Energy Systems and Technologies for the Coming Century ...

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Table 6-2 Willingness to pay for 100 km extra operating rangeAllEnvironmentalistCar loverBuy ecological milk often Buy ecological milk oftenYes No Yes No100 km extra 10,500 8,600 11,200 15,200 14,100The highest willingness to pay for operating range is seen in the segment "Car lower"."Car lower" obviously think that operating range is more important compared to the"Environmentalist".6.3 Service includedDuring the survey there has been a concern whether respondents accepted theassumption that the new technology vehicles in the choice situations are just as reliableas traditional vehicles. To eliminate this potential bias, the survey included a serviceagreement in the choice situations.The following table shows the willingness to pay for service agreement for vehicles withdifferent technology.Table 6-3 Willingness to pay for service agreementTechnologyAllTraditional 4,600Hydrogen 11,700Hybrid 14,100Bio-diesel 17,000Plug-in electric 19,800As can be seen, the willingness to pay is highest for the plug-in electric vehicles andlowest for the traditional vehicles, indicating that people might not completely accept theassumption that the different technologies have the same reliability. It seems that peopleconsider the plug in electric technology more unreliable compared to a traditionalvehicle. It may be that may be the current problems with short operating range for plugin electric vehicles impact the perception of the reliability of plug in electric vehicles.And thus makes the service agreement for the plug-in electric vehicle more important forthe respondents.6.4 WTP difference in age groupsWillingness to pay for new and more environmentally friendly technologies is lower inyounger age groups.6-4 Willingness to pay by age groupsAge18 - 29 30 - 49 50 +Hydrogen -38,000 -47,300 -56,400Hybrid -13,000 -24,600 -32,000Bio-diesel -10,400 -11,200 -17,100Plug-in elec -18,100 -28,900 -38,900This is partly due to higher the fact that younger people are more sensitive to prices(higher elasticity). But even if we disregard this difference, the results from theestimations shows that young people are less likely to choose new environmentallyPage 11 of 12Risø International Energy Conference 2011 Proceedings Page 332
friendly vehicles compared to older people. They seem to gove things like accelerationhigher weight when they choose which vehicle to purchase.7 LiteratureHole (2008) Estimating mixed logit models using maximum simulated likelihood. TheStata Journal.Haan and Uhlendorff (2006), Estimation of Multinomial Logit Models with UnobservedHeterogeneity Using Maximum Simulated Likelihood, Discussion Papers 573, DIWBerlin, German institute for Economic Reserarch.Ben-Akiva, M., J. Walker, A. Bernardino, D. Gopinath, T. Morikawa, and A.Polydoropoulou (2002): Integration of Choice and Latent Variable Models, in (H.Mahmassani, Ed.) In perpetual Motion: Travel Behaviour Challenges and OpportunitiesDenis Bolduc, Moshe Beb-Akiva, Joan Walker and Alain Michaud (2005): HybridChoice Models with Logit Kernel: Applicability to Large Scale ModelsTrain, Kenneth (2003): Discrete choice methods with simulation, Cambridge Universitypress, 2003.Dirk Temme, Marcel Paulssen, Till Dannewald (2008): Incorporating Latent Variablesinto Discrete Choice Models – A Simultaneous Estimation Approach Using SEMSoftware, Business Research, vol 1, issue 2, 2008.GLAMM manual:http://www.bepress.com/context/ucbbiostat/article/1160/type/pdf/viewcontent/Skrondal, Anders and Sophia Rabe-Hesketh, (2004), Generalized Latent VariableModelling, Chapman & Hall/CRC, 2004..Rabe-Hesketh, S., Skrondal, A. and Pickles, A. (2004a). Generalized multilevelstructural equation modelling. Psychometrika 69 (2), 167-190.Page 12 of 12Risø International Energy Conference 2011 Proceedings Page 333
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Energy Systems and Technologies for
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ContentsSessions overview 1Programm
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sessions overview08:00-09:00Coffee
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11:00 - 12:30 session 6A - Bioenerg
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ContactSustainable Energy, Technica
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Penetration of new energy technolog
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how decisions are made and by whom
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(9) is the logaritimic expansion of
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(16)we may finally write Eq(14) in
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Table 1: Fast track cases for new r
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Peterka V. Macrodynamics of technol
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Growth in clean and reliable energy
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Conclusion - an ambitious vision an
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"Spurring investments in renewable
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Integrating climate change adaptati
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transport, and finance. Energy prov
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northern South America, the Caribbe
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Table 1: Energy system adaptation s
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More generally, a number of no- or
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6 ReferencesADB, 2005. Climate proo
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Sailor, D.J., Smith, M., Hart, M.,
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Factors affecting stakeholder perce
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Another study conducted in Japan wa
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4 The effect of information on stak
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Furthermore, communication to stake
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Shackley S, McLachlan C, Gough C (2
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Figure 1: Potential CO 2 storage si
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The Upper Jurassic - Lower Cretaceo
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The majority of the individual stru
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Development. Project no. ENK6-CT-19
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Section 5 summarises the key issue
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Table 1. Efficiencies for new large
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In addition, district heating syste
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6.4 Model results from EFDA-TIMESIn
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Maisonnier, D., et al. (2007), Powe
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1Efficiency and effectiveness of pr
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3Stromerzeugung [TWh/a]250200150100
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54 Country-specific Lessons learned
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7100%90%80%quota fullfilment (%)70%
