationand Oxidation Products: CRC Project No. AVFL-2b,Task 1 Results (San An<strong>to</strong>nio, TX: Southwest ResearchInstitute, August 2005), web site www.nrel.gov/vehiclesandfuels/npbf/pdfs/39096.pdf.[74]Frazier, Barnes & Associates, LLC (Memphis, TN).[75]“Oil Refiners Might Blend or Co-Process ‘Renewables’With Crude-Based Feeds<strong>to</strong>cks,” World Fuels Today (September20, 2005), p. 4.[76]“Oil Refiners Might Blend or Co-Process ‘Renewables’With Crude-Based Feeds<strong>to</strong>cks,” World Fuels Today (September20, 2005), p. 4.[77]Approximately 2 <strong>to</strong> 3 pounds of brominated ACI permillion metric actual cubic feet of flue gas.[78]A.P. Jones, J.W. Hoffman, T.J. Feeley, III, and J.T.Murphy, DOE/NETL Mercury Control Technology CostEstimate Report – 2005 Update (National <strong>Energy</strong> TechnologyLabora<strong>to</strong>ry, June 2005).[79]Configuration refers <strong>to</strong> the type of air pollution controldevice at a plant, such as cold-side electrostatic precipita<strong>to</strong>r,fabric filter, or flue gas desulfurization unit.[80]“President Announces Clear Skies & Global ClimateChange Initiatives” (February 14, 2002), web site www.whitehouse.gov/news/releases/2002/02/20020214-5.html.[81]See “Addendum” in the “Global Change Policy Book,”web site www.whitehouse.gov/news/releases/2002/02/climatechange.html. The business-as-usual (BAU) projectionscited in the addendum are somewhat higher thana “Policies and Measures” case developed by the EPA forthe U.S. Climate Action Report 2002.122 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Notes and Sources[82]U.S. Department of State, U.S. Climate Action Report2002 (Washing<strong>to</strong>n, DC, May 2002), Chapter 5, “ProjectedGreenhouse Gas Emissions,” pp. 70-80, web site http://yosemite.epa.gov/oar/globalwarming.nsf/content/ResourceCenterPublicationsUSClimateActionReport.html.[83]Personal communication from Casey Delhotal, EPA, <strong>to</strong>Daniel Skelly, EIA, July 7, 2005. EIA adjusted the EPAno-measures case projections <strong>to</strong> extrapolate from themost recent 2002-<strong>to</strong>-2004 data on these gases as publishedby EIA, as well as <strong>to</strong> estimate the intervening yearsof the projections, because the projections were providedonly for every 5 years, beginning in 2005 and ending in2020.Market Trends[84]The energy-intensive manufacturing sec<strong>to</strong>rs includefood, paper, bulk chemicals, petroleum refining, glass, cement,steel, and aluminum.[85]EIA collects aggregate data on <strong>to</strong>tal energy consumptionin the industrial sec<strong>to</strong>r and detailed energy consumptionin the manufacturing sec<strong>to</strong>r. The difference betweenthe aggregate industrial sec<strong>to</strong>r energy data and thedetailed manufacturing sec<strong>to</strong>r data is nonmanufacturingindustrial energy consumption. Nonmanufacturing energyconsumption is allocated <strong>to</strong> the agriculture, mining,and construction sec<strong>to</strong>rs on the basis of information fromthe <strong>Energy</strong> Information Administration, the U.S. CensusBureau, and the U.S. Department of Agriculture.[86]The alternative technology cases change technologycharacterizations only for sec<strong>to</strong>rs represented in theNEMS industrial model. Consequently, refining valuesare unchanged from those in the reference case projections.The reference case projections for the refining sec<strong>to</strong>rinclude considerable cogeneration capacity additionsassociated <strong>with</strong> coal-<strong>to</strong>-liquids production. Excluding therefining sec<strong>to</strong>r, cogeneration capacity increases by 2.4percent per year in the high technology case, as compared<strong>with</strong> 1.8 percent per year in the reference case.[87]U.S. Department of <strong>Energy</strong>, Office of <strong>Energy</strong> Efficiencyand Renewable <strong>Energy</strong>, Scenarios of U.S. Carbon Reductions:Potential Impacts of <strong>Energy</strong> Technologies by 2010and Beyond, ORNL/CON-444 (Washing<strong>to</strong>n, DC, September1997); J. DeCicco et al., Technical Options for Improvingthe Fuel Economy of U.S. Cars and Light Trucksby 2010-2015 (Washing<strong>to</strong>n, DC: American Council for an<strong>Energy</strong> Efficient Economy, April 2001); M.A. Weiss et al.,On the Road in 2020: A Life-Cycle Analysis of New Au<strong>to</strong>motiveTechnologies (Cambridge, MA: Massachusetts Instituteof Technology, Oc<strong>to</strong>ber 2000); A. Vyas, C. Saricks,and F. S<strong>to</strong>dolsky, Projected Effect of Future <strong>Energy</strong> Efficiencyand Emissions Improving Technologies on FuelConsumption of Heavy Trucks (Argonne, IL: Argonne NationalLabora<strong>to</strong>ry, 2001); and <strong>Energy</strong> and EnvironmentalAnalysis, Inc., Documentation of Technologies includedin the NEMS Fuel Economy Model for Passenger Carsand Light Trucks (prepared for <strong>Energy</strong> Information Administration,September 30, 2002).[88]Unless otherwise noted, the term “capacity” in the discussionof electricity generation indicates utility,nonutility, and combined heat and power capacity. Costsreflect the arithmetic average of regional costs.[89]Avoided cost estimates the incremental cost of fuel andcapacity displaced by a unit of the specified resource andmore accurately reflects its as-dispatched energy valuethan comparison <strong>to</strong> the levelized cost of other individualtechnologies. It does not reflect system reliability cost,nor does it necessarily indicate the lowest cost alternativefor meeting system energy and capacity needs.[90]AEO<strong>2006</strong> does not include off-grid pho<strong>to</strong>voltaics (PV).Based on annual PV shipments from 1989 through 2003,EIA estimates that as much as 149 megawatts of remoteelectricity generation PV applications (i.e., off-grid powersystems) were in service in 2003, plus an additional 414megawatts in communications, transportation, and assortedother non-grid-connected, specialized applications.See <strong>Energy</strong> Information Administration, <strong>Annual</strong><strong>Energy</strong> Review 2004, DOE/EIA-0384 (2004) (Washing<strong>to</strong>n,DC, August 2005), Table 10.6, “Pho<strong>to</strong>voltaic Cell andModule Shipments by End Use and Market Sec<strong>to</strong>r,1989-2003.” The approach used <strong>to</strong> develop the estimate,based on shipment data, provides an upper estimate ofthe size of the PV s<strong>to</strong>ck, including both grid-based andoff-grid PV. It overestimates the size of the s<strong>to</strong>ck, becauseshipments include a substantial number of units that areexported, and each year some of the PV units installedearlier are retired from service or abandoned.[91]Stranded Arctic natural gas and resources in areaswhere drilling is officially prohibited are not included inTable 17.[92]Resources from the Arctic Offshore Outer Continentalshelf and resources in areas where drilling is officiallyprohibited are not included in Table 18.[93]<strong>Energy</strong> Information Administration (EIA), FormEIA-767, “Steam-Electric Plant Operation and DesignData”; and EIA, Office of Integrated Analysis and Forecasting,Plant File.[94]Assumptions for the Integrated High Technology caseare documented in <strong>Energy</strong> Information Administration(EIA), Assumptions <strong>to</strong> the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>,DOE/EIA-0554(<strong>2006</strong>) (Washing<strong>to</strong>n, DC, February <strong>2006</strong>).Primary sources and assumptions include the following:Buildings: EIA, Technology Forecast Updates—Residentialand Commercial Building Technologies—AdvancedAdoption Case (Navigant Consulting, Inc., September2004). Industrial: EIA, Industrial Technology and DataAnalysis Supporting the NEMS Industrial Model (FocisAssociates, Oc<strong>to</strong>ber 2005). Transportation: EIA, Documentationof Technologies included in the NEMS FuelEconomy Model for Passenger Cars and Light Trucks(<strong>Energy</strong> and environmental Analysis, Inc., September2002), and A. Vyas, C. Saricks, and F. S<strong>to</strong>dolsky, ProjectedEffect of Future <strong>Energy</strong> Efficiency and EmissionsImproving Technologies on Fuel Consumption of HeavyTrucks (Argonne, IL: Argonne National Labora<strong>to</strong>ry,2001). Fossil-fired generating technologies: By assumption,capital costs, heat rates, and operating costs for advancedcoal and gas technologies fall more rapidly overtime, reaching levels 10 percent lower than in the referencecase in <strong>2030</strong>. Advanced nuclear technology: By assumption,capital and operating costs fall more rapidlyover time, reaching levels 20 percent lower than in thereference case in <strong>2030</strong>.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 123


