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Chapter 10 - Mitigation Potential and Costs

Published online by Cambridge University Press:  05 December 2011

By
Manfred Fischedick ,
Roberto Schaeffer ,
Akintayo Adedoyin ,
Makoto Akai ,
Thomas Bruckner ,
Leon Clarke ,
Volker Krey ,
Ilkka Savolainen ,
Sven Teske  and
Diana Ürge-Vorsatz
...Show all authors
Edited by
Ottmar Edenhofer ,
Ramón Pichs-Madruga ,
Youba Sokona ,
Kristin Seyboth ,
Susanne Kadner ,
Timm Zwickel ,
Patrick Eickemeier ,
Gerrit Hansen ,
Steffen Schlömer  and
Christoph von Stechow
...Show all authors
Ottmar Edenhofer
Affiliation:
Potsdam Institute for Climate Impact Research
Ramón Pichs-Madruga
Affiliation:
Centro de Investigaciones de la Economía Mundial (CIEM)
Youba Sokona
Affiliation:
The Sahara and Sahel Observatory
Kristin Seyboth
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Susanne Kadner
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Timm Zwickel
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Patrick Eickemeier
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Gerrit Hansen
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Steffen Schlömer
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Christoph von Stechow
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
Patrick Matschoss
Affiliation:
Technical Support Unit of Working Group III of the Intergovernmental Panels on Climate Change
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Summary

Executive Summary

Renewable energy (RE) has the potential to play an important and increasing role in achieving ambitious climate mitigation targets. Many RE technologies are increasingly becoming market competitive, although some innovative RE technologies are not yet mature, economic alternatives to non-RE technologies. However, assessing the future role of RE requires not only consideration of the cost and performance of RE technologies, but also an integrative perspective that takes into account the interactions between various forces and the overall systems behaviours.

An increasing number of integrated scenario analyses are available in the published literature. They are able to provide relevant insights into the potential contribution of RE to future energy supplies and climate change mitigation. A review of 164 scenarios from 16 different large-scale integrated models was conducted through an open call. Although a collection of scenarios from the literature does not represent a truly random sample suitable for rigorous statistical analysis, a scenario overview can provide some critical and strategic insights about the role of RE in climate mitigation, in spite of the uncertainties involved.

Although it is not possible to precisely link long-term climate goals and global RE deployment levels, RE deployment significantly increases in the scenarios with ambitious greenhouse gas (GHG) concentration stabilization levels. Ambitious GHG concentration stabilization levels lead on average to higher RE deployment compared to the baseline. However, for any given long-term GHG concentration goal, the scenarios exhibit a wide range of RE deployment levels.

Type
Chapter
Information
Renewable Energy Sources and Climate Change Mitigation
Special Report of the Intergovernmental Panel on Climate Change
 , pp. 791 - 864
Publisher: Cambridge University Press
Print publication year: 2011

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References

Aitken, D. (2003). Transitioning to a Renewable Energy Future. White Paper, International Solar Energy Society, Freiburg, Germany, 55 pp. Available at: www.ises.org/shortcut.nsf/to/wp.Google Scholar
Akimoto, K., Sano, F., Oda, J., Homma, T., Rout, U.K., and Tomoda, T. (2008). Global emission reductions through a sectoral intensity target scheme. Climate Policy, 8(Supplement), pp. S46-S59.CrossRefGoogle Scholar
Amann, M. (2008). GAINS ASIA Scenarios for Cost-Effective Control of Air Pollution and Greenhouse Gases in China. International Institute for Applied Systems Analysis, Laxenburg, AustriaGoogle Scholar
Anthoff, D. (2007). Marginal external damage costs inventory of greenhouse gas emissions. Delivery No. 5.4 - RS 1b, New Energy Externalities Developments for Sustainability, Rome, Italy.Google Scholar
Awerbuch, S. (2006). Portfolio-based electricity generation planning: Policy implications for renewables and energy security. Mitigation and Adaptation Strategies for Global Change, 11(3), pp. 693–710.CrossRefGoogle Scholar
Azar, C., Lindgren, K., Larson, E., and Möllersten, K. (2006). Carbon capture and storage from fossil fuels and biomass – Costs and potential role in stabilizing the atmosphere. Climatic Change, 74(1), pp. 47–79.CrossRefGoogle Scholar
Bailis, R., Ezzati, M., and Kammen, D.M. (2005). Mortality and greenhouse gas impacts of biomass and petroleum energy futures in Africa. Science, 308(5718), pp. 98–103.CrossRefGoogle ScholarPubMed
Baker, E., Clarke, L., and Shittu, E. (2008). Technical change and the marginal cost of abatement. Energy Economics, 30(6), pp. 2799–2816.CrossRefGoogle Scholar
Barker, T., Bashmakov, I., Alharthi, A., Amann, M., Cifuentes, L., Drexhage, J., Duan, M., Edenhofer, O., Flannery, B., Grubb, M., Hoogwijk, M., Ibitoye, F.I., Jepma, C.J., Pizer, W.A., and Yamaji, K. (2007). Mitigation from a cross-sectoral perspective. In: Climate Change 2007: Mitigation of Climate Change. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Metz, B., Davidson, O.R., Bosch, P.R., Dave, R., and Meyer, L.A. (eds.), Cambridge University Press, pp. 619–690.Google Scholar
Barker, T., Pun, H., Köhler, J., Warren, R., and Winne, S. (2006). Decarbonizing the global economy with induced technological change: Scenarios to 2100 using E3MG. Energy Journal, 27(Special Issue 1), pp. 241–258.Google Scholar
Bergmann, A., Hanley, M., and Wright, R. (2006). Valuing the attributes of renewable energy investments. Energy Policy, 34(9), pp. 1004–1014.CrossRefGoogle Scholar
Berry, T., and Jaccard, M. (2001). The renewable portfolio standard: design considerations and an implementation survey. Energy Policy, 29(4), pp. 263–277.CrossRefGoogle Scholar
Black & Veatch Corporation (2007). Arizona Renewable Energy Assessment. Final Report. Black & Veatch Corporation, Lamar, Kansas.
