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Deep carbon reductions in California require electrification and ...

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Environ. Res. Lett. 8 (2013) 014038a list of over 200 unique efficiency measures whilethe transportation sector adopted fuel efficiency potentialfrom exist<strong>in</strong>g national <strong>and</strong> State studies. Industry technicalpotential estimates were based on CEC reports disaggregatedby <strong>in</strong>dustry sector <strong>and</strong> end-use (process heat<strong>in</strong>g, boiler-basedsystems, motor systems, heat<strong>in</strong>g, ventilation, air-condition<strong>in</strong>g,etc).Electrification projections are based on stock model<strong>in</strong>gfor build<strong>in</strong>g water <strong>and</strong> space heat<strong>in</strong>g <strong>and</strong> for passengervehicles assum<strong>in</strong>g aggressive transition to electricity-basedheat<strong>in</strong>g systems <strong>in</strong> build<strong>in</strong>gs start<strong>in</strong>g <strong>in</strong> 2015 <strong>and</strong> to alternativepassenger vehicles <strong>in</strong> transportation, respectively, with marketpenetration assumptions described <strong>in</strong> the supplementarymaterial (available at stacks.iop.org/ERL/8/014038/mmedia).The <strong>carbon</strong> sav<strong>in</strong>gs potential for energy conservationwas estimated us<strong>in</strong>g a simple adoption rate model of energysav<strong>in</strong>g actions. From a database of historical non-energyactions, long-term adoption rates were estimated for a setof conservation actions <strong>in</strong> home energy usage <strong>and</strong> passengervehicle mile reduction, as well as a number of other measures<strong>in</strong> diet, recycl<strong>in</strong>g, <strong>and</strong> consumption. Carbon sav<strong>in</strong>gs asa function of time were estimated by calculat<strong>in</strong>g <strong>carbon</strong><strong>in</strong>tensities for electricity (CO 2 /kWh) <strong>and</strong> transportation(CO 2 /VMT).Low-GHG electricity model<strong>in</strong>g utilized a high-resolutionvariable renewable resource capacity plann<strong>in</strong>g model(SWITCH) of the <strong>in</strong>terconnected Western North Americangrid. SWITCH used spatially resolved, time-synchronizedhourly solar, w<strong>in</strong>d, <strong>and</strong> dem<strong>and</strong> data to explore future low<strong>carbon</strong> electricity scenarios. Optimizations m<strong>in</strong>imized thecost of power between present day <strong>and</strong> 2050 while subjectto reliability <strong>and</strong> policy constra<strong>in</strong>ts. Carbon emissions wereconstra<strong>in</strong>ed to reach 80% below 1990 levels <strong>in</strong> the year 2050.Biofuel supply estimates were made with all biomassdirected to liquid biofuels <strong>and</strong> resultant biofuel assumed toreplace oil-based liquid fuel. Biomass <strong>and</strong> biofuel availabilityprojections utilized technical potential assumptions for <strong>in</strong>-State biomass supply, biomass supply mix, biofuel yield, <strong>and</strong>life-cycle <strong>carbon</strong> emission associated with biofuel production.Biofuel production was assumed to replace gasol<strong>in</strong>e <strong>in</strong>the transportation sector. Sources for biomass materialsavailability <strong>in</strong>clude earlier reports from Oak Ridge NationalLaboratory, the University of <strong>California</strong>, Berkeley, <strong>and</strong> theUniversity of <strong>California</strong>, Davis.All methods <strong>and</strong> key assumptions are described morefully <strong>in</strong> the supplementary material available onl<strong>in</strong>e at (stacks.iop.org/ERL/8/014038/mmedia) .AcknowledgmentsWe thank the <strong>California</strong> Energy Commission for support. Thispaper reflects the views of the authors <strong>and</strong> does not necessarilyreflect the view of the <strong>California</strong> Energy Commission or theState of <strong>California</strong>. DMK thanks the Class of 1935 of theUniversity of <strong>California</strong>, Berkeley, <strong>and</strong> the Karsten FamilyFoundation.None of the authors have a conflict of <strong>in</strong>terest for thiswork.ReferencesM Wei et al[1] Commission of European Communities 2007 Limit<strong>in</strong>g GlobalClimate Change to 2 Degrees Celsius: The Way Ahead for2020 <strong>and</strong> Beyond (available at http://eur-lex.europa.eu/LexUriServ/site/en/com/2007/com2007 0002en01.pdf,accessed 1 July 12)[2] <strong>California</strong> Institute for Energy <strong>and</strong> Environment 2012<strong>California</strong> Vulnerability <strong>and</strong> Adaption Study (available athttp://uc-ciee.org/climate-change/california-vulnerability<strong>and</strong>-adaptation-study,accessed 1 August 12)[3] Jackson S 2009 Parallel pursuit of near-term <strong>and</strong> long-termclimate mitigation Science 326 526–7[4] <strong>California</strong> Environmental Protection Agency Air ResourcesBoard 2012 <strong>California</strong> Greenhouse Gas Inventory for 1990(available at www.arb.ca.gov/cc/<strong>in</strong>ventory/pubs/reports/appendix a1 <strong>in</strong>ventory ipcc sum 1990.pdf, accessed10 June 12)[5] Williams J H, DeBenedictis A, Ghanadan R, Mahone A,Moore J, Morrow W R III, Price S <strong>and</strong> Torn M S 2012 Thetechnology path to deep greenhouse gas emissions cuts by2050: the pivotal role of electricity Science 335 53–9[6] <strong>California</strong> Council on Science <strong>and</strong> Technology 2011<strong>California</strong>’s Energy Future—The View to 2050 (available athttp://ccst.us/publications/2011/2011energy.pdf, accessed1 July 12)[7] Long J C S 2011 Piecemeal cuts won’t add up to radical<strong>reductions</strong> Nature 478 429[8] European Climate Foundation 2010 ROADMAP 2050: APractical Guide to a Prosperous, Low-GHG Europe(available at www.roadmap2050.eu, accessed 1 July 12)[9] Yang C, Ogden J M, Sperl<strong>in</strong>g D <strong>and</strong> Hwang R 2011<strong>California</strong>’s Energy Future: Transportation Energy Use <strong>in</strong><strong>California</strong> (Sacramento, CA: <strong>California</strong> Council on Science<strong>and</strong> Technology) (available at http://ccst.us/publications/2011/2011transportation.pdf, accessed 1 July 2012)[10] Jacobson M Z <strong>and</strong> Delucchi M A 2011 Provid<strong>in</strong>g all globalenergy with w<strong>in</strong>d, water, <strong>and</strong> solar power, part I:technologies, energy resources, quantities <strong>and</strong> areas of<strong>in</strong>frastructure, <strong>and</strong> materials Energy Policy 39 1154–69[11] Fripp M 2008 Optimal <strong>in</strong>vestment <strong>in</strong> w<strong>in</strong>d <strong>and</strong> solar power <strong>in</strong><strong>California</strong> PhD Dissertation University of <strong>California</strong>Energy <strong>and</strong> Resources Group[12] Nelson J, Johnston J, Mileva A, Matthias Fripp M, Hoffman I,Petros-Good A, Blanco C <strong>and</strong> Kammen D M 2012High-resolution model<strong>in</strong>g of the western North Americanpower system demonstrates low-cost <strong>and</strong> low-GHG futuresEnergy Policy 43 436–47[13] Fripp M 2012 SWITCH: a plann<strong>in</strong>g tool for power systemswith large shares of <strong>in</strong>termittent renewable energy Environ.Sci. 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