Notes and SourcesTable Notes and SourcesNote: Tables indicated as sources in these notes refer<strong>to</strong> the tables in Appendixes A, B, C, and D of thisreport.Table 1. Total energy supply and disposition in theAEO<strong>2006</strong> reference case: summary, 2003-<strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO-<strong>2006</strong>.D111905A. Notes: Quantities are derived from his<strong>to</strong>ricalvolumes and assumed thermal conversion fac<strong>to</strong>rs.Other production includes liquid hydrogen, methanol, supplementalnatural gas, and some inputs <strong>to</strong> refineries. Netimports of petroleum include crude oil, petroleum products,unfinished oils, alcohols, ethers, and blending components.Other net imports include coal coke and electricity. Somerefinery inputs appear as petroleum product consumption.Other consumption includes net electricity imports, liquidhydrogen, and methanol.Table 2. CARB emissions standards for light-duty vehicles,model years 2009-2016: California Air ResourcesBoard, California Exhaust Emission Standards and TestProcedures for 2001 and Subsequent Model Passenger Cars,Light-Duty Trucks, and Medium-Duty Vehicles (Sacramen<strong>to</strong>,CA, August 4, 2005).Table 3. Proposed light truck CAFE standards bymodel year and footprint category: National HighwayTraffic Safety Administration, “Average Fuel EconomyStandards for Light Trucks Model Years 2008-2011,” 49CFR Parts 523, 533 and 537, Docket No. 2005-22223, RIN2127-AJ61 (Washing<strong>to</strong>n, DC, August, 2005).Table 4. Key projections for light truck fuel economyin the alternative CAFE standards case, 2011-<strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runsAEO<strong>2006</strong>.D111905A and ALTCAFE.D121505A.Table 5. Basic features of State renewable energy requirementsand goals enacted since 2003: <strong>Energy</strong> InformationAdministration, Office of Integrated Analysisand Forecasting.Table 6. Major changes in existing State renewableenergy requirements and goals since 2003: <strong>Energy</strong> InformationAdministration, Office of Integrated Analysisand Forecasting.Table 7. New U.S. renewable energy capacity, 2004-2005: <strong>Energy</strong> Information Administration, Office of IntegratedAnalysis and Forecasting.Table 8. Estimates of national trends in annual emissionsof sulfur dioxide and nitrogen oxides, 2003-2020: EPA Data: U.S. Environmental Protection Agency,Regula<strong>to</strong>ry Impact Analysis for the Final Clean Air InterstateRule, EPA-452/R-05-002 (Washing<strong>to</strong>n, DC, March2005), Table 7-2, p. 196. <strong>Projections</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Table 9. Macroeconomic model estimates of economicimpacts from oil price increases: H.G. Hunting<strong>to</strong>n,The Economic Consequences of Higher Crude OilPrices, EMF SR 9 (Stanford, CA, Oc<strong>to</strong>ber 2005), web sitewww.stanford.edu/group/EMF/publications/doc/EMFSR9.pdf.Table 10. Time-series estimates of economic impactsfrom oil price increases: R. Jimenez-Rodriguez and M.Sanchez. “Oil Price Shocks and Real GDP Growth: EmpiricalEvidence for Some OECD Countries,” Applied Economics,Vol. 37, No. 2 (February 2005), pp. 201-228.Table 11. Summary of U.S. oil price-GDP elasticities:H.G. Hunting<strong>to</strong>n, The Economic Consequences of HigherCrude Oil Prices, EMF SR 9 (Stanford, CA, Oc<strong>to</strong>ber 2005),web site www.stanford.edu/group/EMF/publications/doc/EMFSR9.pdf.Table 12. Economic indica<strong>to</strong>rs in the reference, highprice, and low price cases, 2005-<strong>2030</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, runs AEO<strong>2006</strong>.D111905A,LP<strong>2006</strong>.D120105A, and HP<strong>2006</strong>.D113005A.Table 13. Technologies expected <strong>to</strong> have significantimpacts on new light-duty vehicles: <strong>Energy</strong> InformationAdministration, Office of Integrated Analysis andForecasting.Table 14. Nonconventional liquid fuels productionin the AEO<strong>2006</strong> reference and high price cases, <strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runs AEO-<strong>2006</strong>.D111905A and HP<strong>2006</strong>.D113005A.Table 15. Projected changes in U.S. greenhouse gasemissions, gross domestic product, and greenhousegas intensity, 2002-2020: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Table 16. Costs of producing electricity from newplants, 2015 and <strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Table 17. Technically recoverable U.S. natural gasresources as of January 1, 2004: <strong>Energy</strong> InformationAdministration, Office of Integrated Analysis and Forecasting.Table 18. Technically recoverable U.S. crude oil resourcesas of January 1, 2004: <strong>Energy</strong> Information Administration,Office of Integrated Analysis and Forecasting.Figure Notes and SourcesNote: Tables indicated as sources in these notes refer<strong>to</strong> the tables in Appendixes A, B, C, and D of thisreport.Figure 1. <strong>Energy</strong> prices, 1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: Table A1.Figure 2. Delivered energy consumption by sec<strong>to</strong>r,1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A2.Figure 3. <strong>Energy</strong> consumption by fuel, 1980-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005). <strong>Projections</strong>: Tables A1 and A18.124 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Notes and SourcesFigure 4. <strong>Energy</strong> use per capita and per dollar ofgross domestic product, 1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: <strong>Energy</strong> use per capita: Calculated fromdata in Table A2. <strong>Energy</strong> use per dollar of GDP: TableA19.Figure 5. Electricity generation by fuel, 1980-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration (EIA), FormEIA-860B, “<strong>Annual</strong> Electric Genera<strong>to</strong>r Report—Nonutility”;EIA, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005); and Edison ElectricInstitute. <strong>Projections</strong>: Table A8.Figure 6. Total energy production and consumption,1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A1.Figure 7. <strong>Energy</strong> production by fuel, 1980-<strong>2030</strong>: His<strong>to</strong>ry:<strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August2005). <strong>Projections</strong>: Tables A1 and A17.Figure 8. Projected U.S. carbon dioxide emissions bysec<strong>to</strong>r and fuel, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, Emissions of Greenhouse Gases in theUnited States 2004, DOE/EIA-0573(2004) (Washing<strong>to</strong>n,DC, December 2005). <strong>Projections</strong>: Table A18.Figure 9. Sulfur dioxide emissions in selected States,1980-2003: U.S. Environmental Protection Agency, website http://cfpub.epa.gov/gdm.Figure 10. World oil prices in the AEO2005 andAEO<strong>2006</strong> reference cases: AEO2005: <strong>Energy</strong> InformationAdministration, AEO2005 National <strong>Energy</strong> ModelingSystem, run AEO2005.D102004A. AEO<strong>2006</strong>: Table A1.Figure 11. World oil prices in three AEO<strong>2006</strong> cases,1980-<strong>2030</strong>: Table C1.Figure 12. Changes in world oil price and U.S. realGDP in the AEO<strong>2006</strong> high and low price cases, 2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runsLP<strong>2006</strong>.D120105A and HP<strong>2006</strong>.D113005A.Figure 13. GDP elasticities <strong>with</strong> respect <strong>to</strong> oil pricechanges in the high price case, <strong>2006</strong>-<strong>2030</strong>: AEO<strong>2006</strong>National <strong>Energy</strong> Modeling System, run HP<strong>2006</strong>.D113005A. Note: The figure shows profiles of year-by-yearand period average GDP elasticities <strong>with</strong> respect <strong>to</strong> oil pricechanges in the high price case. The elasticities are computedas follows: (1) Year-by-year elasticity =(Percentagechange from baseline real GDP )/(Percentage change frombaseline oil price ). (2) Period average elasticity =(percentagechange in cumulative high price GDPs from cumulativebaseline GDPs )/(Percentage change in cumulative highprices from cumulative baseline prices ).Figure 14. Purvin & Gertz forecast for world oil productionby crude oil quality, 1990-2020: Purvin &Gertz, Inc., “Global Petroleum Market <strong>Outlook</strong>—An OnlineGlobal Service,” Petroleum Balances (2004), web sitewww.purvingertz.com/studies.html.Figure 15. Sulfur content specifications for U.S. petroleumproducts, 1990-2014: U.S. Environmental ProtectionAgency, “Tier 2/Gasoline Sulfur Final Rule” (Washing<strong>to</strong>n,DC, February 2000), web site www.epa.gov/tier2/finalrule.htm; “Control of Air Pollution From New Mo<strong>to</strong>rVehicles: Heavy-Duty Engine and Vehicle Standards andHighway Diesel Fuel Sulfur Control Requirements FinalRule” (Washing<strong>to</strong>n, DC, January 2001), web site www.epa.gov/fedrgstr/EPA-AIR/2001/January/Day-18/a01a.htm;and “Control of Emissions of Air Pollution From NonroadDiesel Engines and Fuel Final Rule” (Washing<strong>to</strong>n, DC,June 2004), web site www.epa.gov/fedrgstr/EPA-AIR/2004/June/Day-29/a11293a.htm.Figure 16. U.S. hydrotreating capacity, 1990-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, Office of Oiland Gas, derived from Form EI-810 “Monthly Refinery Report.”<strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> ModelingSystem, run AEO<strong>2006</strong>.D111905A.Figure 17. Market penetration of advanced technologiesin new cars, 2004 and <strong>2030</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 18. Market penetration of advanced technologiesin new light trucks, 2004 and <strong>2030</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 19. System elements for production of syntheticfuels from coal, natural gas, and biomass:<strong>Energy</strong> Information Administration, Office of IntegratedAnalysis and Forecasting.Figure 20. Mercury emissions from the electricitygeneration sec<strong>to</strong>r, 2002-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, runs AEO<strong>2006</strong>.D111905A andACI<strong>2006</strong>.D112305A.Figure 21. Mercury allowance prices, 2010-<strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runs AEO-<strong>2006</strong>.D111905A and ACI<strong>2006</strong>.D112305A.Figure 22. Coal-fired generating capacity retrofitted<strong>with</strong> activated carbon injection systems, 2010-<strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runs AEO-<strong>2006</strong>.D111905A and ACI<strong>2006</strong>.D112305A.Figure 23. Projected change in U.S. greenhouse gasintensity in three cases, 2002-2020: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, runs AEO<strong>2006</strong>.D111905A,LTRKITEN.D121905A, and HTRKITEN.D121905A.Figure 24. Average annual growth rates of real GDP,labor force, and productivity in three cases, 2004-<strong>2030</strong>: Table B4.Figure 25. Average annual unemployment, interest,and inflation rates, 2004-<strong>2030</strong>: Table A19.Figure 26. Sec<strong>to</strong>ral composition of output growthrates, 2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> ModelingSystem, run AEO<strong>2006</strong>.D111905A.Figure 27. Sec<strong>to</strong>ral composition of manufacturingoutput growth rates, 2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 125


Notes and SourcesFigure 28. <strong>Energy</strong> expenditures as share of gross domesticproduct, 1970-<strong>2030</strong>: His<strong>to</strong>ry: U.S. Departmen<strong>to</strong>f Commerce, Bureau of Economic Analysis; and <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 29. World oil prices in three cases, 1980-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005). <strong>Projections</strong>: Table C1.Figure 30. U.S. gross petroleum imports by source,2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 31. <strong>Energy</strong> use per capita and per dollar ofgross domestic product, 1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: <strong>Energy</strong> use per capita: Calculated fromdata in Table A2. <strong>Energy</strong> use per dollar of GDP: TableA19.Figure 32. Primary energy use by fuel, 2004-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005). <strong>Projections</strong>: Tables A1 and A17.Figure 33. Delivered energy use by fuel, 1980-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005). <strong>Projections</strong>: Table A2.Figure 34. Primary energy consumption by sec<strong>to</strong>r,1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A2.Figure 35. Delivered residential energy consumptionper capita by fuel, 1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, State <strong>Energy</strong> Data Report 2001,DOE/EIA-0214(2001) (Washing<strong>to</strong>n, DC, November 2004),and <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004)(Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>: AEO<strong>2006</strong>National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 36. Delivered residential energy consumptionby end use, 2001, 2004, 2015, and <strong>2030</strong>: His<strong>to</strong>ry:<strong>Energy</strong> Information Administration, “Residential <strong>Energy</strong>Consumption Survey.” <strong>Projections</strong>: Table A4. Note: Although2001 is the last year of his<strong>to</strong>rical data for many ofthe detailed end-use consumption concepts (e.g., spaceheating, cooling), 2004 data, taken from EIA’s <strong>Annual</strong> <strong>Energy</strong>Review 2004, is used as the base year for the more aggregatestatistics shown in AEO<strong>2006</strong>. For illustrative purposes,EIA estimates for the detailed end-use consumptionconcepts, consistent <strong>with</strong> this his<strong>to</strong>rical information, areused <strong>to</strong> show growth rates.Figure 37. Efficiency indica<strong>to</strong>rs for selected residentialappliances, 2004 and <strong>2030</strong>: <strong>Energy</strong> Information Administration,Technology Forecast Updates—Residentialand Commercial Building Technologies—Advanced AdoptionCase (Navigant Consulting, Inc., September 2004); andAEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO-<strong>2006</strong>.D111905A.Figure 38. Variation from reference case deliveredresidential energy use in three alternative cases,2004-<strong>2030</strong>: Table D1.Figure 39. Delivered commercial energy consumptionper capita by fuel, 1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, State <strong>Energy</strong> Data Report 2001,DOE/EIA-0214(2001) (Washing<strong>to</strong>n, DC, November 2004),and <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004)(Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>: AEO<strong>2006</strong>National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 40. Delivered commercial energy intensity byend use, 2004, 2015, and <strong>2030</strong>: Table A5.Figure 41. Efficiency indica<strong>to</strong>rs for selected commercialequipment, 2004 and <strong>2030</strong>: <strong>Energy</strong> InformationAdministration, Technology Forecast Updates—Residentialand Commercial Building Technologies—AdvancedAdoption Case (Navigant Consulting, Inc., September2004); and AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 42. Variation from reference case deliveredcommercial energy intensity in three alternativecases, 2004-<strong>2030</strong>: Table D1.Figure 43. Buildings sec<strong>to</strong>r electricity generationfrom advanced technologies in two alternativecases, <strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,runs AEO<strong>2006</strong>.D111905A, BLDHIGH.D112205A, andBLDBEST.D112205C.Figure 44. Industrial energy intensity by two measures,1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004)(Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>: AEO<strong>2006</strong>National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 45. <strong>Energy</strong> intensity in the industrial sec<strong>to</strong>r,2004: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runAEO<strong>2006</strong>.D111905A.Figure 46. Average growth in industrial output anddelivered energy consumption by sec<strong>to</strong>r, 2004-<strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO-<strong>2006</strong>.D111905A.Figure 47. Projected energy intensity in <strong>2030</strong> relative<strong>to</strong> 2004, by industry: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 48. Variation from reference case deliveredindustrial energy use in two alternative cases, 2004-<strong>2030</strong>: Table D2.Figure 49. Transportation energy use per capita,1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 50. Transportation travel demand by mode,1980-<strong>2030</strong>: His<strong>to</strong>ry: Federal Highway Administration,Highway Statistics 2002 (Washing<strong>to</strong>n, DC, November2003), Table VM-1, p. V-57, web site www.fhwa.dot.gov/policy/ohim/hs02/pdf/vm1.pdf, and previous annual issues.<strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.126 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Notes and SourcesFigure 51. Average fuel economy of new light-dutyvehicles, 1980-<strong>2030</strong>: His<strong>to</strong>ry: National Highway TrafficSafety Administration, Summary of Fuel Economy Performance(Washing<strong>to</strong>n, DC, March 2004), web site www.nhtsa.gov/cars/rules/CAFE/docs/Summary-Fuel-Economy-Pref-2004.pdf. <strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 52. Sales of advanced technology light-dutyvehicles by fuel type, 2015 and <strong>2030</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 53. Changes in projected transportation fueluse in two alternative cases, 2010 and <strong>2030</strong>: Table D3.Figure 54. Changes in projected transportation fuelefficiency in two alternative cases, 2010 and <strong>2030</strong>:Table D3.Figure 55. <strong>Annual</strong> electricity sales by sec<strong>to</strong>r, 1980-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong><strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A8.Figure 56. Electricity generation capacity additionsby fuel type, including combined heat and power,2005-<strong>2030</strong>: Table A9.Figure 57. Electricity generation capacity additions,including combined heat and power, by region andfuel, 2005-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 58. Levelized electricity costs for new plants,2015 and <strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 59. Electricity generation from nuclearpower, 1973-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:Table A8.Figure 60. Additions of renewable generating capacity,2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 61. Levelized and avoided costs for new renewableplants in the Northwest, 2015 and <strong>2030</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO-<strong>2006</strong>.D111905A.Figure 62. Electricity generation by fuel, 2004 and<strong>2030</strong>: Table A8.Figure 63. Grid-connected electricity generationfrom renewable energy sources, 1980-<strong>2030</strong>: His<strong>to</strong>ry:<strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August2005). <strong>Projections</strong>: Table A16. Note: Data for nonutilityproducers are not available before 1989.Figure 64. Nonhydroelectric renewable electricitygeneration by energy source, 2004-<strong>2030</strong>: Table A16.Figure 65. Fuel prices <strong>to</strong> electricity genera<strong>to</strong>rs,1995-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 66. Average U.S. retail electricity prices,1970-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A8.Figure 67. Cumulative new generating capacity bytechnology type in three economic growth cases,2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,runs AEO<strong>2006</strong>.D111905A, LM<strong>2006</strong>.D113005A, andHM<strong>2006</strong>.D112505B.Figure 68. Cumulative new generating capacity bytechnology type in three fossil fuel technologycases, 2004-<strong>2030</strong>: Table D6.Figure 69. Levelized electricity costs for new plantsby fuel type in two nuclear cost cases, 2015 and<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,runs AEO<strong>2006</strong>.D111905A, ADVNUC5A.D120105A, andADVNUC20.D120105A. Note: Includes generation and interconnectioncosts.Figure 70. Nonhydroelectric renewable electricitygeneration by energy source in three cases, 2010 and<strong>2030</strong>: Table D7.Figure 71. Natural gas consumption by sec<strong>to</strong>r, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong><strong>Energy</strong> Review 2004, DOE/EIA-0384 (2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A13.Figure 72. Increases in natural gas consumption byCensus division, 2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 73. Natural gas production by source, 1990-<strong>2030</strong>: Table A14.Figure 74. Net U.S. imports of natural gas by source,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>. D111905A.Figure 75. Lower 48 natural gas wellhead prices,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A14.Figure 76. Natural gas prices by end-use sec<strong>to</strong>r,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A13.Figure 77. Lower 48 natural gas wellhead prices inthree technology cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: Table D9.Figure 78. Natural gas production and net importsin three technology cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: Table D9.Figure 79. Lower 48 natural gas wellhead prices inthree price cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:Table C1.Figure 80. Net imports of liquefied natural gas inthree price cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runsAEO<strong>2006</strong>.D111905A, LP<strong>2006</strong>.D120105A, and HP<strong>2006</strong>.D113005A.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 127