Bolinger, M., Wiser, R., and Golove, W. (2006). Accounting for fuel price risk when comparing renewable to gas-fired generation: the role of forward natural gas prices. Energy Policy, 34(6), pp. 706–720.CrossRefGoogle Scholar
Bollen, J., Zwaan, B., Brink, C., and Erens, H. (2009). Local air pollution and global climate change: A combined cost-benefit analysis. Resource and Energy Economics, 31, pp. 161–181.CrossRefGoogle Scholar
Bosetti, V., Carraro, C., and Tavoni, M. (2009). Climate change mitigation strategies in fast-growing countries: The benefits of early action. Energy Economics, 31(Supplement 2), pp. S144-S151.CrossRefGoogle Scholar
Burgherr, P., and Hirschberg, S. (2008). A comparative analysis of accident risks in fossil, hydro and nuclear energy chains. Human and Ecological Risk Assessment, 14, pp. 947–973.CrossRefGoogle Scholar
Calvin, K., Edmonds, J., Bond-Lamberty, B., Clarke, L., Kim, S.H., Kyle, P., Smith, S.J., Thomson, A., and Wise, M. (2009). 2.6: Limiting climate change to 450 ppm CO2 equivalent in the 21st century. Energy Economics, 31(Supplement 2), pp. S107-S120.CrossRefGoogle Scholar
Carlsmith, R.S., Chandler, W.U., McMahon, J.E., and Santini, D.J. (1990). Energy Efficiency: How Far can We Go? ORNL/TM-11441, Oak Ridge National Laboratory, Oak Ridge, TN, USA, 83 pp.Google Scholar
Carpenter, S.R., Pingali, P.L., Bennet, E.M., and Zurek, M.B. (eds.) (2005). Ecosystems and Human Wellbeing: Scenarios. Island Press, Chicago, IL, USA, 561 pp.
CBI (2007). Climate Change: Everyone's Business. Confederation of British Industry Climate Change Task Force, London, UK.
Changliang, X., and Zhanfeng, S. (2009). Wind energy in China: Current scenario and future perspectives. Renewable and Sustainable Energy Reviews, 13(8), pp. 1966–1974.CrossRefGoogle Scholar
Chen, W. (2005). The Costs of Mitigating Carbon Emissions in China: Findings from China MARKALMACRO modeling. Energy Policy, 33, pp. 885–896.CrossRefGoogle Scholar
Chen, C., Wiser, R., and Bolinger, M. (2007). Weighing the Costs and Benefits of State Renewables Portfolio Standards: A Comparative Analysis of State-Level Policy Impact Projections. LBNL-61580, Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA, USA, 71 pp.Google Scholar
Clarke, L., Edmonds, J., Jacoby, H., Pitcher, H., Reilly, J., and Richels, R. (2007). Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations. Subreport 2.1A of Synthesis and Assessment Product 2.1. U.S. Department of Energy, Office of Biological and Environmental Research, Washington, DC, USA, 154 pp.Google Scholar
Clarke, L., Weyant, J.P., and Edmonds, J. (2008). On the sources of technological change: what do the models assume. Energy Economics, 30(2), pp. 409–424.CrossRefGoogle Scholar
Clarke, L., Edmonds, J., Krey, V., Richels, R., Rose, S., and Tavoni, M. (2009). International climate policy architectures: Overview of the EMF 22 International Scenarios. Energy Economics, 31(Supplement 2), pp. 64–81.CrossRefGoogle Scholar
Committee on Climate Change (2008). Building a Low-Carbon Economy – The UK's Contribution to Tackling Climate Change. The Stationary Office, Norwich, UK. Available at: www.theccc.org.uk/reports/building-a-low-carbon-economy.
Committee on Health (2010). Hidden Costs of Energy: Unpriced Consequences of Energy Production and Use. Committee on Health, Environmental, and Other External Costs and Benefits of Energy Production and Consumption, National Research Council, National Academies Press, Atlanta, GA, USA, 506 pp.
Creyts, J., Derkach, A., Nyquist, S., Ostrowski, K., and Stephenson, J. (2007). Reducing U.S. Greenhouse Gas Emissions: How Much at What Cost?McKinsey & Company, USA, 83 pp.Google Scholar
Curtright, A.E., Morgan, M.G., and Keith, D.W. (2008). Expert assessments of future photovoltaic technologies. Environmental Science & Technology, 42(24), pp. 9031–9038.CrossRefGoogle ScholarPubMed
da Costa, M.M., Cohen, C., and Schaeffer, R. (2007). Social features of energy production and use in Brazil: Goals for a sustainable energy future. Natural Resources Forum, 31(1), pp. 11–20.CrossRefGoogle Scholar
Dasgupta, P., Mäler, K.-G., and Barrett, S. (2000). Intergenerational Equity, Social Discount Rates and Global Warming. University of Cambridge, Cambridge, UK.Google Scholar
Vries, B.J.M., Vuuren, D.P., and Hoogwijk, M.M. (2007). Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach. Energy Policy, 35, pp. 2590–2610.CrossRefGoogle Scholar
Elzen, M., Höhne, N., and Vliet, J. (2009). Analysing comparable greenhouse gas mitigation efforts for Annex I countries. Energy Policy, 37, pp. 4114–4131.CrossRefGoogle Scholar
Dietz, S., and Stern, N. (2008). Why economic analysis supports strong action on climate change: A response to the Stern review's critics. Review of Environmental Economics and Policy, 2(1), pp. 94–113.CrossRefGoogle Scholar
Dornburg, V., Dam, J., and Faaij, A. (2007). Estimating GHG emission mitigation supply curves of large-scale biomass use on a country level. Biomass and Bioenergy, 31(1), pp. 46–65.CrossRefGoogle Scholar
Downing, T., Anthoff, D., Butterfield, R., Ceronsky, M., Grubb, M., Guo, J., Hepburn, C., Hope, C., Hunt, A., Li, A., Markandya, A., Moss, S., Nyong, A., Tol, R., and Watkiss, P. (2005). Social Cost of Carbon: A Closer Look at Uncertainty. Stockholm Environment Institute, Oxford, UK.Google Scholar
Durstewitz, M., and Hoppe-Klipper, M. (1999). Wind energy experience curve for the German “250 MW Wind Program”. In: IEA International Workshop on Experience Curves for Policy Making - The Case of Energy Technologies. Stuttgart, Germany, 10-11 May 1999. Available at: www.iset.uni-kassel.de/abt/FB-I/publication/99-05-10_exp_curves_iea.pdf.Google Scholar
ECN (2004). Learning from the Sun: Final Report of the Photes Project. Energy Research Center of the Netherlands (ECN), Petten, The Netherlands.
