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Investing into third generation nuclear power plants - Review of recent trends and analysis of future investments using Monte Carlo Simulation

  • B. Wealer*
  • , Stefan Bauer
  • , Christian von Hirschhausen
  • , Claudia Kemfert
  • , Leonard Göke
  • *Corresponding author for this work

Research output: Journal contributions › Scientific review articles › Research

77 Citations (Scopus)

Abstract

This paper provides a review of trends in third generation nuclear power plants, and analyzes current and future nuclear power plant investments using Monte Carlo simulations of economic indicators. We first review global trends of nuclear power plant investments, including technical as well as economic trends. The review suggests that cost escalations in the sector observed in previous research continue until today, including the most recent investment projects in the U.S. and in Europe. In order to extend this analysis, we carry out our own investment analysis of a representative third generation nuclear power plant, focusing on the net present value and the levelized cost of electricity. We base our analysis on a stochastic Monte Carlo simulation to nuclear power plant investments. We define and estimate the main drivers of our model: Overnight construction costs, wholesale electricity prices, and weighted average cost of capital, and discuss reasonable ranges and distributions of those parameters. 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 does not improve the results significantly. We conclude that our numerical exercise confirms the literature review, i.e. 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.

Original languageEnglish
Article number110836
JournalRenewable and Sustainable Energy Reviews
Volume143
ISSN1364-0321
DOIs
Publication statusPublished - 01.06.2021

Bibliographical note

An earlier version of this paper was presented at the 41st Annual IAEE International Conference in Groningen in June 2018, at the 36th USAEE North American Conference in Washington in September 2018, and at the 42nd Annual IAEE International Conference in Ljubljana in August 2019. We thank the conference participants for their valuable comments and fruitful discussions. An extended abstract was published in the IAEE Energy Forum Special Issue Groningen [80]. An earlier version of the paper was published as DIW Discussion Paper 1833 [81]. We thank Clemens Gerbaulet for initiating the data work and Yussra Tolba for research support; the usual disclaimer applies.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research areas and keywords

  • Investment
  • Levelized cost of electricity
  • Monte Carlo simulation
  • Nuclear financing
  • Nuclear power
  • Uncertainty
  • Economics
  • Sustainability Governance

ASJC Scopus Subject Areas

  • Renewable Energy, Sustainability and the Environment

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