Notes and SourcesFigure 81. Net imports of liquefied natural gas inthree LNG supply cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,runs AEO<strong>2006</strong>.D111905A, LOLNG06.D120405A, andHILNG06.D120405.Figure 82. Lower 48 natural gas wellhead prices inthree LNG supply cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: Table D11.Figure 83. World oil prices in the reference case,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A1.Figure 84. Domestic crude oil production by source,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,Petroleum Supply <strong>Annual</strong> 1990, DOE/EIA-0340(90) (Washing<strong>to</strong>n,DC, May 1991), and Office of Integrated Analysisand Forecasting. <strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 85. World oil prices in three cases, 1990-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005). <strong>Projections</strong>: Table C1.Figure 86. Total U.S. petroleum production in threeprice cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:Table C4.Figure 87. U.S. syncrude production from oil shale inthe high price case, 2004-<strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run HP<strong>2006</strong>.D113005A.Figure 88. Total U.S. crude oil production in threetechnology cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:Table D10.Figure 89. Alaskan oil production in the referenceand ANWR cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:Table D12.Figure 90. U.S. net imports of oil in the referenceand ANWR cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:Table D12.Figure 91. Consumption of petroleum products,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A11.Figure 92. Domestic refinery distillation capacity,1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A11.Figure 93. U.S. petroleum product demand and domesticpetroleum supply, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: Tables A11.Figure 94. Components of retail gasoline prices,2004, 2015, and <strong>2030</strong>: AEO<strong>2006</strong> <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 95. U.S. ethanol fuel consumption in threeprice cases, 1995-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, <strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005). <strong>Projections</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runsAEO<strong>2006</strong>.D111905A, LP<strong>2006</strong>.D120105A, and HP<strong>2006</strong>.D113005A.Figure 96. Coal-<strong>to</strong>-liquids and gas-<strong>to</strong>-liquids productionin two price cases, 2004-<strong>2030</strong>: Table C4.Figure 97. Coal production by region, 1970-<strong>2030</strong>: His<strong>to</strong>ry:1970-1990: <strong>Energy</strong> Information Administration(EIA), The U.S. Coal Industry, 1970-1990: Two Decades ofChange, DOE/EIA-0559 (Washing<strong>to</strong>n, DC, November2002); 1991-2000: EIA, Coal Industry <strong>Annual</strong>, DOE/EIA-0584 (various years); 2001-2004: EIA, <strong>Annual</strong> CoalReport 2004, DOE/EIA-0584(2004) (Washing<strong>to</strong>n, DC, November2005), and previous issues; and EIA, Short-Term<strong>Energy</strong> <strong>Outlook</strong> (Washing<strong>to</strong>n, DC, September 2005). <strong>Projections</strong>:Table A15.Figure 98. Distribution of domestic coal by demandand supply region, 2003 and <strong>2030</strong>: 2003: <strong>Energy</strong> InformationAdministration (EIA), Form EIA-6, “Coal DistributionReport—<strong>Annual</strong>.” <strong>Projections</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A. Note:The Eastern Demand Region includes the New England,Middle Atlantic, South Atlantic, East North Central, andEast South Central Census Divisions. The Western DemandRegion includes the West North Central, West SouthCentral, Mountain, and Pacific Census Divisions.Figure 99. U.S. coal mine employment by region,1970-<strong>2030</strong>: His<strong>to</strong>ry: 1970-1976: U.S. Department of theInterior, Bureau of Mines, Minerals Yearbook (variousyears); 1977-1978: <strong>Energy</strong> Information Administration(EIA), <strong>Energy</strong> Data Report, Coal—Bituminous and Lignite,DOE/EIA-0118 (Washing<strong>to</strong>n, DC, various years), and <strong>Energy</strong>Data Report, Coal—Pennsylvania Anthracite, DOE/EIA-0119 (Washing<strong>to</strong>n, DC, various years); 1979-1992:EIA, Coal Production, DOE/EIA-0118 (various years);1993-2000: EIA, Coal Industry <strong>Annual</strong>, DOE/EIA-0584(Washing<strong>to</strong>n, DC, various years); 2001-2004: EIA, <strong>Annual</strong>Coal Report 2004, DOE/EIA-0584(2004) (Washing<strong>to</strong>n, DC,November 2005), and previous issues. <strong>Projections</strong>: AEO-<strong>2006</strong> National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 100. Average minemouth price of coal by region,1990-<strong>2030</strong>: His<strong>to</strong>ry: 1990-2000: <strong>Energy</strong> InformationAdministration (EIA), Coal Industry <strong>Annual</strong>, DOE/EIA-0584 (various years); 2001-2004: EIA, <strong>Annual</strong> CoalReport 2004, DOE/EIA-0584(2004) (Washing<strong>to</strong>n, DC, November2005), and previous issues. <strong>Projections</strong>: AEO<strong>2006</strong>National <strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.128 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Notes and SourcesFigure 101. Changes in regional coal transportationrates, 2010, 2025, and <strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong>Modeling System, run AEO<strong>2006</strong>.D111905A.Figure 102. U.S. coal exports and imports, 1970-<strong>2030</strong>:His<strong>to</strong>ry: <strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005). <strong>Projections</strong>: Table A15.Figure 103. Electricity and other coal consumption,1970-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> Information Administration,<strong>Annual</strong> <strong>Energy</strong> Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n,DC, August 2005). <strong>Projections</strong>: Table A15.Figure 104. Coal consumption in the industrial andbuildings sec<strong>to</strong>rs and at coal-<strong>to</strong>-liquids plants, 2004,2015, and <strong>2030</strong>: Table A15.Figure 105. Projected variation from the referencecase projection of U.S. <strong>to</strong>tal coal demand in fourcases, <strong>2030</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,runs AEO<strong>2006</strong>.D111905A, LP<strong>2006</strong>.D120105A, HP<strong>2006</strong>.D113005A, LM<strong>2006</strong>.D113005A, and HM<strong>2006</strong>.D112505B.Figure 106. Average delivered coal prices in threecost cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration (EIA), Quarterly Coal Report, Oc<strong>to</strong>ber-December 2004, DOE/EIA-0121(2004/4Q) (Washing<strong>to</strong>n,DC, March 2005), and previous issues; EIA, Electric PowerMonthly, June 2005, DOE/EIA-0226(2005/06) (Washing<strong>to</strong>n,DC, June 2005); and EIA, <strong>Annual</strong> <strong>Energy</strong> Review 2004,DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC, August 2005).<strong>Projections</strong>: Table D13. Note: His<strong>to</strong>rical prices areweighted by consumption but exclude residential/commercialprices and export free-alongside-ship (f.a.s.) prices. Projectedprices are weighted in the same way as his<strong>to</strong>ricalprices and also exclude import quantities and prices.Figure 107. Carbon dioxide emissions by sec<strong>to</strong>r andfuel, 2004 and <strong>2030</strong>: 2004: <strong>Energy</strong> Information Administration,Emissions of Greenhouse Gases in the United States2004, DOE/EIA-0573(2004) (Washing<strong>to</strong>n, DC, December2005). <strong>Projections</strong>: Table A18.Figure 108. Carbon dioxide emissions in three economicgrowth cases, 1990-<strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong> InformationAdministration, Emissions of Greenhouse Gases inthe United States 2004, DOE/EIA-0573(2004) (Washing<strong>to</strong>n,DC, December 2005). <strong>Projections</strong>: Table B2.Figure 109. Carbon dioxide emissions in three technologycases, 2004, 2020, and <strong>2030</strong>: His<strong>to</strong>ry: <strong>Energy</strong>Information Administration, Emissions of GreenhouseGases in the United States 2004, DOE/EIA-0573(2004)(Washing<strong>to</strong>n, DC, December 2005). <strong>Projections</strong>: TableD4.Figure 110. Sulfur dioxide emissions from electricitygeneration, 1990-<strong>2030</strong>: His<strong>to</strong>ry: 1990 and 1995: U.S.Environmental Protection Agency, National Air PollutantEmissions Trends, 1990-1998, EPA- 454/R-00-002 (Washing<strong>to</strong>n,DC, March 2000). 2004: U.S. Environmental ProtectionAgency, Acid Rain Program Preliminary SummaryEmissions Report, Fourth Quarter 2004, web site www.epa.gov/airmarkets/emissions/prelimarp/index.html. <strong>Projections</strong>:AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System, runAEO<strong>2006</strong>.D111905A.Figure 111. Nitrogen oxide emissions from electricitygeneration, 1990-<strong>2030</strong>: His<strong>to</strong>ry: 1990 and 1995:U.S. Environmental Protection Agency, National Air PollutantEmissions Trends, 1990-1998, EPA- 454/R-00-002(Washing<strong>to</strong>n, DC, March 2000). 2004: U.S. EnvironmentalProtection Agency, Acid Rain Program Preliminary SummaryEmissions Report, Fourth Quarter 2004, web sitewww.epa.gov/airmarkets/emissions/prelimarp/index.html.<strong>Projections</strong>: AEO<strong>2006</strong> National <strong>Energy</strong> Modeling System,run AEO<strong>2006</strong>.D111905A.Figure 112. Mercury emissions from electricity generation,1995-<strong>2030</strong>: His<strong>to</strong>ry: 1995, 2000, and 2004:<strong>Energy</strong> Information Administration, Office of IntegratedAnalysis and Forecasting. <strong>Projections</strong>: AEO<strong>2006</strong> National<strong>Energy</strong> Modeling System, run AEO<strong>2006</strong>.D111905A.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 129


