IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp1833.html
   My bibliography  Save this paper

Economics of Nuclear Power Plant Investment: Monte Carlo Simulations of Generation III/III+ Investment Projects

Author

Listed:
  • Ben Wealer
  • Simon Bauer
  • Leonard Göke
  • Christian von Hirschhausen
  • Claudia Kemfert

Abstract

This paper analyzes nuclear power plant investments using Monte Carlo simulations of economic indicators such as net present value (NPV) and levelized cost of electricity (LCOE). In times of liberalized electricity markets, largescale decarbonization and climate change considerations, this topic is gaining momentum and requires fundamental analysis of cost drivers. We adopt the private investors’ perspective and ask: What are the investors’ economics of nuclear power, or - stated differently - would a private investor consider nuclear power as an investment option in the context of a competitive power market? By focusing on the perspective of an investor, we leave aside the public policy perspective, such as externalities, cost-benefit analysis, proliferation issues, etc. Instead, we apply a conventional economic perspective, such as proposed by Rothwell (2016) to calculate NPV and LCOE. We base our analysis on a stochastic Monte Carlo simulation to nuclear power plant investments of generation III/III+, i.e. available technologies with some experience and an extensive scrutiny of cost data. We define and estimate the main drivers of our model, i.e. overnight construction costs, wholesale electricity prices, and weighted average cost of capital, and discuss reasonable ranges and distributions of those parameters. We apply the model to recent and ongoing investment projects in the Western world, i.e. Europe and the United States; cases in non-market economies such as China and Russia, and other non-established technologies (Generation IV reactors and small modular reactors) are excluded from the analysis due to data issues. Model runs suggest that investing in nuclear power plants is not profitable, i.e. expected net present values are highly negative, mainly driven by high construction costs, including capital costs, and uncertain and low revenues. Even extending reactor lifetimes from currently 40 years to 60 years does not improve the results significantly. We conclude that the economics of nuclear power plants are not favorable to future investments, even though additional costs (decommissioning, long-term storage) and the social costs of accidents are not even considered.

Suggested Citation

  • Ben Wealer & Simon Bauer & Leonard Göke & Christian von Hirschhausen & Claudia Kemfert, 2019. "Economics of Nuclear Power Plant Investment: Monte Carlo Simulations of Generation III/III+ Investment Projects," Discussion Papers of DIW Berlin 1833, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1833
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.698579.de/dp1833.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lucas W. Davis, 2012. "Prospects for Nuclear Power," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 49-66, Winter.
    2. Spinney, Peter J & Watkins, G Campbell, 1996. "Monte Carlo simulation techniques and electric utility resource decisions," Energy Policy, Elsevier, vol. 24(2), pages 155-163, February.
    3. 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.
    4. Thomas, Steve, 2019. "Is it the end of the line for Light Water Reactor technology or can China and Russia save the day?," Energy Policy, Elsevier, vol. 125(C), pages 216-226.
    5. Lina Escobar Rangel and Francois Leveque, 2015. "Revisiting the Cost Escalation Curse of Nuclear Power: New Lessons from the French Experience," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    6. MacKerron, Gordon, 1992. "Nuclear costs : Why do they keep rising?," Energy Policy, Elsevier, vol. 20(7), pages 641-652, July.
    7. 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.
    8. Christian von Hirschhausen & Clemens Gerbaulet & Claudia Kemfert & Casimir Lorenz & Pao-Yu Oei (ed.), 2018. "Energiewende "Made in Germany"," Springer Books, Springer, number 978-3-319-95126-3, November.
    9. François Lévêque & Lina Escobar Rangel, 2015. "Revisiting the Cost Escalation Curse of Nuclear Power Generation: New Lessons from the French Experience," Post-Print hal-01260975, HAL.
    10. Kessides, Ioannis N., 2014. "Powering Africa׳s sustainable development: The potential role of nuclear energy," Energy Policy, Elsevier, vol. 74(S1), pages 57-70.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wealer, B. & Bauer, S. & Hirschhausen, C.v. & Kemfert, C. & Göke, L., 2021. "Investing into third generation nuclear power plants - Review of recent trends and analysis of future investments using Monte Carlo Simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wealer, B. & Bauer, S. & Hirschhausen, C.v. & Kemfert, C. & Göke, L., 2021. "Investing into third generation nuclear power plants - Review of recent trends and analysis of future investments using Monte Carlo Simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    2. 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.
    3. 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.
    4. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
    5. Matsuo, Yuhji & Nei, Hisanori, 2019. "An analysis of the historical trends in nuclear power plant construction costs: The Japanese experience," Energy Policy, Elsevier, vol. 124(C), pages 180-198.
    6. Christian von Hirschhausen, 2017. "Nuclear Power in the Twenty-First Century: An Assessment (Part I)," Discussion Papers of DIW Berlin 1700, DIW Berlin, German Institute for Economic Research.
    7. Steigerwald, Björn & Weibezahn, Jens & Slowik, Martin & von Hirschhausen, Christian, 2023. "Uncertainties in estimating production costs of future nuclear technologies: A model-based analysis of small modular reactors," Energy, Elsevier, vol. 281(C).
    8. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
    9. Quentin Perrier, 2017. "The French Nuclear Bet," Working Papers 2017.18, Fondazione Eni Enrico Mattei.
    10. Perrier, Quentin, 2018. "The second French nuclear bet," Energy Economics, Elsevier, vol. 74(C), pages 858-877.
    11. Suna, Demet & Resch, Gustav, 2016. "Is nuclear economical in comparison to renewables?," Energy Policy, Elsevier, vol. 98(C), pages 199-209.
    12. Quentin Perrier, 2017. "The French nuclear bet," CIRED Working Papers halshs-01487296, HAL.
    13. Bent Flyvbjerg, 2021. "Four Ways to Scale Up: Smart, Dumb, Forced, and Fumbled," Papers 2101.11104, arXiv.org.
    14. Ben Wealer & Christian von Hirschhausen, 2020. "Nuclear Power as a System Good: Organizational Models for Production along the Value-Added Chain," Discussion Papers of DIW Berlin 1883, DIW Berlin, German Institute for Economic Research.
    15. Sven-Olof Fridolfsson and Thomas P. Tangeras, 2015. "Nuclear Capacity Auctions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    16. Linares, Pedro & Conchado, Adela, 2013. "The economics of new nuclear power plants in liberalized electricity markets," Energy Economics, Elsevier, vol. 40(S1), pages 119-125.
    17. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    18. Hayashi, Masatsugu & Hughes, Larry, 2013. "The Fukushima nuclear accident and its effect on global energy security," Energy Policy, Elsevier, vol. 59(C), pages 102-111.
    19. Roger Fouquet (ed.), 2013. "Handbook on Energy and Climate Change," Books, Edward Elgar Publishing, number 14429.
    20. 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.

    More about this item

    Keywords

    nuclear power; nuclear financing; investment; levelized cost of electricity; monte carlo simulation; uncertainty;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G00 - Financial Economics - - General - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwwpp:dp1833. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.