Edenhofer, O., Carraro, C., Köhler, J., and Grubb, M. (guest eds.) (2006). Endogenous technological change and the economics of atmospheric stabilization. Energy Journal, 27(Special Issue 1), 284 pp.
Edenhofer, O., Carraro, C., Hourcade, J.-C., Neuhoff, K., Luderer, G., Flachsland, C., Jakob, M., Popp, A., Steckel, J., Strohschein, J., Bauer, N., Brunner, S., Leimbach, M., Lotze-Campen, H., Bosetti, V., Cian, E.d., Tavoni, M., Sassi, O., Waisman, H., Crassous-Doerfler, R., Monjon, S., Dröge, S., Essen, H.v., Rio, P.d. and Türk, A.The Economics of Decarbonization – Report of the RECIPE Project. Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Edenhofer, O., Knopf, B., Barker, T., Baumstark, L., Bellevrat, E., Chateau, B., Criqui, P., Isaac, M., Kitous, A., Kypreos, S., Leimbach, M., Lessmann, K., Magne, B., Scrieciu, Å., Turton, H., and Vuuren, D.P. (2010). The economics of low stabilization: Model comparison of mitigation strategies and costs. Energy Journal, 31(Special Issue), pp. 11–48.CrossRefGoogle Scholar
Edwards, R., Szekeres, S., Neuwahl, F., and Mahieu, V. (2008). Biofuels in the European Context: Facts, Uncertainties and Recommendations. JRC Institute for Energy, Petten, The Netherlands, 30 pp.Google Scholar
EEA (2007). Greenhouse gas emission trends and projections in Europe 2007 – Country profile: Poland. European Energy Agency, Brussels, Belgium.
EEA (2009). Europe's onshore and offshore wind energy potential: An assessment of environmental and economic constraints. European Environment Agency, Copenhagen, Denmark.
EIA (2009). Annual Energy Outlook 2009 with Projections to 2030. Energy Information Administration, Washington, DC, USA.
Enermodal (1999). Cost Reduction Study for Solar Thermal Power Plants: Final Report. Enermodal Engeneering Limited, Kitchener, ON, Canada.
Enviros Consulting Ltd. (2005). The Costs of Supplying Renewable Energy. Enviros Consulting Ltd., London, UK.
EPIA (2008). Solar Generation. European Photovoltaic Industry Association (EPIA), Brussels, Belgium.
EPIA (2010). Global Market Outlook for Photovoltaics until 2014. European Photovoltaic Industry Association (EPIA), Brussels, Belgium, 8 pp.
ERI (2009). 2050 China Energy and CO2 Emissions Report (CEACER). Energy Research Institute, Beijing: Science Press. In Chinese. As cited in: China's Energy and Carbon Emissions Outlook to 2050, N. Zhou and D. Fridley (2011). Lawrence Berkeley National Laboratory.
EWEA (2009). Wind Energy, the Facts. European Wind Energy Association (EWEA), Brussels, Belgium.
Fearnside, P.M. (1999). Social impacts of Brazil's Tucurui Dam. Environmental Management, 24(4), pp. 483–495.CrossRefGoogle ScholarPubMed
Fearnside, P.M. (2005). Brazil's Samuel Dam: Lessons for hydroelectric development policy and the environment in Amazonia. Environmental Management, 35(1), pp. 1–19.CrossRefGoogle ScholarPubMed
Fellows, A. (2000). The Potential of Wind Energy to Reduce Carbon Dioxide Emissions. Garrad Hassan, Glasgow, Scotland.Google Scholar
Ferioli, F., Schoots, K., and Zwaan, B.C.C. (2009). Use and limitations of learning curves for energy technology policy: A component-learning hypothesis. Energy Policy, 37, pp. 2525–2535.CrossRefGoogle Scholar
Fisher, B.S., Nakicenovic, N., Alfsen, K., Morlot, J. Corfee, Chesnaye, F., Hourcade, J.-C., Jiang, K., Kainuma, M., Rovere, E. La, Matysek, A., Rana, A., Riahi, K., Richels, R., Rose, S., Vuuren, D., and Warren, R. (2007). Issues related to mitigation in the long term context. In: Climate Change 2007: Mitigation of Climate Change. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Metz, B., Davidson, O.R., Bosch, P.R., Dave, R., and Meyer, L.A. (eds.), Cambridge University Press, pp. 169-250.Google Scholar
Fleiter, T., Hagemann, M., Hirzel, S., Eichhammer, W., and Wietschel, M. (2009). Costs and potentials of energy savings in European industry – a critical assessment of the concept of conservation supply curves. In: Proceedings of ECEEE 2009 Summer Study, European Council for an Energy Efficient Economy (ed.), La Colle sur Loup, France, 1-6 June 2009, Panel 5, pp. 1261–1272. Available at: www.eceee.org/conference_proceedings/eceee/2009/Panel_5/5.376/.Google Scholar
Foxon, T.J., Gross, R., Chase, A., Howes, J., Arnall, A., and Anderson, D. (2005). UK innovation systems for new and renewable energy technologies: drivers, barriers and system failures. Energy Policy, 33, pp. 2123–2137.CrossRefGoogle Scholar
Gallagher, P.W., Dikeman, M., Fritz, J., Wailes, E., Gauthier, W., and Shapouri, H. (2003). Supply and social cost estimates for biomass from crop residues in the United States. Environmental & Resource Economics, 24(4), pp. 335–358.CrossRefGoogle Scholar
Gartner, S. (2008). Final Report on Technical Data, Costs and Life Cycle Inventories of Biomass CHP Plants. Deliverable No. 13.2 – RS 1a, New Energy Externalities Developments for Sustainability, Rome, Italy.Google Scholar