Appendixes


Appendix AReference Case <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 133


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Appendix BEconomic Growth Case Comparisons <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 165


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Appendix CPrice Case Comparisons <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 173


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Appendix DResults from Side Cases 184 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


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Appendix ENEMS Overview and Brief Description of CasesThe National <strong>Energy</strong> Modeling SystemThe projections in the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>(AEO<strong>2006</strong>) are generated from the National <strong>Energy</strong>Modeling System (NEMS) [1], developed and maintainedby the Office of Integrated Analysis andForecasting (OIAF) of the <strong>Energy</strong> Information Administration(EIA). In addition <strong>to</strong> its use in the developmen<strong>to</strong>f the AEO projections, NEMS is also used inanalytical studies for the U.S. Congress, the WhiteHouse, and other offices <strong>with</strong>in the Department of<strong>Energy</strong>. The AEO projections are also used by analystsand planners in other government agencies andoutside <strong>org</strong>anizations.The projections in NEMS are developed <strong>with</strong> the useof a market-based approach <strong>to</strong> energy analysis. Foreach fuel and consuming sec<strong>to</strong>r, NEMS balancesenergy supply and demand, accounting for economiccompetition among the various energy fuels andsources. The time horizon of NEMS is the long-termperiod through <strong>2030</strong>, approximately 25 years in<strong>to</strong> thefuture. In order <strong>to</strong> represent regional differences inenergy markets, the component modules of NEMSfunction at the regional level: the nine Census divisionsfor the end-use demand modules; productionregions specific <strong>to</strong> oil, gas, and coal supply and distribution;the North American Electric ReliabilityCouncil (NERC) regions and subregions for electricity;and the Petroleum Administration for DefenseDistricts (PADDs) for refineries.NEMS is <strong>org</strong>anized and implemented as a modularsystem. The modules represent each of the fuel supplymarkets, conversion sec<strong>to</strong>rs, and end-use consumptionsec<strong>to</strong>rs of the energy system. NEMS alsoincludes macroeconomic and international modules.The primary flows of information between each ofthese modules are the delivered prices of energy <strong>to</strong> theend user and the quantities consumed by product,region, and sec<strong>to</strong>r. The delivered fuel prices encompassall the activities necessary <strong>to</strong> produce, import,and transport fuels <strong>to</strong> the end user. The informationflows also include other data on such areas as economicactivity, domestic production, and internationalpetroleum supply.The integrating module controls the execution ofeach of the component modules. To facilitate modularity,the components do not pass information <strong>to</strong>each other directly but communicate through acentral data file. This modular design provides thecapability <strong>to</strong> execute modules individually, thusallowing decentralized development of the systemand independent analysis and testing of individualmodules, and permits the use of the methodology andlevel of detail most appropriate for each energy sec<strong>to</strong>r.NEMS calls each supply, conversion, and end-usedemand module in sequence until the delivered pricesof energy and the quantities demanded have converged<strong>with</strong>in <strong>to</strong>lerance, thus achieving an economicequilibrium of supply and demand in the consumingsec<strong>to</strong>rs. Solution is reached annually through thelong-term horizon. Other variables are also evaluatedfor convergence, such as petroleum product imports,crude oil imports, and several macroeconomicindica<strong>to</strong>rs.Each NEMS component represents the impacts andcosts of legislation and environmental regulationsthat affect that sec<strong>to</strong>r and reports key emissions.NEMS represents current legislation and environmentalregulations as of Oc<strong>to</strong>ber 31, 2005, such as the<strong>Energy</strong> Policy Acts of 2005 [2] and 1992 [3], the CleanAir Act Amendments (CAAA), and the costs of compliance<strong>with</strong> regulations, such as the Clean Air InterstateRule (CAIR) and Clean Air Mercury Rule(CAMR), both of which were finalized and publishedon the U.S. Environmental Protection Agency webpage in March 2005 and in the Federal Register inMay 2005.In general, the his<strong>to</strong>rical data used for the AEO<strong>2006</strong>projections were based on EIA’s <strong>Annual</strong> <strong>Energy</strong>Review 2004, published in August 2005 [4]; however,data were taken from multiple sources. In some cases,only partial or preliminary data were available for2004. Carbon dioxide emissions were calculated byusing carbon dioxide coefficients from the EIA report,Emissions of Greenhouse Gases in the United States2004, published in December 2005 [5].His<strong>to</strong>rical numbers are presented for comparisononly and may be estimates. Source documents shouldbe consulted for the official data values. Some definitionaladjustments were made <strong>to</strong> EIA data for the projections.For example, the transportation demandsec<strong>to</strong>r in AEO<strong>2006</strong> includes electricity used by railroads,which is included in the commercial sec<strong>to</strong>r inEIA’s consumption data publications. Footnotes inthe appendix tables of this report indicate the definitionsand sources of his<strong>to</strong>rical data.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 199


NEMS Overview and Brief Description of CasesThe AEO<strong>2006</strong> projections for 2005 and <strong>2006</strong> incorporateshort-term projections from EIA’s September2005 Short-Term <strong>Energy</strong> <strong>Outlook</strong> (STEO). For shorttermenergy projections, readers are referred <strong>to</strong>monthly updates of the STEO [6].Component ModulesThe component modules of NEMS represent the individualsupply, demand, and conversion sec<strong>to</strong>rs ofdomestic energy markets and also include internationaland macroeconomic modules. In general, themodules interact through values representing theprices or expenditures of energy delivered <strong>to</strong> the consumingsec<strong>to</strong>rs and the quantities of end-use energyconsumption.Macroeconomic Activity ModuleThe Macroeconomic Activity Module provides a set ofessential macroeconomic drivers <strong>to</strong> the energy modulesand a macroeconomic feedback mechanism<strong>with</strong>in NEMS. Key macroeconomic variables includegross domestic product (GDP), industrial output,interest rates, disposable income, prices, new housingstarts, new light-duty vehicle sales, and employment.The module uses the following models from GlobalInsight, Inc. (GII): Macroeconomic Model of the U.S.Economy, national Industry Model, and nationalEmployment Model. In addition, EIA has constructeda Regional Economic and Industry Model <strong>to</strong> projectregional economic drivers and a CommercialFloorspace Model <strong>to</strong> project 13 floorspace types in 9Census divisions. The accounting framework forindustrial output uses the North American IndustryClassification System (NAICS).International ModuleThe International Module represents world oil markets,calculating the average world oil price and computingsupply curves for 5 categories of importedcrude oil for the Petroleum Market Module (PMM) ofNEMS. The module allows changes in U.S. importrequirements. In addition, 17 international petroleumproduct supply curves, including supply curvesfor oxygenates and unfinished oils, are also calculatedand provided <strong>to</strong> the PMM. A world oil supply/demandbalance is created, including estimates for 16 oil consumptionregions and 19 oil production regions. Theoil production estimates include both conventionaland nonconventional supply recovery technologies.Residential and Commercial Demand ModulesThe Residential Demand Module projects energy consumptionin the residential sec<strong>to</strong>r by housing typeand end use, based on delivered energy prices, themenu of equipment available, the availability ofrenewable sources of energy, and housing starts. TheCommercial Demand Module projects energy consumptionin the commercial sec<strong>to</strong>r by building typeand nonbuilding uses of energy and by category of enduse, based on delivered prices of energy, availability ofrenewable sources of energy, and macroeconomicvariables representing interest rates and floorspaceconstruction.Both modules estimate the equipment s<strong>to</strong>ck for themajor end-use services, incorporating assessments ofadvanced technologies, including representations ofrenewable energy technologies and effects of bothbuilding shell and appliance standards. The CommercialDemand Module incorporates combined heat andpower (CHP) technology. The modules also includeprojections of distributed generation. Both modulesincorporate changes <strong>to</strong> “normal” heating and coolingdegree-days by Census division, based on State-levelpopulation projections. The Residential DemandModule projects that the average square footage ofboth new construction and existing structures isincreasing based on trends in the size of new constructionand the remodeling of existing homes.Industrial Demand ModuleThe Industrial Demand Module projects the consumptionof energy for heat and power and forfeeds<strong>to</strong>cks and raw materials in each of 16 industrygroups, subject <strong>to</strong> the delivered prices of energy andmacroeconomic variables representing employmentand the value of shipments for each industry. Asnoted in the description of the Macroeconomic Module,the value of shipments is based on NAICS. Theindustries are classified in<strong>to</strong> three groups—energyintensivemanufacturing, non-energy-intensive manufacturing,and nonmanufacturing. Of the 8 energyintensiveindustries, 7 are modeled in the IndustrialDemand Module, <strong>with</strong> components for boiler/steam/cogeneration, buildings, and process/assembly use ofenergy. Bulk chemicals are further disaggregated <strong>to</strong><strong>org</strong>anic, in<strong>org</strong>anic, resins, and agricultural chemicals.A representation of cogeneration and a recycling componentare also included. The use of energy for petroleumrefining is modeled in the Petroleum Market200 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


