Relating R&D and investment policies to CCS market diffusion through two-factor learning
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DOI: 10.1016/j.enpol.2012.09.061
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- Lohwasser, Richard & Madlener, Reinhard, 2010. "Relating R&D and Investment Policies to CCS Market Diffusion Through Two-Factor Learning," FCN Working Papers 6/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
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Citations
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- Mo, Jianlei & Schleich, Joachim & Fan, Ying, 2018.
"Getting ready for future carbon abatement under uncertainty – Key factors driving investment with policy implications,"
Energy Economics, Elsevier, vol. 70(C), pages 453-464.
- Mo, Jianlei & Schleich, Joachim & Fan, Ying, 2018. "Getting ready for future carbon abatement under uncertainty – key factors driving investment with policy implications," LSE Research Online Documents on Economics 87193, London School of Economics and Political Science, LSE Library.
- Muratori, Matteo & Ledna, Catherine & McJeon, Haewon & Kyle, Page & Patel, Pralit & Kim, Son H. & Wise, Marshall & Kheshgi, Haroon S. & Clarke, Leon E. & Edmonds, Jae, 2017. "Cost of power or power of cost: A U.S. modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 861-874.
- Fertig, Emily, 2018. "Rare breakthroughs vs. incremental development in R&D strategy for an early-stage energy technology," Energy Policy, Elsevier, vol. 123(C), pages 711-721.
- Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.
- Yang, Lin & Lv, Haodong & Wei, Ning & Li, Yiming & Zhang, Xian, 2023. "Dynamic optimization of carbon capture technology deployment targeting carbon neutrality, cost efficiency and water stress: Evidence from China's electric power sector," Energy Economics, Elsevier, vol. 125(C).
- Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
- Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
- Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying endogenous learning models in energy system optimization," Papers 2106.06373, arXiv.org.
- Liu, Jiangfeng & Zhang, Qi & Li, Hailong & Chen, Siyuan & Teng, Fei, 2022. "Investment decision on carbon capture and utilization (CCU) technologies—A real option model based on technology learning effect," Applied Energy, Elsevier, vol. 322(C).
- Stephan Spiecker & Volker Eickholt, 2013. "The Impact Of Carbon Capture And Storage On A Decarbonized German Power Market," EWL Working Papers 1304, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2013.
- Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
- Gregory Nemet & Erin Baker & Bob Barron & Samuel Harms, 2015. "Characterizing the effects of policy instruments on the future costs of carbon capture for coal power plants," Climatic Change, Springer, vol. 133(2), pages 155-168, November.
- Lohwasser, Richard & Madlener, Reinhard, 2012. "Economics of CCS for coal plants: Impact of investment costs and efficiency on market diffusion in Europe," Energy Economics, Elsevier, vol. 34(3), pages 850-863.
- Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).
- Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
- Griffiths, Steve & Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D. & Foley, Aoife M. & Bazilian, Morgan D. & Kim, Jinsoo & Uratani, Joao M., 2023. "Decarbonizing the cement and concrete industry: A systematic review of socio-technical systems, technological innovations, and policy options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
- Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
- Lohwasser, Richard & Madlener, Reinhard, 2013.
"Relating R&D and investment policies to CCS market diffusion through two-factor learning,"
Energy Policy, Elsevier, vol. 52(C), pages 439-452.
- Lohwasser, Richard & Madlener, Reinhard, 2010. "Relating R&D and Investment Policies to CCS Market Diffusion Through Two-Factor Learning," FCN Working Papers 6/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
- Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.
- Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying Endogenous Learning Models in Energy System Optimization," Energies, MDPI, vol. 14(16), pages 1-21, August.
- Wen, Xin & Jaxa-Rozen, Marc & Trutnevyte, Evelina, 2023. "Hindcasting to inform the development of bottom-up electricity system models: The cases of endogenous demand and technology learning," Applied Energy, Elsevier, vol. 340(C).
- Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
- Spiecker, S. & Eickholt, V. & Weber, C., 2014. "The impact of carbon capture and storage on a decarbonized German power market," Energy Economics, Elsevier, vol. 43(C), pages 166-177.
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More about this item
Keywords
Policy effectiveness; CCS; Two-factor-learning;All these keywords.
JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
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