Goldemberg, J., Coelhob, S., Nastaric, P.M., and Lucon, O. (2004). Ethanol learning curve: The Brazilian experience. Biomass & Bioenergy, 26(2004), pp. 301–304.CrossRefGoogle Scholar
González, P.d.R. (2008). Policy implications of potential conflicts between short-term and long-term efficiency in CO2 emissions abatement. Ecological Economics, 65, pp. 292–303.CrossRefGoogle Scholar
Gordon, F., Garth, L., Eckman, T., and Grist, C. (2008). Beyond Energy Supply Curves. University of California, Davis, CA, USA.Google Scholar
Jaffe, A.B., Newell, R.G., and Stavins, R.N. (2005). A tale of two market failures: Technology and environmental policy. Ecological Economics, 54(2-3), pp. 164–174.CrossRefGoogle Scholar
Jamasb, T. (2007). Technical change theory and learning curves: Patterns of progress in electricity generation technologies. Energy Journal, 28(3), pp. 133–150.CrossRefGoogle Scholar
Junginger, M., Agterbosch, S., Faaij, A. and Turkenburg, W.C. (2004). Renewable electricity in the Netherlands. Energy Policy, 32, pp. 1053–1073.CrossRefGoogle Scholar
Junginger, M., Faaij, A., Björheden, R., and Turkenburg, W.C. (2005a). Technological learning and cost reductions in wood fuel supply chains in Sweden. Biomass and Bioenergy, 29, pp. 399–418.CrossRefGoogle Scholar
Junginger, M., Faaij, A., and Turkenburg, W.C. (2005b). Global experience curves for wind farms. Energy Policy, 33, pp. 133–150.CrossRefGoogle Scholar
Junginger, M., Visser, E., Hjort-Gregersen, K., Koornneef, J., Raven, R., Faaij, A., and Turkenburg, W. (2006). Technological learning in bioenergy systems. Energy Policy, 34, pp. 4024–4041.CrossRefGoogle Scholar
Junginger, M., Sark, W.V., and Faaij, A. (eds.) (2010). Technological Learning in the Energy Sector: Lessons for Policy, Industry and Science. Edward Elgar, Northampton, MA, USA.CrossRefGoogle Scholar
Kahouli-Brahmi, (2009). Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach. Ecological Economics, 68, pp. 1195–1212.CrossRefGoogle Scholar
Kennedy, S. (2005). Wind power planning: assessing long-term costs and benefits. Energy Policy, 33(13), pp. 1661–1675.CrossRefGoogle Scholar
Kirkinen, J., Palosuo, T., Holmgren, K., and Savolainen, I. (2008). Greenhouse impact due to the use of combustible fuels: Life cycle viewpoint and relative radiative forcing commitment. Environmental Management, 42(3), pp. 458–469.CrossRefGoogle ScholarPubMed
Kitous, A., Criqui, P., Bellevrat, E., and Chateau, B. (2010). Transformation patterns of the worldwide energy system – Scenarios for the century with the POLES model. Energy Journal, 31(Special Issue), pp. 49–82.CrossRefGoogle Scholar
Knopf, B., Edenhofer, O., Barker, T., Bauer, N., Baumstark, L., Chateau, B., Criqui, P., Held, A., Isaac, M., Jakob, M., Jochem, E., Kitous, A., Kypreos, S., Leimbach, M., Magne, B., Mima, S., Schade, W., Scrieciu, S., Turton, H., and Vuuren, D.v. (2009). The economics of low stabilisation: implications for technological change and policy. In: Making Climate Change Work for Us: European Perspectives on Adaptation and Mitigation Strategies. Hulme, M. and Neufeldt, H (eds.), Cambridge University Press.Google Scholar
Koljonen, T., Ronde, H., Lehtilä, A., Ekholm, T., Savolainen, I., and Syri, S. (2008). Greenhouse gas emission mitigation and energy security, a scenario results and practical programmes in some Asian countries. In: 2nd IAEE Asian Conference, International Association for Energy Economics, Perth, Australia, 5–7 November 2008.Google Scholar
Koljonen, T., Flyktman, M., Lehtilä, A., Pahkala, K., Peltola, E., and Savolainen, I. (2009). The role of CCS and renewables in tackling climate change. Energy Procedia, 1(1), pp. 4323–4330.CrossRefGoogle Scholar
Koomey, J.G., R.C., Richey, J.A., Laitner, R.J., Markel, and C., Marnay (1998). Technology and Greenhouse Gas Emissions: An Integrated Analysis using the LBNL–NEMS Model. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.Google Scholar
Kouvaritakis, N., Soria, A., and Isoard, S. (2000). Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching. International Journal of Global Issues, 14, pp. 1–4.Google Scholar
Krewitt, W. (2002). External costs of energy – do the answers match the questions? Looking back at 10 years of ExternE. Energy Policy, 30(10), pp. 839–848.CrossRefGoogle Scholar
Krewitt, W. (2007). Die externen Kosten der Stromerzeugung aus erneuerbaren Energien im Vergleich zur fossilen Stromerzeugung. Umweltwissenschaften und Schadstoff-Forschung, 19(3), pp. 144–151.CrossRefGoogle Scholar
Krewitt, W., and Schlomann, B. (2006). Externe Kosten der Stromerzeugung aus erneuerbaren Energien im Vergleich zur Stromerzeugung aus fossilen Energieträgern. DLR, Institut für Technische Thermodynamik, Fraunhofer Institut für System-und Innovationsforschung, Gutachten im Auftrag des ZSW im Rahmen von Beratungsleistungen für das BMU, 59 pp.