NEMS Overview and Brief Description of CasesModule, and the projected consumption is included inthe industrial <strong>to</strong>tals.Transportation Demand ModuleThe Transportation Demand Module projects consumptionof fuels in the transportation sec<strong>to</strong>r, includingpetroleum products, electricity, methanol,ethanol, compressed natural gas, and hydrogen, bytransportation mode, vehicle vintage, and size class,subject <strong>to</strong> delivered prices of energy fuels and macroeconomicvariables representing disposable personalincome, GDP, population, interest rates, and thevalue of output for industries in the freight sec<strong>to</strong>r.Fleet vehicles are represented separately <strong>to</strong> allowanalysis of CAAA and other legislative proposals.The module also includes a component <strong>to</strong> assess thepenetration of alternative-fuel vehicles explicitly. Theair transportation module explicitly represents theindustry practice of parking aircraft <strong>to</strong> reduce operatingcosts and the movement of aircraft from passenger<strong>to</strong> cargo markets as aircraft age [7]. For air freightshipments, the model employs narrow-body andwide-body aircraft only. The model also uses an infrastructureconstraint that limits growth in air travel <strong>to</strong>levels commensurate <strong>with</strong> industry-projected infrastructureexpansion and capacity growth.Electricity Market ModuleThe Electricity Market Module (EMM) representsgeneration, transmission, and pricing of electricity,subject <strong>to</strong> delivered prices for coal, petroleum products,natural gas, and biofuels; costs of generation byall generation plants, including capital costs; macroeconomicvariables for costs of capital and domesticinvestment; enforced environmental emissions lawsand regulations; and electricity load shapes anddemand. There are three primary submodules—capacity planning, fuel dispatching, and finance andpricing. Nonutility generation, distributed generation,and transmission and trade are modeled in theplanning and dispatching submodules. The levelizedcost of uranium fuel for nuclear generation is incorporateddirectly in the EMM.All specifically identified CAAA compliance optionsthat have been promulgated by the EPA are explicitlyrepresented in the capacity expansion and dispatchdecisions; those that have not been promulgated arenot incorporated (e.g., fine particulate proposal). Allspecifically identified EPACT2005 financial incentivesfor power generation expansion and dispatchhave been implemented. Several States, primarily inthe Northeast, have recently enacted air emissionregulations that affect the electricity generation sec<strong>to</strong>r.Where firm State compliance plans have beenannounced, regulations are represented in AEO<strong>2006</strong>.Renewable Fuels ModuleThe Renewable Fuels Module (RFM) includessubmodules representing renewable resource supplyand technology input information for central-station,grid-connected electricity generation technologies,including conventional hydroelectricity, biomass(wood, energy crops, and biomass co-firing), geothermal,landfill gas, solar thermal electricity, solarpho<strong>to</strong>voltaics, and wind energy. The RFM containsrenewable resource supply estimates representingthe regional opportunities for renewable energydevelopment. Investment tax credits for renewablefuels are incorporated, as currently legislated in theEPACT1992 and EPACT2005. EPACT1992 providesa 10-percent tax credit for business investment insolar energy (thermal non-power uses as well aspower uses) and geothermal power. EPACT2005increases the tax credit <strong>to</strong> 30 percent for solar energysystems installed before January 1, 2008. The creditshave no expiration dates.Production tax credits for wind, geothermal, landfillgas, and some types of hydroelectric and biomass-fueledplants are also represented. They providea tax credit of up <strong>to</strong> 1.9 cents per kilowatthour forelectricity produced in the first 10 years of plant operation.New plants that come on line before January 1,2008, are eligible <strong>to</strong> receive the credit. Significantchanges made for AEO<strong>2006</strong> in the accounting of newrenewable energy capacity resulting from Staterenewable portfolio standards, mandates, and goalsare described in Assumptions <strong>to</strong> the <strong>Annual</strong> <strong>Energy</strong><strong>Outlook</strong> <strong>2006</strong> [8].Oil and Gas Supply ModuleThe Oil and Gas Supply Module represents domesticcrude oil and natural gas supply <strong>with</strong>in an integratedframework that captures the interrelationshipsamong the various sources of supply: onshore, offshore,and Alaska by both conventional andnonconventional techniques, including natural gasrecovery from coalbeds and low-permeability formationsof sands<strong>to</strong>ne and shale. This framework analyzescash flow and profitability <strong>to</strong> computeinvestment and drilling for each of the supplysources, based on the prices for crude oil and natural<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 201


NEMS Overview and Brief Description of Casesgas, the domestic recoverable resource base, and thestate of technology. Oil and gas production functionsare computed at a level of 12 supply regions, including3 offshore and 3 Alaskan regions. This module alsorepresents foreign sources of natural gas, includingpipeline imports and exports <strong>to</strong> Canada and Mexico,and liquefied natural gas (LNG) imports and exports.Crude oil production quantities are input <strong>to</strong> thePetroleum Market Module in NEMS for conversionand blending in<strong>to</strong> refined petroleum products. Supplycurves for natural gas are input <strong>to</strong> the Natural GasTransmission and Distribution Module for use indetermining natural gas prices and quantities. InternationalLNG supply sources and options for regionalexpansions of domestic regasification capacity arerepresented, based on the projected regional costsassociated <strong>with</strong> international gas supply, liquefaction,transportation, and regasification and worldnatural gas market conditions.Natural Gas Transmission and DistributionModuleThe Natural Gas Transmission and DistributionModule represents the transmission, distribution,and pricing of natural gas, subject <strong>to</strong> end-use demandfor natural gas and the availability of domestic naturalgas and natural gas traded on the internationalmarket. The module tracks the flows of natural gas inan aggregate domestic pipeline network, connectingthe domestic and foreign supply regions <strong>with</strong> 12demand regions. This capability allows the analysis ofimpacts of regional capacity constraints in the interstatenatural gas pipeline network and the identificationof pipeline capacity expansion requirements. Theflow of natural gas is determined for both a peak andoff-peak period in the year. Key components of pipelineand distribu<strong>to</strong>r tariffs are included in separatepricing algorithms.Petroleum Market ModuleThe Petroleum Market Module (PMM) projects pricesof petroleum products, crude oil and product importactivity, and domestic refinery operations (includingfuel consumption), subject <strong>to</strong> the demand for petroleumproducts, the availability and price of importedpetroleum, and the domestic production of crude oil,natural gas liquids, and alcohol and biodiesel fuels.The module represents refining activities in the fivePetroleum Administration for Defense Districts(PADDs), using the same crude oil types representedin the International <strong>Energy</strong> Module. It explicitlymodels the requirements of CAAA and the costs ofau<strong>to</strong>motive fuels, such as conventional and reformulatedgasoline, and includes biofuels production forblending in gasoline and diesel.AEO<strong>2006</strong> reflects State legislation that bans or limitsthe use of the gasoline blending component methyltertiary butyl ether (MTBE) in Arizona, California,Colorado, Connecticut, Illinois, Indiana, Iowa, Kansas,Kentucky, Maine, Michigan, Minnesota, Missouri,Montana, Nebraska, New Hampshire, NewJersey, New York, North Carolina, Ohio, RhodeIsland, South Dakota, Vermont, Washing<strong>to</strong>n, andWisconsin. Furthermore, MTBE is assumed <strong>to</strong> bephased out by the end of 2008 as a result ofEPACT2005, which allows refiners <strong>to</strong> discontinue useof oxygenates in reformulated gasoline, and becauseof concern about MTBE contamination of surfacewater and groundwater resources.The nationwide phase-in of gasoline <strong>with</strong> an annualaverage sulfur content of 30 ppm between 2005 and2007, regulations that limit the sulfur content ofhighway diesel fuel <strong>to</strong> 15 ppm starting in mid-<strong>2006</strong>and of all nonroad and locomotive/marine diesel <strong>to</strong> 15ppm by mid-2012, and the renewable fuels standardof 7.5 billion gallons by 2012 are represented inAEO<strong>2006</strong>. Growth in demand and the costs of the regulationslead <strong>to</strong> capacity expansion for refinery-processingunits, assuming a financing ratio of 60percent equity and 40 percent debt, <strong>with</strong> a hurdle rateand an after-tax return on investment of about 9 percent[9]. End-use prices are based on the marginalcosts of production, plus markups representing productand distribution costs and State and Federal taxes[10]. Expansion of refinery capacity at existing sites ispermitted in all of the five refining regions modeled.Fuel ethanol and biodiesel are included in the PMM,because they are commonly blended in<strong>to</strong> petroleumproducts. The module allows ethanol blending in<strong>to</strong>gasoline at 10 percent by volume or less, as well aslimited quantities of E85, a blend of up <strong>to</strong> 85 percentethanol by volume. Ethanol is produced primarily inthe Midwest from corn or other starchy crops, and itis expected <strong>to</strong> be produced from cellulosic material inother regions in the future. Biodiesel is producedfrom soybean oil or yellow grease (primarily, recycledcooking oil). Both soybean oil biodiesel and yellowgrease biodiesel are assumed <strong>to</strong> be blended in<strong>to</strong> highwaydiesel.Alternative fuels such as coal-<strong>to</strong>-liquids (CTL) andgas-<strong>to</strong>-liquids (GTL) are modeled in the PMM, based202 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


NEMS Overview and Brief Description of Caseson their economics relative <strong>to</strong> competing feeds<strong>to</strong>cksand products. CTL facilities are likely <strong>to</strong> be built atlocations close <strong>to</strong> coal supply sources, where liquidproducts and electricity could also be distributed <strong>to</strong>nearby demand regions. GTL facilities may be buil<strong>to</strong>n the North Slope of Alaska but would compete <strong>with</strong>the Alaska Natural Gas Transportation System(ANGTS) for available natural gas resources. BothCTL and GTL are discussed in more detail in “Issuesin Focus.”Coal Market ModuleThe Coal Market Module (CMM) simulates mining,transportation, and pricing of coal, subject <strong>to</strong> theend-use demand for coal differentiated by heat andsulfur content. U.S. coal production is represented inthe CMM using 40 separate supply curves—differentiatedby region, mine type, coal rank, and sulfur content.The coal supply curves include a response <strong>to</strong>capacity utilization of mines, mining capacity, laborproductivity, and fac<strong>to</strong>r input costs (mining equipment,mining labor, and fuel requirements). <strong>Projections</strong>of U.S. coal distribution are determined in theCMM through the use of a linear programming algorithmthat determines the least-cost supplies of coalfor a given set of coal demands by demand region andsec<strong>to</strong>r, accounting for minemouth prices, transportationcosts, existing coal supply contracts, and sulfurand mercury allowance costs. Over the projectionhorizon, coal transportation costs in the CMM areprojected <strong>to</strong> vary in response <strong>to</strong> changes in railroadproductivity and the user cost of rail transportationequipment.The CMM produces projections of U.S. steam andmetallurgical coal exports and imports, in the contex<strong>to</strong>f world coal trade. The CMM’s linear programmingalgorithm determines the pattern of world coal tradeflows that minimizes the production and transportationcosts of meeting a pre-specified set of regionalworld coal import demands, subject <strong>to</strong> constraints onexport capacities and trade flows. The internationalcoal market component of the module computes tradein 3 types of coal for 16 export and 20 import regions.U.S. coal production and distribution are computedfor 14 supply and 14 demand regions.<strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> CasesTable E1 provides a summary of the cases used <strong>to</strong>derive the AEO<strong>2006</strong> projections. For each case, thetable gives the name used in this report, a briefdescription of the major assumptions underlying theprojections, a designation of the mode in which thecase was run in NEMS (either fully integrated, partiallyintegrated, or standalone), and a reference <strong>to</strong>the pages in the body of the report and in this appendixwhere the case is discussed. The following sectionsdescribe the cases listed in Table E1. The referencecase assumptions for each sec<strong>to</strong>r are described at website www.eia.doe.gov/oiaf/aeo/assumption/. Regionalresults and other details of the projections areavailable at web site www.eia.doe.gov/oiaf/aeo/supplement/.Macroeconomic Growth CasesIn addition <strong>to</strong> the AEO<strong>2006</strong> reference case, the loweconomic growth and high economic growth caseswere developed <strong>to</strong> reflect the uncertainty in projectionsof economic growth. The alternative cases areintended <strong>to</strong> show the effects of alternative growthassumptions on energy market projections. The casesare described as follows:• The low economic growth case assumes lowergrowth rates for population (0.5 percent per year),nonfarm employment (0.7 percent per year), andproductivity (1.8 percent per year), resulting inhigher prices and interest rates and lower growthin industrial output. In the low economic growthcase, economic output increases by 2.4 percent peryear from 2004 through <strong>2030</strong>, and growth in GDPper capita averages 1.9 percent per year.• The high economic growth case assumes highergrowth rates for population (1.1 percent per year),nonfarm employment (1.4 percent per year), andproductivity (2.7 percent per year). With higherproductivity gains and employment growth, inflationand interest rates are lower than in the referencecase, and consequently economic outputgrows at a higher rate (3.5 percent per year) thanin the reference case (3.0 percent). GDP per capitagrows by 2.4 percent per year, compared <strong>with</strong> 2.2percent in the reference case.Price CasesThe world oil price in AEO<strong>2006</strong> is represented by theaverage U.S. refiners acquisition costs of importedlow-sulfur light crude oil, in order <strong>to</strong> be more consistent<strong>with</strong> prices typically reported in the media. Thelow-sulfur light crude oil price is similar <strong>to</strong> the WestTexas Intermediate (WTI) crude oil price. AEO<strong>2006</strong>also includes a projection of the annual average U.S.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 203


