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

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  • Michel Berthélemy

    (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Lina Escobar Rangel

    (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper provides the first comparative analysis of nuclear reactor construction costs in France and the United States. Studying the cost of nuclear power has often been a challenge, owing to the lack of reliable data sources and heterogeneity between countries, as well as the long time horizon which requires controlling for input prices and structural changes. We build a simultaneous system of equations for overnight costs and construction time (lead-time) to control for endogeneity, using expected demand variation as an instrument. We argue that benefits from nuclear reactor program standardization can arise through short term coordination gains, when the diversity of nuclear reactors' technologies under construction is low, or through long term benefits from learning spillovers from past reactor construction experience, if those spillovers are limited to similar reactors. We find that overnight construction costs benefit directly from learning spillovers but that these spillovers are only significant for nuclear models built by the same Architect Engineer (A-E). 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

  • Michel Berthélemy & Lina Escobar Rangel, 2013. "Nuclear reactors' construction costs: The role of lead-time, standardization and technological progress," Working Papers hal-00956292, HAL.
  • Handle: RePEc:hal:wpaper:hal-00956292
    Note: View the original document on HAL open archive server: https://hal.science/hal-00956292
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    References listed on IDEAS

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    Cited by:

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    2. Levi, Peter G. & Pollitt, Michael G., 2015. "Cost trajectories of low carbon electricity generation technologies in the UK: A study of cost uncertainty," Energy Policy, Elsevier, vol. 87(C), pages 48-59.
    3. 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.
    4. 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).
    5. 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.
    6. Batini, Nicoletta & Di Serio, Mario & Fragetta, Matteo & Melina, Giovanni & Waldron, Anthony, 2022. "Building back better: How big are green spending multipliers?," Ecological Economics, Elsevier, vol. 193(C).
    7. Wyman-Pain, Heather & Bian, Yuankai & Thomas, Cain & Li, Furong, 2018. "The economics of different generation technologies for frequency response provision," Applied Energy, Elsevier, vol. 222(C), pages 554-563.
    8. Knapp, Vladimir & Pevec, Dubravko, 2018. "Promises and limitations of nuclear fission energy in combating climate change," Energy Policy, Elsevier, vol. 120(C), pages 94-99.
    9. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
    10. 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.
    11. 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.
    12. 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).
    13. Perrier, Quentin, 2018. "The second French nuclear bet," Energy Economics, Elsevier, vol. 74(C), pages 858-877.
    14. Gangyang, Zheng & Xianke, Peng & Xiaozhen, Li & Yexi, Kang & Xiangeng, Zhao, 2021. "Research on the standardization strategy of China's nuclear industry," Energy Policy, Elsevier, vol. 155(C).
    15. Xoubi, Ned, 2019. "Economic assessment of nuclear electricity from VVER-1000 reactor deployment in a developing country," Energy, Elsevier, vol. 175(C), pages 14-22.

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