Krewitt, W., Teske, S., Simon, S., Pregger, T., Graus, W., Blomen, E., Schmid, S., and Schäfer, O. (2009). Energy [R]evolution 2008 – a sustainable world energy perspective. Energy Policy, 37(12), pp. 5764–5775.CrossRefGoogle Scholar
Krey, V., and Riahi, K. (2009). Implications of delayed participation and technology failure for the feasibility, costs, and likelihood of staying below temperature targets – Greenhouse gas mitigation scenarios for the 21st century. Energy Economics, 31(Supplement 2), pp. S94-S106.CrossRefGoogle Scholar
Krey, V., and Clarke, L. (2011). Role of renewable energy in climate mitigation: a synthesis of recent scenarios. Climate Policy, in press.CrossRef
Kruck, C., and Eltrop, L. (2007). Perspektiven der Stromerzeugung aus Solar- und Windenergienutzung: Endbericht. FKZ A204/04, IER (Institut für Energiewirtschaft und Rationelle Energieanwendung), Universität Stuttgart, Stuttgart, Germany.Google Scholar
Kuik, O., Brander, L., and Tol, R.S.J. (2009). Marginal abatement costs of greenhouse gas emissions: A meta-analysis. Energy Policy, 37, pp. 1395–1403.CrossRefGoogle Scholar
Kurosawa, A. (2006). Multigas mitigation: An economic analysis using GRAPE model. Energy Journal, 27(Special Issue November), pp. 275–288.Google Scholar
Kusiima, J.M., and Powers, S.E. (2010). Monetary value of the environmental and health externalities associated with production of ethanol from biomass feedstocks. Energy Policy, 38(6), pp. 2785–2796.CrossRefGoogle Scholar
Kverndokk, S., and Rosendahl, K.E. (2007). Climate policies and learning by doing: Impacts and timing of technology subsidies. Resource and Energy Economics, 29(6), pp. 2785–2796.CrossRefGoogle Scholar
Leimbach, M., Bauer, N., Baumstark, L., Lüken, M., and Edenhofer, O. (2010). Technological change and international trade – Insights from REMIND-R. Energy Journal, 31(Special Issue), pp. 109–136.CrossRefGoogle Scholar
Lewandowski, I., Weger, J., Hooijdonk, A., Havlickova, K., Dam, J., and Faaij, A. (2006). The potential biomass for energy production in the Czech Republic. Biomass and Bioenergy, 30, pp. 405–421.CrossRefGoogle Scholar
Loulou, R., Remme, U., Kanudia, A., Lehtila, A., and Goldstein, G. (2005). Documentation for the TIMES Model. IEA Energy Technology Systems Analysis Programme, Paris, France.Google Scholar
Loulou, R., Labriet, M., and Kanudia, A. (2009). Deterministic and stochastic analysis of alternative climate targets under differentiated cooperation regimes. Energy Economics, 31(Supplement 2), pp. S131–S143.CrossRefGoogle Scholar
Luderer, G., Bosetti, V., Steckel, J., Waisman, H., Bauer, N., Decian, E., Leimbach, M., Sassi, O., and Tavoni, M. (2009). The Economics of Decarbonization – Results from the RECIPE model Intercomparison. Potsdam Institute for Climate Impact Research, Potsdam, Germany (Peer-reviewed version accepted for publication: G., Luderer, Bosetti, V, Jakob, M, Leimbach, M, Steckel, J, Waisman, H, Edenhofer, O (2011). The Economics of Decarbonizing the Energy System – Results and Insights from the RECIPE Model Intercomparison. Climatic Change, doi: 10.1007/ s10584-011-0105-x).Google Scholar
Mackay, R., and Probert, S. (1998). Likely market-penetrations of renewable-energy technologies. Applied Energy, 59, pp. 1–38.CrossRefGoogle Scholar
Magne, B., Kypreos, S., and Turton, H. (2010). Technology options for low stabilization pathways with MERGE. Energy Journal, 31(Special Issue), pp. 83–108.CrossRefGoogle Scholar
Manne, A., and Richels, R. (2005). Merge: An Integrated Assessment Model for Global Climate Change. In: Energy and Environment. Loulou, R., Waaub, J.-P., and Zaccour, G. (eds.), Springer, pp. 175–189.Google Scholar
Masui, T., Ashina, S., and Fujino, J. (2010). Analysis of 4.5 W/m2 Stabilization Scenarios with Renewable Energies and Advanced Technologies using AIM/CGE[Global] model. AIM Team, National Institute for Environmental Studies, Tsukuba, Japan.Google Scholar
McElroy, M.B., Lu, X., Nielsen, C.P., and Wang, Y. (2009). Potential for wind-generated electricity in China. Science, 325, pp. 1380.CrossRefGoogle Scholar
,McKinsey&Company (2007). Costs and Potentials of Greenhouse Gas Abatement in Germany. McKinsey&Company.Google Scholar
,McKinsey&Company (2008a). An Australian Cost Curve for Greenhouse Gas Reduction. McKinsey&Company.Google Scholar
,McKinsey&Company (2008b). Costs and Potentials for Greenhouse Gas Abatement in the Czech Republic. McKinsey&Company.Google Scholar
,McKinsey&Company (2009a). China's Green Revolution. McKinsey&Company.Google Scholar
,McKinsey&Company (2009b). Pathway to a Low-Carbon Economy. McKinsey&Company.Google Scholar
,McKinsey&Company (2009c). Swiss Greenhouse Gas Abatement Cost Curve. McKinsey&Company.Google Scholar