NEMS Overview and Brief Description of CasesTable E1. Summary of the AEO<strong>2006</strong> casesCase nameReferenceLow Economic GrowthHigh Economic GrowthLow PriceHigh PriceResidential:2005 TechnologyResidential:High TechnologyResidential: BestAvailable TechnologyCommercial:2005 TechnologyCommercial:High TechnologyCommercial: BestAvailable TechnologyIndustrial:2005 TechnologyIndustrial:High TechnologyTransportation:2005 TechnologyDescriptionBaseline economic growth (3.0 percent per year), worldoil price, and technology assumptions. Completeprojection tables in Appendix A.Gross domestic product grows at an average annual rateof 2.4 percent from 2004 through <strong>2030</strong>. Subset ofprojection tables in Appendix B.Gross domestic product grows at an average annual rateof 3.5 percent from 2004 through <strong>2030</strong>. Subset ofprojection tables in Appendix B.More optimistic assumptions for worldwide crude oil andnatural gas resources than in the reference case. Worldoil prices are $28 per barrel in <strong>2030</strong>, compared <strong>with</strong> $50per barrel in the reference case, and lower 48 wellheadnatural gas prices $4.96 per thousand cubic feet in <strong>2030</strong>,compared <strong>with</strong> $5.92 in the reference case. Subset ofprojection tables in Appendix C.More pessimistic assumptions for worldwide crude oil andnatural gas resources than in the reference case. Worldoil prices are about $90 per barrel in <strong>2030</strong> and lower 48wellhead natural gas prices $7.72 per thousand cubic feetin <strong>2030</strong>. Subset of projection tables in Appendix C.Future equipment purchases based on equipmentavailable in 2005. Existing building shell efficiencies fixedat 2005 levels. Partial projection tables in Appendix D.Earlier availability, lower costs, and higher efficienciesassumed for more advanced equipment. Building shellefficiencies increase by 22 percent from 2003 values by<strong>2030</strong>. Partial projection tables in Appendix D.Future equipment purchases and new building shellsbased on most efficient technologies available. Buildingshell efficiencies increase by 26 percent from 2003 valuesby <strong>2030</strong>. Partial projection tables in Appendix D.Future equipment purchases based on equipmentavailable in 2005. Building shell efficiencies fixed at 2005levels. Partial projection tables in Appendix D.Earlier availability, lower costs, and higher efficienciesassumed for more advanced equipment. Building shellefficiencies for new and existing buildings increase by10.4 and 7.4 percent, respectively, from 1999 values by<strong>2030</strong>. Partial projection tables in Appendix D.Future equipment purchases based on most efficienttechnologies available. Building shell efficiencies for newand existing buildings increase by 12.4 and 8.9 percent,respectively, from 1999 values by <strong>2030</strong>. Partial projectiontables in Appendix D.Efficiency of plant and equipment fixed at 2005 levels.Partial projection tables in Appendix D.Earlier availability, lower costs, and higher efficienciesassumed for more advanced equipment. Partial projectiontables in Appendix D.Efficiencies for new equipment in all modes of travel fixedat 2005 levels. Partial projection tables in Appendix D.IntegrationmodeFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedWithcommercialWithcommercialWithcommercialWithresidentialWithresidentialWithresidentialReferencein textReference inAppendix E— —p. 62 p. 203p. 62 p. 203p. 64 p. 206p. 64 p. 206p. 68 p. 206p. 68 p. 207p. 68 p. 207p. 70 p. 207p. 70 p. 207p. 70 p. 207Standalone p. 73 p. 207Standalone p. 73 p. 207Standalone p. 76 p. 208204 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Table E1. Summary of the AEO<strong>2006</strong> cases (continued)NEMS Overview and Brief Description of CasesCase nameTransportation:High TechnologyTransportation:Alternative CAFEIntegrated2005 TechnologyIntegratedHigh TechnologyElectricity: AdvancedNuclear CostElectricity: NuclearVendor EstimateElectricity: Low FossilTechnologyElectricity: High FossilTechnologyElectricity: MercuryControl TechnologiesRenewables:Low RenewablesRenewables:High RenewablesOil and Gas:Slow TechnologyOil and Gas:Rapid TechnologyOil and Gas: Low LNGDescriptionReduced costs and improved efficiencies assumed foradvanced technologies. Partial projection tables inAppendix D.Assumes that manufacturers adhere <strong>to</strong> the proposedfleetwide increases in light truck CAFE standards <strong>to</strong> 24miler per gallon for model year 2011.Combination of the residential, commercial, industrial,and transportation 2005 technology cases, electricity lowfossil technology case, and assumption of renewabletechnologies fixed at 2005 levels. Partial projection tablesin Appendix D.Combination of the residential, commercial, industrial,and transportation high technology cases, electricity highfossil technology case, high renewables case, andadvanced nuclear cost case. Partial projection tables inAppendix D.New nuclear capacity assumed <strong>to</strong> have 20 percent lowercapital and operating costs in <strong>2030</strong> than in the referencecase. Partial projection tables in Appendix D.New nuclear capacity assumed <strong>to</strong> have lower capitalcosts based on vendor goals. Partial projection tables inAppendix D.New advanced fossil generating technologies assumednot <strong>to</strong> improve over time from <strong>2006</strong>. Partial projectiontables in Appendix D.Costs and efficiencies for advanced fossil-fired generatingtechnologies improve by 10 percent in <strong>2030</strong> fromreference case values. Partial projection tables inAppendix D.Cost and performance for halogenated activated carboninjection technology used <strong>to</strong> determine its impact onmercury removal requirements from coal-fired powerplants.New renewable generating technologies assumed not <strong>to</strong>improve over time from <strong>2006</strong>. Partial projection tables inAppendix D.Levelized cost of energy for nonhydropower renewablegenerating technologies declines by 10 percent in <strong>2030</strong>from reference case values. Lower capital cost forcellulose ethanol plants. Partial projection tables inAppendix D.Cost, finding rate, and success rate parameters adjustedfor 50-percent slower improvement than in the referencecase. Partial projection tables in Appendix D.Cost, finding rate, and success rate parameters adjustedfor 50-percent more rapid improvement than in thereference case. Partial projection tables in Appendix D.LNG imports exogenously set <strong>to</strong> 30 percent less thanthe results from the high price case, <strong>with</strong> remainingassumptions from the reference case. Partial projectiontables in Appendix D.IntegrationmodeReferencein textReference inAppendix EStandalone p. 76 p. 208Standalone p. 24 p. 208FullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedFullyintegratedp. 60 —p. 60 —p. 84 p. 208p. 84 p. 208p. 83 p. 209p. 83 p. 208p. 59 p. 209p. 84 p. 209p. 84 p. 209p. 88 p. 210p. 88 p. 209p. 90 p. 210<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 205


NEMS Overview and Brief Description of CasesTable E1. Summary of the AEO<strong>2006</strong> cases (continued)Case nameOil and Gas: High LNGDescriptionLNG imports exogenously set <strong>to</strong> 30 percent more thanthe results from the low price case, <strong>with</strong> remainingassumptions from the reference case. Partial projectiontables in Appendix D.IntegrationmodeReferencein textReference inAppendix EFullyintegratedp. 90 p. 210Oil and Gas: ANWRFederal oil and gas leasing permitted in theArctic National Wildlife Refuge starting in 2005. Partialprojection tables in Appendix D.Fullyintegratedp. 94 p. 210Coal: Low CostProductivity for coal mining and coal transportationassumed <strong>to</strong> increase more rapidly than in the referencecase. Coal mining wages, mine equipment and coaltransportation equipment costs assumed <strong>to</strong> be lower thanin the reference case. Partial projection tables inAppendix D.Fullyintegratedp. 102 p. 210Coal: High CostProductivity for coal mining and coal transportationassumed <strong>to</strong> increase more slowly than in the referencecase. Coal mining wages, mine equipment and coaltransportation equipment costs assumed <strong>to</strong> be higherthan in the reference case. Partial projection tables inAppendix D.Fullyintegratedp. 102 p. 210refiners acquisition cost of imported crude oil (IRAC),which is more representative of the average cost of allcrude oil used by refiners.The his<strong>to</strong>rical record shows substantial variability inworld oil prices, and there is arguably even moreuncertainty about future prices in the long term.AEO<strong>2006</strong> considers three price cases (reference case,low price case, and high price case) <strong>to</strong> allow an assessmen<strong>to</strong>f alternative views on the course of future oiland natural gas prices. In the reference case, world oilprices moderate from current levels through 2015before beginning <strong>to</strong> rise <strong>to</strong> $57 per barrel in <strong>2030</strong>(2004 dollars). The low and high price cases define awide range of potential price paths (from $34 <strong>to</strong> $96per barrel in <strong>2030</strong>). The two cases reflect differentassumptions about the availability of world oil andnatural gas resources and production costs; they donot assume changes in OPEC behavior. Because thelow and high price cases are not directly integrated<strong>with</strong> a world economic model, the impact of world oilprices on international economies is not directlyaccounted for in this analysis.• The reference case represents EIA’s current judgmentregarding the expected behavior of OPECproducers in the long term, adjusting production<strong>to</strong> keep world oil prices in a range of $40 <strong>to</strong> $50 perbarrel, in keeping <strong>with</strong> OPEC’s stated goal ofkeeping potential competi<strong>to</strong>rs from eroding itsmarket share. Because OPEC (and particularlythe Persian Gulf nations) is expected <strong>to</strong> be thedominant supplier of oil in the international marke<strong>to</strong>ver the long term, its production choices willsignificantly affect world oil prices.• The low price case assumes greater world crudeoil and natural gas resources which are less expensive<strong>to</strong> produce and a future market where all oiland natural gas production becomes more competitiveand plentiful than the reference case.• The high price case assumes that world crude oiland natural gas resources, including OPEC’s, arelower and require greater cost <strong>to</strong> produce thanassumed in the reference case.Buildings Sec<strong>to</strong>r CasesIn addition <strong>to</strong> the AEO<strong>2006</strong> reference case, threestandalone technology-focused cases using the Residentialand Commercial Demand Modules of NEMSwere developed <strong>to</strong> examine the effects of changes <strong>to</strong>equipment and building shell efficiencies.For the residential sec<strong>to</strong>r, the three technologyfocusedcases are as follows:• The 2005 technology case assumes that all futureequipment purchases are based only on the rangeof equipment available in 2005. Existing buildingshell efficiencies are assumed <strong>to</strong> be fixed at 2005levels.206 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


