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Nuclear reactors' construction costs: The role of lead-time, standardization and technological progress

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  • Berthélemy, Michel
  • Escobar Rangel, Lina

Abstract

This paper provides an econometric analysis of nuclear reactor construction costs in France and the United States based on overnight costs data. We build a simultaneous system of equations for overnight costs and construction time (lead-time) to control for endogeneity, using change in expected electricity demand as instrument. We argue that the construction of nuclear reactors can benefit from standardization gains through two channels. First, short term coordination benefits can arise when the diversity of nuclear reactors' designs under construction is low. Second, long term benefits can occur due to learning spillovers from past constructions of similar reactors. We find that construction costs benefit directly from learning spillovers but that these spillovers are only significant for nuclear models built by the same Architect–Engineer. In addition, we show that the standardization of nuclear reactors under construction has an indirect and positive effect on construction costs through a reduction in lead-time, the latter being one of the main drivers of construction costs. Conversely, we also explore the possibility of learning by searching and find that, contrary to other energy technologies, innovation leads to construction costs increases.

Suggested Citation

  • Berthélemy, Michel & Escobar Rangel, Lina, 2015. "Nuclear reactors' construction costs: The role of lead-time, standardization and technological progress," Energy Policy, Elsevier, vol. 82(C), pages 118-130.
  • Handle: RePEc:eee:enepol:v:82:y:2015:i:c:p:118-130
    DOI: 10.1016/j.enpol.2015.03.015
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    1. Fabien A. Roques & William J. Nuttall & David M. Newbery & Richard de Neufville & Stephen Connors, 2006. "Nuclear Power: A Hedge against Uncertain Gas and Carbon Prices?," The Energy Journal, , vol. 27(4), pages 1-24, October.
    2. Lina Escobar Rangel & François Lévêque, 2012. "Revisiting the cost escalation curse of nuclear power: New lessons from the French experience," Working Papers hal-00780566, HAL.
    3. WJ Nuttall & S Taylor, 2008. "Financing the Nuclear Renaissance," Working Papers EPRG 0814, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    4. MacKerron, Gordon, 2004. "Nuclear power and the characteristics of `ordinariness'--the case of UK energy policy," Energy Policy, Elsevier, vol. 32(17), pages 1957-1965, November.
    5. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    6. Gollier, Christian & Proult, David & Thais, Francoise & Walgenwitz, Gilles, 2005. "Choice of nuclear power investments under price uncertainty: Valuing modularity," Energy Economics, Elsevier, vol. 27(4), pages 667-685, July.
    7. David, Paul A. & Rothwell, Geoffrey S., 1996. "Standardization, diversity and learning: Strategies for the coevolution of technology and industrial capacity," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 181-201.
    8. Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
    9. Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, , vol. 28(3), pages 51-72, July.
    10. 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.
    11. Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
    12. Martin B. Zimmerman, 1982. "Learning Effects and the Commercialization of New Energy Technologies: The Case of Nuclear Power," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 297-310, Autumn.
    13. Klaassen, Ger & Miketa, Asami & Larsen, Katarina & Sundqvist, Thomas, 2005. "The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom," Ecological Economics, Elsevier, vol. 54(2-3), pages 227-240, August.
    14. Kessides, Ioannis N., 2012. "The future of the Nuclear industry reconsidered : risks, uncertainties, and continued potential," Policy Research Working Paper Series 6112, The World Bank.
    15. McCabe, Mark J, 1996. "Principals, Agents, and the Learning Curve: The Case of Steam-Electric Power Plant Design and Construction," Journal of Industrial Economics, Wiley Blackwell, vol. 44(4), pages 357-375, December.
    16. 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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    6. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
    7. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    8. Lovering, Jessica R. & Yip, Arthur & Nordhaus, Ted, 2016. "Historical construction costs of global nuclear power reactors," Energy Policy, Elsevier, vol. 91(C), pages 371-382.
    9. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    10. Perrier, Quentin, 2018. "The second French nuclear bet," Energy Economics, Elsevier, vol. 74(C), pages 858-877.
    11. Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
    12. Jeong, Minsoo & You, Jung S., 2022. "Estimating the economic costs of nuclear power plant outages in a regulated market using a latent factor model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    13. Portugal-Pereira, J. & Ferreira, P. & Cunha, J. & Szklo, A. & Schaeffer, R. & Araújo, M., 2018. "Better late than never, but never late is better: Risk assessment of nuclear power construction projects," Energy Policy, Elsevier, vol. 120(C), pages 158-166.
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