Mehos, M.S., and Kearney, D.W. (2007). Potential carbon emissions reductions from concentrating solar power by 2030. In: Tackling Climate Change in the U.S.: Potential Carbon Emissions Reductions from Energy Efficiency and Renewable Energy by 2030. Kutscher, C.F. (ed.), American Solar Energy Society, Boulder, CO, USA, pp. 79–90. Available at: http://ases.org/images/stories/file/ASES/climate_change.pdf.Google Scholar
Meier, A., Wright, J., and Rosenfeld, A.H. (1983). Supplying Energy through Greater Efficiency: The Potential for Conservation in California's Residential Sector. University of California Press, Berkeley, CA, USA.Google Scholar
Milligan, M. (2007). Potential carbon emissions reductions from wind by 2030. In: Tackling Climate Change in the U.S.: Potential Carbon Emissions Reductions from Energy Efficiency and Renewable Energy by 2030. Kutscher, C.F. (ed.), American Solar Energy Society, Boulder, CO, USA, pp. 101–112. Available at: http://ases.org/images/stories/file/ASES/climate_change.pdf.Google Scholar
Montgomery, W.D., and Smith, A.E. (2007). Price, quantity, and technology strategies for climate change policy. In: Human-induced Climate Change: An Interdisciplinary Assessment. Schlesinger, M.E., Kheshgi, H.S., Smith, J., Chesnaye, F.C., Reilly, J.M., Wilson, T., and Kolstad, C. (eds.), Cambridge University Press, pp. 328–342.CrossRefGoogle Scholar
Morita, T., Robinson, J., Adegbulugbe, A., Alcamo, J., Herbert, D., Rovere, E. Lebre, Nakicenivic, N., Pitcher, H., Raskin, P., Riahi, K., Sankovski, A., Solkolov, V., Vries, B.D., and Zhou, D. (2001). Greenhouse gas emission mitigation scenarios and implications. In: Climate Change 2001: Mitigation of Climate Change; Contribution of Working Group III to the Third Assessment Report of the IPCC. Cambridge University Press, pp. 115–166.Google Scholar
Mukora, A., Winskel, M., Jeffrey, H.F., and Muller, M. (2009). Learning curves for emerging energy technologies. Proceedings of the Institution of Civil Engineers - Energy, 162, pp. 151–159.CrossRefGoogle Scholar
Nakicenovic, N., Kolp, P., Riahi, K., Kainuma, M., and Hanaoka, T. (2006). Assessment of emissions scenarios revisited. Environmental Economics and Policy Studies, 7(3), pp. 137–173.CrossRefGoogle Scholar
Neij, L. (1997). Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology. Energy Policy, 25, pp. 1099–1107.CrossRefGoogle Scholar
Neij, L. (1999). Cost dynamics of wind power. Energy Policy, 24, pp. 375–389.Google Scholar
Neij, L. (2003). Final Report of EXTOOL - Experience Curves: A Tool for Energy Policiy Programme Assessment. KFS AB, Lund, Sweden. Available at: www.iset.uni-kassel.de/extool/Extool_final_report.pdf.Google Scholar
Neij, L. (2008). Cost developments of future technologies for power generation – A study based on experience curves and complementary bottom-up assessments. Energy Policy 36, pp. 2200–2211.CrossRefGoogle Scholar
Nemet, G.F. (2009). Interim monitoring of cost dynamics for publicly supported energy technologies. Energy Policy, 37, pp. 825–835.CrossRefGoogle Scholar
Nemet, G.F., Holloway, T., and Meier, P. (2010). Implications of incorporating airquality co-benefits into climate change policymaking. Environmental Research Letters, 5(1), 014007.CrossRefGoogle Scholar
Next Energy (2004). Cost Curve for NSW Greenhouse Gas Abatement. Next Energy Pty Ltd., Sydney, Australia. Available at: www.environment.nsw.gov.au/resources/climatechange/costcurve.pdf.
Nichols, L.A. (1994). Demand-side management. Energy Policy, 22, pp. 840–847.CrossRefGoogle Scholar
Novikova, A. (2009). Sustainable Energy and Climate Mitigation Solutions and Policies: 3. Renewable Energy. Department of Environmental Sciences, Central European University, Budapest, Hungary.Google Scholar
O'Neill, B.C., Riahi, K., and Keppo, I. (2010). Mitigation implications of midcentury targets that preserve long-term climate policy options. Proceedings of the National Academy of Sciences, 107(3), pp. 1011–1016.CrossRefGoogle ScholarPubMed
Oliveira, L.B., and Rosa, L.P. (2003). Brazilian waste potential: energy, environmental, social and economic benefits. Energy Policy, 31(14), pp. 1481–1491.CrossRefGoogle Scholar
Overend, R.P., and Milbrandt, A. (2007). Potential carbon emissions reductions from biomass by 2030. In: Tackling Climate Change in the U.S.: Potential Carbon Emissions Reductions from Energy Efficiency and Renewable Energy by 2030. Kutscher, C.F. (ed.), American Solar Energy Society, Boulder, CO, USA, pp. 113–130. Available at: http://ases.org/images/stories/file/ASES/climate_change.pdf.Google Scholar
Owen, A.D. (2006). Renewable energy: Externality costs as market barriers. Energy Policy, 34(5), pp. 632–642.CrossRefGoogle Scholar
Pillai, R., and Banerjee, R. (2009). Renewable energy in India: Status and potential. Energy, 34, pp. 970–980.CrossRefGoogle Scholar
Pingoud, K., Malkki, H., Wihersaari, M., Hongisto, M., Siitonen, S., Lehtilä, A., Johansson, M., Pirila, P., and Otterstram, T. (1999). ExternE National Implementation in Finland. VTT, Espoo, Finland, 131 pp.