NEMS Overview and Brief Description of Cases• The high technology case assumes earlier availability,lower costs, and higher efficiencies formore advanced equipment [11]. Building shellefficiency in <strong>2030</strong> is assumed <strong>to</strong> be 22 percenthigher than the 2003 level.• The best available technology case assumes thatall future equipment purchases are made from amenu of technologies that includes only the mostefficient models available in a particular year,regardless of cost. Building shell efficiency in <strong>2030</strong>is assumed <strong>to</strong> be 26 percent higher than the 2003level.For the commercial sec<strong>to</strong>r, the three technologyfocusedcases are as follows:• The 2005 technology case assumes that all futureequipment purchases are based only on the rangeof equipment available in 2005. Building shell efficienciesare assumed <strong>to</strong> be fixed at 2005 levels.• The high technology case assumes earlier availability,lower costs, and/or higher efficiencies formore advanced equipment than in the referencecase [12]. Building shell efficiencies for new andexisting buildings in <strong>2030</strong> are assumed <strong>to</strong> be 10.4percent and 7.4 percent higher, respectively, thantheir 1999 levels—a 25-percent improvement relative<strong>to</strong> the reference case.• The best available technology case assumes thatall future equipment purchases are made from amenu of technologies that includes only the mostefficient models available in a particular year,regardless of cost. Building shell efficiencies fornew and existing buildings in <strong>2030</strong> are assumed <strong>to</strong>be 12.4 percent and 8.9 percent higher, respectively,than their 1999 values—a 50-percentimprovement relative <strong>to</strong> the reference case.Two additional integrated cases were developed, incombination <strong>with</strong> assumptions for electricity generationfrom renewable fuels, <strong>to</strong> analyze the sensitivityof the projections <strong>to</strong> changes in generating technologiesthat use renewable fuels and in the availability ofrenewable energy sources. For the Residential andCommercial Demand Modules:• The high renewables case assumes greater improvementsin residential and commercial pho<strong>to</strong>voltaicsystems than in the reference case. Thehigh renewables assumptions result in capitalcost estimates for <strong>2030</strong> that are approximately 10percent lower than reference case costs for distributedpho<strong>to</strong>voltaic technologies.• The low renewables case assumes that costs andperformance levels for residential and commercialpho<strong>to</strong>voltaic systems remain constant at 2005 levelsthrough <strong>2030</strong>.Industrial Sec<strong>to</strong>r CasesIn addition <strong>to</strong> the AEO<strong>2006</strong> reference case, twostandalone cases using the Industrial Demand Moduleof NEMS were developed <strong>to</strong> examine the effects ofless rapid and more rapid technology change andadoption. The Industrial Demand Module was alsoused as part of an integrated high renewables case.For the industrial sec<strong>to</strong>r:• The 2005 technology case holds the energy efficiencyof plant and equipment constant at the2005 level over the projection period. In this case,delivered energy intensity falls by 0.9 percentannually. Because the level and composition ofindustrial output are the same in the reference,2005 technology, and high technology cases, anychange in primary energy intensity in the twotechnology cases is attributable <strong>to</strong> efficiencychanges. The 2005 technology case was run <strong>with</strong>only the Industrial Demand Module, rather thanin fully integrated NEMS runs. Consequently, nopotential feedback effects from energy marketinteractions were captured.• The high technology case assumes earlier availability,lower costs, and higher efficiency for moreadvanced equipment [13] and a more rapid rate ofimprovement in the recovery of biomass byproductsfrom industrial processes (0.7 percent peryear, as compared <strong>with</strong> 0.4 percent per year in thereference case). The same assumption is alsoincorporated in the integrated high renewablescase, which focuses on electricity generation.While the choice of 0.7 percent recovery is anassumption of the high technology case, it is basedon the expectation that there would be higherrecovery rates and substantially increased use ofCHP in that case. Changes in aggregate energyintensity result both from changing equipmentand production efficiency and from changing compositionof industrial output. Because the compositionof industrial output remains the same as inthe reference case, delivered energy intensity fallsby 1.4 percent annually in the high technologycase. In the reference case, delivered energy intensityfalls by 1.2 percent annually between 2004and <strong>2030</strong>.<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 207


NEMS Overview and Brief Description of CasesTransportation Sec<strong>to</strong>r CasesIn addition <strong>to</strong> the AEO<strong>2006</strong> reference case, twostandalone cases using the Transportation DemandModule of NEMS were developed <strong>to</strong> examine theeffects of less rapid technology change and adoptionand more rapid technology change and adoption. Forthe transportation sec<strong>to</strong>r:• The 2005 technology case assumes that new vehiclefuel efficiencies remain constant at 2005 levelsthrough the projection horizon, unless emissionsand/or efficiency regulations require the implementationof technology that affects vehicle efficiency.For example, the new light truck corporateaverage fuel economy (CAFE) standards requirean increase in fuel economy through 2007, andincreases in heavy truck emissions standards arerequired through 2010. As a result, the technologyavailable for light truck efficiency improvement isfrozen at 2007 levels, and the technology available<strong>to</strong> heavy trucks is frozen at 2010 levels.• In the high technology case, the characteristics oflight-duty conventional and alternative-fuel vehiclesreflect more optimistic assumptions aboutincremental improvements in fuel economy andcosts [14]. In the air travel sec<strong>to</strong>r, the high technologycase reflects lower costs for improved thermodynamics,advanced aerodynamics, andweight-reducing materials, providing a 25-percentimprovement in new aircraft efficiency relative<strong>to</strong> the reference case in 2025. In the freighttruck sec<strong>to</strong>r, the high technology case assumesmore incremental improvement in fuel efficiencyfor engine and emissions control technologies[15]. More optimistic assumptions for fuel efficiencyimprovements are also made for the railand shipping sec<strong>to</strong>rs.Both cases were run <strong>with</strong> only the TransportationDemand Module rather than as fully integratedNEMS runs. Consequently, no potential macroeconomicfeedback on travel demand was captured, norwere changes in fuel prices incorporated.In addition <strong>to</strong> these standalone cases, EIA also developedan alternative CAFE case designed <strong>to</strong> examinethe potential energy impacts of proposed reforms <strong>to</strong>the structure of CAFE standards for light trucks andincreases in light truck CAFE standards for modelyears 2008 through 2011 [16]. The alternative CAFEcase assumes that manufacturers will adhere <strong>to</strong> theproposed fleet-wide increases in light truck CAFEstandards, <strong>to</strong> 24 miles per gallon for model year 2011.Electricity Sec<strong>to</strong>r CasesIn addition <strong>to</strong> the reference case, four integratedcases <strong>with</strong> alternative electric power assumptionswere developed <strong>to</strong> analyze uncertainties about thefuture costs and performance of new generating technologies.Two of the cases examine alternativeassumptions for nuclear power technologies, and twoexamine alternative assumptions for fossil fuel technologies.Reference case values for technology characteristicsare determined in consultation <strong>with</strong> industryand government specialists; however, there is alwaysuncertainty surrounding newer, untested designs.The electricity cases analyze what could happen ifcosts of advanced designs are either higher or lowerthan assumed in the reference case. The cases arefully integrated <strong>to</strong> allow feedback between the potentialshifts in fuel consumption and fuel prices.Nuclear Technology Cases• The cost assumptions for the advanced nuclearcost case reflect a 20-percent reduction in the capitaland operating costs for advanced nuclear technologyin <strong>2030</strong>, relative <strong>to</strong> the reference case. Thereference case, which assumes that some learningoccurs regardless of new orders and construction,projects a 14-percent reduction in the capital costsof nuclear power plants between <strong>2006</strong> and <strong>2030</strong>.The advanced nuclear cost case assumes a 31-percent reduction between <strong>2006</strong> and <strong>2030</strong>.• The nuclear vendor estimate case uses assumptionsthat are consistent <strong>with</strong> estimates from BritishNuclear Fuels Limited (Westinghouse) for themanufacture of its AP1000 advanced pressurized-waterreac<strong>to</strong>r. In this case, the overnight capitalcost of a new advanced nuclear unit isassumed <strong>to</strong> be 18 percent lower initially thanassumed in the reference case and 44 percentlower in <strong>2030</strong>. In both of the alternative nuclearcases, cost and performance characteristics for allother technologies are as assumed in the referencecase.Fossil Technology Cases• In the high fossil technology case, capital costs,heat rates, and operating costs for advanced coaland natural gas generating technologies areassumed <strong>to</strong> be 10 percent lower than referencecase levels in <strong>2030</strong>. Because learning is assumed<strong>to</strong> occur in the reference case, costs and performancein the high case are reduced from initiallevels by more than 10 percent. Heat rates in the208 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


NEMS Overview and Brief Description of Caseshigh fossil technology case fall <strong>to</strong> between 16 and22 percent below initial levels, and capital costsare reduced by 22 <strong>to</strong> 26 percent between <strong>2006</strong> and<strong>2030</strong>, depending on the technology.• In the low fossil technology case, capital costs andheat rates for coal gasification combined-cycleunits and advanced combustion turbine and combined-cycleunits do not decline during the projectionperiod but remain fixed at the <strong>2006</strong> valuesassumed in the reference case.Details about annual capital costs, operating andmaintenance costs, plant efficiencies, and other fac<strong>to</strong>rsused in the high and low fossil technology casesare described in the detailed assumptions, whichare available at web site www.eia.doe.gov/oiaf/aeo/assumption/.An additional integrated case was also run <strong>to</strong> analyzethe potential impacts of improved mercury controltechnologies <strong>to</strong> comply <strong>with</strong> CAMR. A detaileddescription of the rule is included in “Legislation andRegulations.”• In the mercury control technology case, the costand performance for halogenated activated carboninjection technology are used <strong>to</strong> determine itsimpact on mercury removal requirements fromcoal-fired power plants. Conventional activatedcarbon injection has not been effective in achievinghigh mercury removal rates from subbituminousand lignite coals, but preliminary tests showthat high levels of mercury removal can beachieved <strong>with</strong> relatively low rates of brominatedactivated carbon injection. If brominated activatedcarbon becomes commercially available by2018, it could have significant impacts on the cos<strong>to</strong>f achieving mercury removal targets.Renewable Fuels CasesIn addition <strong>to</strong> the AEO<strong>2006</strong> reference case, two integratedcases <strong>with</strong> alternative assumptions aboutrenewable fuels were developed <strong>to</strong> examine the effectsof less aggressive and more aggressive improvementin renewable technologies. The cases are as follows:• In the low renewables case, capital costs, operationsand maintenance costs, and performancelevels for wind, solar, biomass, and geothermalresources are assumed <strong>to</strong> remain constant at <strong>2006</strong>levels through <strong>2030</strong>.• In the high renewables case, the levelized costs ofenergy for nonhydroelectric generating technologiesusing renewable resources are assumed <strong>to</strong>decline <strong>to</strong> 10 percent below the reference casecosts for the same resources in <strong>2030</strong>. For mostrenewable resources, lower costs are accomplishedby reducing the capital costs of new plantconstruction. To reflect recent trends in windenergy cost reductions, however, it is assumedthat wind plants ultimately achieve the 10-percentcost reduction through a combination ofperformance improvement (increased capacityfac<strong>to</strong>r) and capital cost reductions. Biomass suppliesare also assumed <strong>to</strong> be 10 percent greater foreach supply step. <strong>Annual</strong> limits are placed on thedevelopment of geothermal sites, because theyrequire incremental development <strong>to</strong> assure thatthe resource is viable. In the high renewables case,the annual limits on capacity additions at geothermalsites are raised from 25 megawatts per yearthrough 2015 <strong>to</strong> 50 megawatts per year for all projectionyears. All other cases are assumed <strong>to</strong> retainthe 25-megawatt limit through 2015. Other generatingtechnologies and projection assumptionsremain unchanged from those in the referencecase. In the high renewables case, the rate ofimprovement in recovery of biomass byproductsfrom industrial processes is also increased. Morerapid improvement in cellulosic ethanol productiontechnology is also assumed, resulting in lowercost for cellulose ethanol at any level of outputthan in the reference case.Oil and Gas Supply CasesTwo alternative technology cases were created <strong>to</strong>assess the sensitivity of the projections <strong>to</strong> changes inthe assumed rates of progress in oil and natural gassupply technologies. In addition, high and low LNGsupply cases were developed <strong>to</strong> examine the impactsof variations in LNG supply on the domestic naturalgas market.• In the rapid technology case, the parameters representingthe effects of technological progresson finding rates, drilling, lease equipment andoperating costs, and success rates for conventionaloil and natural gas drilling in the referencecase were increased by 50 percent. A number ofkey exploration and production technologies forunconventional natural gas were also increasedby 50 percent in the rapid technology case. KeyCanadian supply parameters were also modified<strong>to</strong> simulate the assumed impacts of more rapid oiland natural gas technology penetration on theCanadian supply potential. All other parameters<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 209


