Economics of Nuclear Power Plant Investment: Monte Carlo Simulations of Generation III/III+ Investment Projects
Research output: Working paper › Working papers
Authors
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, large-scale decarbonization and climate change considerations, this topic is gaining momentum and requires funda-mental 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 in-vestment 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 (Gen-eration 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 nega-tive, mainly driven by high construction costs, including capital costs, and uncertain and low revenues. Even ex-tending reactor lifetimes from currently 40 years to 60 years does not improve the results significantly. We con-clude that the economics of nuclear power plants are not favorable to future investments, even though addi-tional costs (decommissioning, long-term storage) and the social costs of accidents are not even considered.
Original language | English |
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Place of Publication | Berlin |
Publisher | Deutsches Institut für Wirtschaftsforschung (DIW) |
Number of pages | 29 |
Publication status | Published - 2019 |
Externally published | Yes |
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 42ndAnnual IAEE International Conference in Ljubljana in August 2019. We thank the conference participants for their valuable comments and fruitful discussions. Ben Wealer gratefully acknowledges funding from the graduate pro-gram “The Great Transformation”. We thank Clemens Gerbaulet for initiating the data work and Yussra Tolba for research support; the usual disclaimer applies.
- Economics - nuclear power, nuclear financing, investment, levelized cost of electricity, monte carlo simulation, uncertainty