Preiss, P. (2009). Report on the Application of the Tools for Innovative Energy Technologies. Deliverable No. 7.2 – RS 1b, New Energy Externalities Developments for Sustainability (NEEDS), Rome, Italy.Google Scholar
Riahi, K., Grubler, A., and Nakicenovic, N. (2007). Scenarios of long-term socio-economic and environmental development under climate stabilization. Technological Forecasting and Social Change, 74(7), pp. 887–935.CrossRefGoogle Scholar
Ricci, A. (2009a). NEEDS : A Summary Account of the Final Debate. New Energy Externalities Development for Sustainability (NEEDS), Rome, Italy.Google Scholar
Ricci, A. (2009b). NEEDS : Policy Use of NEEDS Results. New Energy Externalities Development for Sustainability (NEEDS), Rome, Italy.Google Scholar
Ricci, A. (2010). Policy Use of the NEEDS report. Final integrated report, Deliverable No. 5.3 - RS In, New Energy Externalities Developments for Sustainability (NEEDS), Rome, Italy.Google Scholar
Roth, I.F., and Ambs, L.L. (2004). Incorporating externalities into a full cost approach to electric power generation life-cycle costing. Energy, 29(12-15), pp. 2125–2144.CrossRefGoogle Scholar
Rufo, M. (2003). Developing Greenhouse Gas Mitigation Supply Curves for In-State Resources. P500-03-025FAV, California Energy Commission, Sacramento, CA, USA.Google Scholar
Sagar, A.D., and Zwaan, B. (2005). Technological innovation in the energy sector: R&D, deployment, and learning-by-doing. Energy Policy, 34, pp. 2601–2608.CrossRefGoogle Scholar
Sawyer, S. (2009). The Global status of wind power. In: Global Wind Report 2009. Global Wind Energy Council, Brussels, Belgium, pp. 8–13. Available at: www.gwec.net/index.php?id=167.Google Scholar
Searchinger, T., Heimlich, R., Houghton, R.A., Dong, F.X., Elobeid, A., Fabiosa, J., Tokgoz, S., Hayes, D., and Yu, T.H. (2008). Use of US croplands for biofuels increases greenhouse gases through emissions from land-use change. Science, 319(5867), pp. 1238–1240.CrossRefGoogle Scholar
Seyboth, K., Beurskens, L., Langniss, O., and Sims, R.E.H. (2007). Recognising the potential for renewable energy heating and cooling. Energy Policy, 36(7), pp. 2460–2463.CrossRefGoogle Scholar
Sippula, O., Hokkinen, J., Puustinen, H., Yli-Pirila, P., and Jokiniemi, J. (2009). Comparison of particle emissions from small heavy fuel oil and wood-fired boilers. Atmospheric Environment, 43, pp. 4855–4864.CrossRefGoogle Scholar
Smith, K.R., Jerrett, M., Anderson, H.R., Burnett, R.T., Stone, V., Derwent, R., Atkinson, R.W., Cohen, A., Shonkoff, S.B., Krewski, D., Pope, C.A., Thun, M.J., and Thurston, G. (2009). Public health benefits of strategies to reduce greenhouse-gas emissions: health implications of short-lived greenhouse pollutants. Lancet, 374(9707), pp. 2091–2103.CrossRefGoogle ScholarPubMed
Soderholm, P., and Sundqvist, T. (2003). Pricing environmental externalities in the power sector: ethical limits and implications for social choice. Ecological Economics, 46(3), pp. 333–350.CrossRefGoogle Scholar
Soimakallio, S., Makinen, T., Ekholm, T., Pahkala, K., Mikkola, H., and Paapanen, T. (2009). Greenhouse gas balances of transportation biofuels, electricity and heat generation in Finland – Dealing with the uncertainties. Energy Policy, 37(1), pp. 80–90.CrossRefGoogle Scholar
Solinski, J. (2005). Primary energy balances of the CEE region and the countries dependence on energy import. In: International Conference on “Policy and strategy of sustainable energy development for Central and Eastern European Countries until 2030”, Warsaw, Poland, 22-23 November 2005.Google Scholar
Soderholm, P., and Sundqvist, T. (2007). Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies. Renewable Energy, 32, pp. 2559–2578.CrossRefGoogle Scholar
Spalding-Fecher, R., and Matibe, D.K. (2003). Electricity and externalities in South Africa. Energy Policy, 31(8), pp. 721–734.CrossRefGoogle Scholar
Sparovek, G., Barretto, A., Berndes, G., Martins, S., and Maule, R. (2009). Environmental, land-use and economic implications of Brazilian sugarcane expansion 1996 - 2006. Mitigation and Adaptation Strategies for Global Change, 14(3), pp. 285–298.CrossRefGoogle Scholar
Stern, N. (2007). The Economics of Climate Change. Cambridge University Press, 712 pp. Available at: webarchive.nationalarchives.gov.uk/+/http://www.hm-treasury.gov.uk/sternreview_index.htm.CrossRefGoogle Scholar
Stoft, S. (1995). The Economics of Conserved-Energy “Supply” Curves. University of California Energy Institute, Berkeley, CA, USA.Google Scholar
Sutherland, R.J. (1991). Market barriers to energy efficiency investments. Energy Journal, 3(12), pp. 15–35.Google Scholar
Sweeney, J., and Weyant, J. (2008). Analysis of Measures to Meet the Requirements of California's Assembly Bill 32. Discussion draft, September 2008. Stanford University Precourt Institute for Energy Efficiency, Stanford, CA, USA.Google Scholar
Syri, S., Karvosenoja, N., Lehtila, A., Laurila, T., Lindfors, V., and Tuovinen, J.P. (2002). Modeling the impacts of the Finnish Climate Strategy on air pollution. Atmospheric Environment, 36(19), pp. 3059–3069.CrossRefGoogle Scholar
Syri, S., Lehtilä, A., Ekholm, T., and Savolainen, I. (2008). Global energy and Emissions Scenarios for effective climate change mitigation – Deterministic and stochastic scenarios with the TIAM model. International Journal of Greenhouse Gas Control, 2, pp. 274–285.Google Scholar
Tavoni, M., and Tol, R. (2010). Counting only the hits? The risk of underestimating the costs of stringent climate policy. Climatic Change, 100(3), pp. 769–778.CrossRefGoogle Scholar
Teske, S., Pregger, T., Simon, S., Naegler, T., Graus, W., and Lins, C. (2010). Energy [R]evolution 2010–a sustainable world energy outlook. Energy Efficiency, doi:10.1007/s12053-010-9098-y.Google Scholar
Torfs, R., Hurley, F., Miller, B., and Rabl, A. (2007). A Set of Concentration-Response Functions. Deliverable 3.7 – RS1b/WP3, New Energy Externalities Development for Sustainability, Rome, Italy.Google Scholar
UK SSEFRA (2006). Climate Change. The UK Programme 2006. Secretary of State for the Environment Food and Rural Affairs (UK SSEFRA), The Stationary Office, Norwich, UK.