NEMS Overview and Brief Description of Casesin the model were kept at the reference case values,including technology parameters for othermodules, parameters affecting foreign oil supply,and assumptions about imports and exports ofLNG and natural gas trade between the UnitedStates and Mexico. Specific detail by region andfuel category is presented in Assumptions <strong>to</strong> the<strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>, available at website www. eia.doe.gov/oiaf/aeo/assumption/.• In the slow technology case, the parameters representingthe effects of technological progress onfinding rates, drilling, lease equipment and operatingcosts, and success rates for conventional oiland natural gas drilling in the AEO<strong>2006</strong> referencecase were reduced by 50 percent. A number of keyexploration and production technologies forunconventional natural gas were also reduced by50 percent in the slow technology case. Key Canadiansupply parameters were also modified <strong>to</strong> simulatethe assumed impacts of slow oil and naturalgas technology penetration on Canadian supplypotential. All other parameters in the model werekept at the reference case values.• The high LNG case exogenously specifies LNGimports at levels 30 percent higher than projectedin the low price case. The intent is <strong>to</strong> project thepotential impact on domestic markets if LNGimports turn out <strong>to</strong> be higher than projected inthe reference case.• The low LNG case exogenously specifies LNGimports at levels 30 percent lower than projectedin the high price case. The intent is <strong>to</strong> project thepotential impact on domestic markets if LNGimports turn out <strong>to</strong> be lower than projected in thereference case.• The ANWR case assumes that the U.S. Congresswill approve leasing in the 1002 Area Federallands in the Arctic National Wildlife Refuge for oiland natural gas exploration and production.Petroleum Market CasesIn addition <strong>to</strong> the AEO<strong>2006</strong> reference case, a case thatis part of the integrated high renewable case evaluatesthe impact of more optimistic assumptions aboutbiomass supplies on the production and use of cellulosicethanol.• The high renewables case uses more optimisticassumptions about the availability of renewableenergy sources. The supply curve for cellulosicethanol is shifted in each projection year relative<strong>to</strong> the reference case, making larger quantitiesavailable at any given price earlier than in the referencecase. More rapid improvement in cellulosicethanol production technology is also assumed,resulting in lower cost for cellulose ethanol at anylevel of output than in the reference case.Coal Market CasesTwo alternative coal cost cases examine the impactson U.S. coal supply, demand, distribution, and pricesthat result from alternative assumptions about miningproductivity, labor costs, and mine equipmentcosts on the production side, and railroad productivityand rail equipment costs on the transportationside. For the coal cost cases, adjustments <strong>to</strong> the referencecase assumptions for coal mining and railroadproductivity were based on variations in growth ratesobserved in the data for these industries since 1980.The low and high coal cost cases represent fully integratedNEMS runs, <strong>with</strong> feedback from the macroeconomicactivity, international, supply, conversion, andend-use demand modules.• In the low coal cost case, average annual productivitygrowth rates for coal mining and railroadproductivity are 2.5 percent and 2.6 percenthigher, respectively, than in the AEO<strong>2006</strong> referencecase. On the mining side, adjustments <strong>to</strong> referencecase productivity are applied at the supplycurve level, while adjustments <strong>to</strong> railroad productivityare made at the regional level. Coal miningwages and mine equipment costs, which remainconstant in real dollars in the reference case, areassumed <strong>to</strong> decline by 1.0 percent per year in realterms in the low coal cost case. Railroad equipmentcosts, which are projected <strong>to</strong> increase by 2.1percent per year in constant dollars in the referencecase, are assumed <strong>to</strong> increase at a slower rateof 1.1 percent per year.• In the high coal cost case, average annual productivitygrowth rates for coal mining and railroadproductivity are 2.5 percent and 2.6 percentlower, respectively, than in the AEO<strong>2006</strong> referencecase. Coal mining wages and mine equipmentcosts are assumed <strong>to</strong> increase by 1.0 percentper year in real terms. Railroad equipment costsare assumed <strong>to</strong> increase by 3.1 percent per year.Additional details about the productivity, wage, andequipment cost assumptions for the reference andalternative coal cost cases are provided in AppendixD.210 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


NEMS Overview and Brief Description of CasesNotes[1]<strong>Energy</strong> Information Administration, The National<strong>Energy</strong> Modeling System: An Overview 2003, DOE/EIA-0581(2003) (Washing<strong>to</strong>n, DC, March 2003).[2]<strong>Energy</strong> Policy Act of 2005, P.L. 109-58.[3]<strong>Energy</strong> Policy Act of 1992, P.L. 102-486, Title III, Section303, and Title V, Sections 501 and 507.[4]<strong>Energy</strong> Information Administration, <strong>Annual</strong> <strong>Energy</strong>Review 2004, DOE/EIA-0384(2004) (Washing<strong>to</strong>n, DC,August 2005).[5]<strong>Energy</strong> Information Administration, Emissions ofGreenhouse Gases in the United States 2004, DOE/EIA-0573(2004) (Washing<strong>to</strong>n, DC, December 2005).[6]<strong>Energy</strong> Information Administration, Short-Term<strong>Energy</strong> <strong>Outlook</strong>, web site www.eia.doe.gov/emeu/steo/pub/contents.html. Portions of the preliminary informationwere also used <strong>to</strong> initialize the NEMS PetroleumMarket Module projection.[7]Jet Information Services, Inc., World Jet Inven<strong>to</strong>ryYear-End 2003 (Woodinville, WA, March 2004), andpersonal communication from Bill Francoins (JetInformation Services) and Thomas C. Hoang (Boeing).[8]<strong>Energy</strong> Information Administration, Assumptions <strong>to</strong>the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>, DOE/EIA-0554(<strong>2006</strong>) (Washing<strong>to</strong>n, DC, <strong>to</strong> be published).[9]The hurdle rate for a coal-<strong>to</strong>-liquids (CTL) plant isassumed <strong>to</strong> be 12.3 percent because of the higher economicrisk involved in this technology.[10]For gasoline blended <strong>with</strong> ethanol, the tax credit of 51cents (nominal) per gallon of ethanol is assumed <strong>to</strong> beextended through <strong>2030</strong>, based on the fact that the ethanoltax credit has been continuously in force for thepast 25 years and was recently extended from 2007 <strong>to</strong>2010 by the American Jobs Creation Act of 2004.[11]High technology assumptions are based on <strong>Energy</strong>Information Administration, EIA—Technology ForecastUpdates—Residential and Commercial BuildingTechnologies—Advanced Adoption Case (NavigantConsulting, Inc., September 2004).[12]High technology assumptions are based on <strong>Energy</strong>Information Administration, EIA—Technology ForecastUpdates—Residential and Commercial BuildingTechnologies—Advanced Adoption Case (NavigantConsulting, Inc., September 2004).[13]These assumptions are based in part on <strong>Energy</strong> InformationAdministration, Industrial Technology andData Analysis Supporting the NEMS Industrial Model(FOCIS Associates, Oc<strong>to</strong>ber 2005).[14]<strong>Energy</strong> Information Administration, Documentationof Technologies Included in the NEMS Fuel EconomyModel for Passenger Cars and Light Trucks (<strong>Energy</strong>and Environmental Analysis, September 2003).[15]A. Vyas, C. Saricks, and F. S<strong>to</strong>dolsky, Projected Effec<strong>to</strong>f Future <strong>Energy</strong> Efficiency and Emissions ImprovingTechnologies on Fuel Consumption of Heavy Trucks(Argonne, IL: Argonne National Labora<strong>to</strong>ry, 2001).[16]National Highway Traffic Safety Administration,Average Fuel Economy Standards for Light TrucksModel Years 2008-2011, 49 CFR Parts 523, 533, and537, Docket No. 2005-22223, RIN 2127-AJ61 (Washing<strong>to</strong>n,DC, August 2005).<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 211


Appendix FRegional Maps<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 213


Regional Maps214 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Regional Maps <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 215


Regional MapsF4. Natural Gas Transmission and Distribution Model RegionsAlaskaMacKenzieW. CanadaPrimary FlowsSecondary FlowsPipeline Border CrossingSpecific LNG TerminalsGeneric LNG TerminalsE. CanadaCanadaOffshoreand LNGPacific(9)Pacific(9)CA(12)Mountain(8)W. North Central(4)E. NorthCentral(3)Mid.Atlantic(2)NewEngl.(1)AZ/NM(11)W. South Central(7)E. SouthCentral(6)S. Atlantic(5)MexicoFL(10)BahamasSource: <strong>Energy</strong> Information Administration. Office of Integrated Analysis and Forecasting.216 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Regional Maps <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 217


Regional Maps500 0SCALE IN MILES1000 0SCALE IN MILES218 <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong>


Regional Maps<strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 219


Appendix GConversion Fac<strong>to</strong>rs <strong>Energy</strong> Information Administration / <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> 221


The <strong>Energy</strong> Information Administration<strong>2006</strong> EIA <strong>Energy</strong> <strong>Outlook</strong> and Modeling ConferenceRenaissance Hotel, Washing<strong>to</strong>n, DC March 27, <strong>2006</strong>8:30 a.m. - 8:45 Opening Remarks - Guy F. Caruso, Administra<strong>to</strong>r, <strong>Energy</strong> Information Administration8:50 a.m. - 9:20 Overview of the <strong>Annual</strong> <strong>Energy</strong> <strong>Outlook</strong> <strong>2006</strong> - John Conti, Direc<strong>to</strong>r,Office of Integrated Analysis and Forecasting, <strong>Energy</strong> Information Administration9:25 a.m. - 10:25 Keynote Address: International Oil Markets - Speaker <strong>to</strong> be announced10:40 a.m. - 12:10 Concurrent Sessions A1. Global Oil Market <strong>Outlook</strong>: Short-Term Issues2. The Future Relationship of Oil and Natural Gas Prices in the U.S.3. Nuclear—Is EPACT Enough?1:40 p.m. - 3:10 Concurrent Sessions B1. World <strong>Outlook</strong> for Unconventional Oil Production2. Globalization of the Natural Gas Market3. Return <strong>to</strong> Coal—From Where and at What Price?3:25 p.m. - 4:55 Concurrent Sessions C1. How Far Ethanol?2. Unconventional Natural Gas: Industry Savior or Bridge?3. If Not Natural Gas Then ...?HotelThe conference will be held at the Renaissance Hotel, (202) 898-9000. The Renaissance Hotel is located at 999 NinthStreet, NW, Washing<strong>to</strong>n, DC 20001, near the Gallery Place Metro station.InformationFor information, contact Peggy Wells, <strong>Energy</strong> Information Administration, at (202) 586-8845, peggy.wells@eia.doe.gov.Conference HandoutsHandouts provided in advance by the conference speakers will be posted online as available, at www.eia.doe.gov/oiaf/aeo/conf/handouts.html. They will not be provided at the conference.Register online at www.eia.doe.gov/oiaf/aeo/conf/Or mail or fax this form <strong>to</strong>:Peggy Wells<strong>Energy</strong> Information Administration, EI-841000 Independence Avenue, SWWashing<strong>to</strong>n, DC 20585Phone: (202) 586-8845Fax: (202) 586-3045Conference RegistrationConference registration is free, but space is limited.Please register by March 20, <strong>2006</strong>.Or register by e-mail <strong>to</strong> peggy.wells@eia.doe.gov.Please provide the information requested below:Name: _____________________________________________Title: _____________________________________________Organization: _______________________________________Address: ______________________________________________________________________________________Phone: ___________________________________________Fax: ___________________________________________E-mail: ___________________________________________Please indicate which sessions you will be attending: Opening Remarks/Overview/Keynote AddressConcurrent Sessions A Global Oil Market <strong>Outlook</strong>: Short-Term Issues The Future Relationship of Oil and Natural GasPrices in the U.S. Nuclear—Is EPACT Enough?Concurrent Sessions B World <strong>Outlook</strong> for Unconventional Oil Production Globalization of the Natural Gas Market Return <strong>to</strong> Coal—From Where and at What Price?Concurrent Sessions C How Far Ethanol? Unconventional Natural Gas: Industry Savioror Bridge? If Not Natural Gas Then ...?


AnnouncingThe Fourteenth <strong>Annual</strong>EIA <strong>Energy</strong> <strong>Outlook</strong>and Modeling ConferenceMarch 27, <strong>2006</strong>Renaissance HotelWashing<strong>to</strong>n, DCSee Previous Page for Information andRegistration Form

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