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[5] Haas R., et al: Efficiency and
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The development and diffusion of re
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a. Offshore wind in DenmarkDenmark
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applicants are invited to submit a
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nies that provide upstream and down
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for both technology users and produ
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Trade Disputes over Renewable Energ
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treatment to imported renewable ene
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In Canada, the federal government i
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grid access, subsidies and land off
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In 2010, China’s total wind insta
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Source: Renewables 2010 Global Stat
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Source: REN 21, Renewables 2010 Glo
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Source: adapted from REN21, 2010It
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their precise scope and nature diff
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60 daysBy 2 nd DSBmeetingConsultati
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discriminatory manner on domestic a
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the European Union, the North Ameri
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ended. China lost this case because
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As most countries in the world are
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Session 3A - Energy SystemsRisø In
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1 IntroductionWith the introduction
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occur. This is an undesirably burea
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This curve could be used as a new t
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ut for the total consumption, and i
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This gives the LBR an opportunity t
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concludes that the subsurface conta
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to constrain the evaluation. In add
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Fig. 2 SW-NE trending seismic profi
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Fig. 5. Petrophysical evaluation of
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ConclusionsThe Danish subsurface co
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Performance of Space Heating in aMo
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[5],[10],[11],[16],[18],[20],[26].
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2/3 Sun1 Coal1/3 ElPower plantHP1 H
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25002000Surplus(min(wind,prod-cons)
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160CO 2 emission per unit heat prod
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The calculations have been based on
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Session 3B - smart gridsRisø Inter
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2 Myopic Investments2.1 The Balmore
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Moreover, this model is formulated
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Reducing Electricity Demand Peaks b
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3 Event Driven Scheduling Algorithm
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5 Mapping Teletraffic Theory to Ene
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6.2 Results and Performance Metrics
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Energy Efficient Refrigeration and
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Virtual Power PlantAggregatorSuperm
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C p,rC p,fT rT fW cφ sT a(UA) raHe
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Total PowerP.G. #1P.G. #2C.R. #1201
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the availability payment.Simulation
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The constraint in Eq. (16) has the
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The FlexControl concept - a vision,
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can react on requests for power reg
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3 ControlThe concept is based solel
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one hour to the next - correspondin
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4 ProtectionThe protection of the p
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Session 4 - Efficiency Improvements
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the product portfolio point of view
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Figure 4: Principle flow sheet of t
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process information needed are seld
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AIRFINE®(Reference)MEROS®Ca(OH)2M
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4 Conclusion & DiscussionThe Eco-Ca
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1 Energy policy and EU directivesTh
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iomass CHP, heat pumps, electric bo
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Fig. 1: How to supply a growing hea
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Session 5A - Wind Energy IRisø Int
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The average cumulative growth rate
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turbines is expected to create a st
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O&MGridWindturbineSubstructureFigur
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Another idea is to harvest energy f
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9. Shimon Awerbuch, Determining the
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engaged in wind energy assessment,
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treated in such a way to make them
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Figure 5: Map showing the estimated
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Figure 9: The annual mean power den
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mix is required. For example diurna
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Session 5B - Wind Energy IIRisø In
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TABLE ISOME OF THE WIND TURBINE MAN
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China, has prompted all parties, in
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to the high shaft speed. Furthermor
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Superconductors must be kept cold b
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an annual increase in demand of 6%,
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Improved High Temperature Supercond
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our study to a single set of deposi