Benthem, A., Gillingham, K., and Sweeney, J. (2008). Learning-by-doing and the optimal solar policy in California. Energy Journal, 29(3), pp. 131–151.Google Scholar
Dam, J., Faaij, A., Lewandowski, I., and Fischer, G. (2007). Biomass production potentials in Central and Eastern Europe under different scenarios. Biomass and Bioenergy, 31(6), pp. 345–366.Google Scholar
van den Wall-Bake, J.D., Junginger, M., Faij, A., Poot, T., and Walter, A.d.S. (2009). Explaining the experience curve: Cost reductions of Brazilian ethanol from sugarcane. Biomass & Bioenergy, 33(4), pp. 644–658.CrossRefGoogle Scholar
Sark, W., Alsema, A.E., Junginger, H., Moor, H., and Schaeffer, G.J. (2007). Accuracy of progress ratios determined from experience curves: the case of crystalline silicon photovoltaic module technology development. Progress in Photovoltaics: Research and Applications, 16, pp. 441–453.CrossRefGoogle Scholar
Vliet, J., Elzen, M.G.J., and Vuuren, D.P. (2009). Meeting radiative forcing targets under delayed participation. Energy Economics, 31(Supplement 2), pp. S152-S162.CrossRefGoogle Scholar
Vuuren, D., Fengqi, Z., Vries, B., Kejun, J., Graveland, C., and Yun, L. (2003). Energy and emission scenarios for China in the 21st century – Exploration of baseline development and mitigation options. Energy Policy, 31, pp. 369–387.CrossRefGoogle Scholar
Vuuren, D., Elzen, M., Lucas, P., Eickhout, B., Strengers, B., Ruijven, B., Wonink, S., and Houdt, R. (2007). Stabilizing greenhouse gas concentrations at low levels: an assessment of reduction strategies and costs. Climatic Change, 81(2), pp. 119–159.CrossRefGoogle Scholar
Vuuren, D.P., Hoogwijk, M., Barker, T., Riahi, K., Boeters, S., Chateau, J., Scrieciu, S., Vliet, J., Masui, T., Blok, K., Blomen, E., and Kram, T. (2009). Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials. Energy Policy, 37(12), pp. 5125–5139.CrossRefGoogle Scholar
Vuuren, D.P., Isaac, M., Elzen, M.G.J., Stehfest, E., and Vliet, J. (2010). Low stabilization scenarios and implications for major world regions from an integrated assessment perspective. Energy Journal, 31(Special Issue), pp. 165–192.CrossRefGoogle Scholar
Vorum, M., and Tester, J. (2007). Potential carbon emissions reductions from geothermal power by 2030. In: Tackling Climate Change in the U.S.: Potential Carbon Emissions Reductions from Energy Efficiency and Renewable Energy by 2030. Kutscher, C.F. (ed.), American Solar Energy Society, Boulder, CO, USA, pp. 145–162. Available at: http://ases.org/images/stories/file/ASES/climate_change.pdf.Google Scholar
Watkiss, P., and Downing, T. (2008). The social cost of carbon: Valuation estimates and their use in UK policy. Integrated Assessment, 8(1), pp. 85–105.Google Scholar
,WEC (2004a). Comparison of energy systems using life cycle assessment. A special report. World Energy Council, London, UK.Google Scholar
WEC (2004b). Energy end-use technologies for the 21st century. World Energy Council, London, UK
Weisser, D. (2007). A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies. Energy, 32(9), pp. 1543–1559.CrossRefGoogle Scholar
Weitzman, M.L. (2007). Review: A Review of “The Stern Review on the Economics of Climate Change”. Journal of Economic Literature, 45(3), pp. 703–724.CrossRefGoogle Scholar
Williams, R.H. (2002). Facilitating widespread deployment of wind and photovoltaic technologies. In: 2001 Annual Report. The Energy Foundation, San Francisco, CA, USA, pp. 19–30.Google Scholar
Winkler, H., A., H., and Hawb, M. Mary (2009). Technology learning for renewable energy: Implications for South Africa's long-term mitigation scenarios. Energy Policy, 37, pp. 4987–4996.CrossRefGoogle Scholar
Wiser, R., and Bolinger, M. (2010). 2009 Wind Technologies Market Report. US Department of Energy, Washington, DC, USA.Google Scholar
Yang, C. (2010). Reconsidering solar grid parity. Energy Policy, 38, pp. 3270–3273.CrossRefGoogle Scholar
Yu, C., Sark, W., and Alsema, E. (2011). Unraveling the photovoltaic technology learning curve by incorporation of input price and scale effects. Renewable and Sustainable Energy Reviews, 15, pp. 324–337.CrossRefGoogle Scholar

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