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Cost of power or power of cost: A U.S. modeling perspective

Author

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  • Muratori, Matteo
  • Ledna, Catherine
  • McJeon, Haewon
  • Kyle, Page
  • Patel, Pralit
  • Kim, Son H.
  • Wise, Marshall
  • Kheshgi, Haroon S.
  • Clarke, Leon E.
  • Edmonds, Jae

Abstract

Future scenarios and assessment studies used to prepare for long-term energy transitions and develop robust strategies to address climate change are highly dependent on the assessment of technology characteristics and availability.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:77:y:2017:i:c:p:861-874
    DOI: 10.1016/j.rser.2017.04.055
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    as
    1. Rubin, Edward S. & Yeh, Sonia & Antes, Matt & Berkenpas, Michael & Davison, John, 2007. "Use of experience curves to estimate the future cost of power plants with CO2 capture," Institute of Transportation Studies, Working Paper Series qt46x6h0n0, Institute of Transportation Studies, UC Davis.
    2. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634.
    3. Li, Bingyun & Duan, Yuhua & Luebke, David & Morreale, Bryan, 2013. "Advances in CO2 capture technology: A patent review," Applied Energy, Elsevier, vol. 102(C), pages 1439-1447.
    4. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt96z5s545, Institute of Transportation Studies, UC Davis.
    5. Steven A. Gabriel & Andy S. Kydes & Peter Whitman, 2001. "The National Energy Modeling System: A Large-Scale Energy-Economic Equilibrium Model," Operations Research, INFORMS, vol. 49(1), pages 14-25, February.
    6. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
    7. Paul L. Joskow, 2008. "Lessons Learned From Electricity Market Liberalization," The Energy Journal, , vol. 29(2_suppl), pages 9-42, December.
    8. Grubler, Arnulf, 2010. "The costs of the French nuclear scale-up: A case of negative learning by doing," Energy Policy, Elsevier, vol. 38(9), pages 5174-5188, September.
    9. 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.
    10. McNerney, James & Doyne Farmer, J. & Trancik, Jessika E., 2011. "Historical costs of coal-fired electricity and implications for the future," Energy Policy, Elsevier, vol. 39(6), pages 3042-3054, June.
    11. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    12. Renner, Marie, 2014. "Carbon prices and CCS investment: A comparative study between the European Union and China," Energy Policy, Elsevier, vol. 75(C), pages 327-340.
    13. Yeh, Sonia & Rubin, Edward S, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt3zz2w2wr, Institute of Transportation Studies, UC Davis.
    14. Bolinger, Mark & Wiser, Ryan, 2009. "Wind power price trends in the United States: Struggling to remain competitive in the face of strong growth," Energy Policy, Elsevier, vol. 37(3), pages 1061-1071, March.
    15. Wang, Yu & Zhou, Sheng & Huo, Hong, 2014. "Cost and CO2 reductions of solar photovoltaic power generation in China: Perspectives for 2020," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 370-380.
    16. Clarke, Leon & Weyant, John & Birky, Alicia, 2006. "On the sources of technological change: Assessing the evidence," Energy Economics, Elsevier, vol. 28(5-6), pages 579-595, November.
    17. Larsson, Simon & Fantazzini, Dean & Davidsson, Simon & Kullander, Sven & Höök, Mikael, 2014. "Reviewing electricity production cost assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 170-183.
    18. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    19. Clarke, John F. & Edmonds, J. A., 1993. "Modelling energy technologies in a competitive market," Energy Economics, Elsevier, vol. 15(2), pages 123-129, April.
    20. Marie Renner, 2014. "Carbon prices and CCS investment: comparative study between the European Union and China," Working Papers 1402, Chaire Economie du climat.
    21. Rubin, Edward S & Taylor, Margaret R & Yeh, Sonia & Hounshell, David A, 2004. "Learning curves for environmental technology and their importance for climate policy analysis," Energy, Elsevier, vol. 29(9), pages 1551-1559.
    22. 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.
    23. McGovern, T. & Hicks, C., 2004. "Deregulation and restructuring of the global electricity supply industry and its impact upon power plant suppliers," International Journal of Production Economics, Elsevier, vol. 89(3), pages 321-337, June.
    24. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    25. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt1f25b3xq, Institute of Transportation Studies, UC Davis.
    26. repec:dau:papers:123456789/12983 is not listed on IDEAS
    27. Bilgili, Mehmet & Ozbek, Arif & Sahin, Besir & Kahraman, Ali, 2015. "An overview of renewable electric power capacity and progress in new technologies in the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 323-334.
    28. Yeh, Sonia & Rubin, Edward, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt4xn4w7rn, Institute of Transportation Studies, UC Davis.
    29. Herzog, Howard J., 2011. "Scaling up carbon dioxide capture and storage: From megatons to gigatons," Energy Economics, Elsevier, vol. 33(4), pages 597-604, July.
    30. Cantor, Robin & Hewlett, James, 1988. "The economics of nuclear power : Further evidence on learning, economies of scale, and regulatory effects," Resources and Energy, Elsevier, vol. 10(4), pages 315-335, December.
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    2. Marco Casazza & Francesco Gonella & Gengyuan Liu & Antonio Proto & Renato Passaro, 2021. "Physical Constraints on Global Social-Ecological Energy System," Energies, MDPI, vol. 14(23), pages 1-25, December.
    3. Feijoo, Felipe & Iyer, Gokul C. & Avraam, Charalampos & Siddiqui, Sauleh A. & Clarke, Leon E. & Sankaranarayanan, Sriram & Binsted, Matthew T. & Patel, Pralit L. & Prates, Nathalia C. & Torres-Alfaro,, 2018. "The future of natural gas infrastructure development in the United states," Applied Energy, Elsevier, vol. 228(C), pages 149-166.
    4. Edmonds, James & Nichols, Christopher & Adamantiades, Misha & Bistline, John & Huster, Jonathan & Iyer, Gokul & Johnson, Nils & Patel, Pralit & Showalter, Sharon & Victor, Nadja & Waldhoff, Stephanie , 2020. "Could congressionally mandated incentives lead to deployment of large-scale CO2 capture, facilities for enhanced oil recovery CO2 markets and geologic CO2 storage?," Energy Policy, Elsevier, vol. 146(C).
    5. Sampedro, Jon & Kyle, Page & Ramig, Christopher W. & Tanner, Daniel & Huster, Jonathan E. & Wise, Marshall A., 2021. "Dynamic linking of upstream energy and freight demands for bio and fossil energy pathways in the Global Change Analysis Model," Applied Energy, Elsevier, vol. 302(C).
    6. Forouli, Aikaterini & Doukas, Haris & Nikas, Alexandros & Sampedro, Jon & Van de Ven, Dirk-Jan, 2019. "Identifying optimal technological portfolios for European power generation towards climate change mitigation: A robust portfolio analysis approach," Utilities Policy, Elsevier, vol. 57(C), pages 33-42.
    7. Ou, Yang & Shi, Wenjing & Smith, Steven J. & Ledna, Catherine M. & West, J. Jason & Nolte, Christopher G. & Loughlin, Daniel H., 2018. "Estimating environmental co-benefits of U.S. low-carbon pathways using an integrated assessment model with state-level resolution," Applied Energy, Elsevier, vol. 216(C), pages 482-493.

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