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3.2 Yttrium-enriched YBCO thin film
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Fig. 5. AC-susceptibility dependenc
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The j C (B) dependence at 50 K for
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Session 6A - Bioenergy IRisø Inter
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The European politicians are faced
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The fast growing demand for biomass
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Figure 2: Avedøre Power Plant in C
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Figure 5: Concept for a sustainable
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The role of biomass and CCS in Chin
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2.2.1 CCS Potential for ChinaCCS is
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80%70%60%China's share ofglobal CO
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In general, if the CCS technology d
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with high implementation of CCS Chi
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The European Biofuels Policy: from
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aimed to promote agriculture-based
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(EC, 2009b), and internationally vi
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Session 6B - Bio Energy IIRisø Int
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The commercial scale production of
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the production process parameters,
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NutrientWaterAlgal cultureproductio
Page 286 and 287: Schenk, P.M., Thomas-Hall, S.R., St
Page 288 and 289: Liquid biofuels from blue biomassZs
Page 290 and 291: Even though final ethanol yields we
Page 292 and 293: Integrated Gasification SOFC Plant
Page 294 and 295: 2.1 Modelling of SOFCThe SOFC model
Page 296 and 297: where g 0 , R an T are the specific
Page 298 and 299: hand side y-axis corresponds to eff
Page 300 and 301: The moister content for these three
Page 302 and 303: Use of Methanation for Optimization
Page 304 and 305: power production from utilizing the
Page 306 and 307: 2.1 Model DescriptionThe developed
Page 308 and 309: Figure 3: Flow sheet of methanation
Page 310 and 311: efficiency and turbine inlet temper
Page 312 and 313: [14] DNA - A Thermal Energy System
Page 314 and 315: On the effectiveness of standards v
Page 316 and 317: educing new car emissions to 120 g
Page 318 and 319: In addition energy consumption E an
Page 320 and 321: coefficient γ for the impact of fu
Page 322 and 323: 400200Change in energy (PJ)01980 19
Page 324 and 325: Figure 9 depict scenarios for the f
Page 326 and 327: What are customers willing to pay f
Page 328 and 329: Randomly, continuous up to ±50%Acc
Page 330 and 331: The likelihood for the model is giv
Page 332 and 333: eally means that this factor and no
Page 334 and 335: Table 5-1 Parameter estimates from
Page 338 and 339: Session 12 - Energy for Developing
Page 340 and 341: Risø International Energy Conferen
Page 350 and 351: existing renewable energy technolog
Page 352 and 353: useful energyend energysecondary en
Page 354 and 355: parts or the means of enforcing war
Page 356 and 357: The development of micro-hydro proj
Page 358 and 359: Table 1. Electric power generation
Page 360 and 361: 5 ReferencesBajgain, S., Shakya, I.
Page 362 and 363: IntroductionElectricity has become
Page 364 and 365: of 2008, 43.6% of the total populat
Page 366 and 367: Hilmand provinces have comparativel
Page 368 and 369: ….. eq. 5LCOE is the net present
Page 370 and 371: case of Nepal, it is 5% (Trading ec
Page 372 and 373: ing down the cost of solar PV modul
Page 374 and 375: 3.3 Serving the rural areas with na
Page 376 and 377: The levelized costs of electricity
Page 378 and 379: Figure 4. Variation in LCOE with si
Page 380 and 381: The analysis reveals that fuel cost
Page 382 and 383: In case of DG, we have looked with
Page 384 and 385: Gross, R., Blyth, W., Heptonstall,
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Mode of Transport to Work, Car Owne
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power parity (PPP) basis, GDP per c
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83,385 to 109,108 while the number
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other purposes so that reduced fare
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emissions studies is that they were
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where I (·) is the indicator funct
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increases, individuals acquire more
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while that of other means of transp
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into CO 2 . For all oil and oil pro
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impact. In general, income is found
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7 ReferenceAlperovich, G., Deutsch,
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Table 1: Definitions of Variables a
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Session 13 - Energy StorageRisø In
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2 Storage demand and resulting stor
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compressed air storages, demand sit
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Fig. 3: Options for underground sto
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3.5 Geological potential in EuropeF
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Sensitivity on Battery Prices and C
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3.1 Base caseA northern European en
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4 ResultsThe model is run on a comp
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Furthermore, a slight decrease in t
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Night time charging increases with
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Lithuanian Energy Institute, PSE In
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atteries, Compressed Air Energy Sto
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negative net load, can be expected
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25%Pct. of the year20%15%10%5%0.5-0
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800006000040000MWh200000Netload-200
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[4] B. V. Mathiesen and H. Lund, "C
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Compressed Air Energy Storage in Of
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compressed air caverns, corrosion-r
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Figure 3: Distribution of salt depo
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Figure 6: EWEA's 20 year Offshore N
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spinning reserves can be provided b
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7 Discussion and conclusionsThis pa
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Risø DTU is the National Laborator
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