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Insights into the Societal Risk of Nuclear Power Plant Accidents

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  • Richard Denning
  • Vinod Mubayi

Abstract

The elements of societal risk from a nuclear power plant accident are clearly illustrated by the Fukushima accident: land contamination, long‐term relocation of large numbers of people, loss of productive farm area, loss of industrial production, and significant loss of electric capacity. NUREG‐1150 and other studies have provided compelling evidence that the individual health risk of nuclear power plant accidents is effectively negligible relative to other comparable risks, even for people living in close proximity to a plant. The objective of this study is to compare the societal risk of nuclear power plant accidents to that of other events to which the public is exposed. We have characterized the monetized societal risk in the United States from major societally disruptive events, such as hurricanes, in the form of a complementary cumulative distribution function. These risks are compared with nuclear power plant risks, based on NUREG‐1150 analyses and new MACCS code calculations to account for differences in source terms determined in the more recent SOARCA study. A candidate quantitative societal objective is discussed for potential adoption by the NRC. The results are also interpreted with regard to the acceptability of nuclear power as a major source of future energy supply.

Suggested Citation

  • Richard Denning & Vinod Mubayi, 2017. "Insights into the Societal Risk of Nuclear Power Plant Accidents," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 160-172, January.
    • Handle: RePEc:wly:riskan:v:37:y:2017:i:1:p:160-172
    DOI: 10.1111/risa.12590
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    References listed on IDEAS

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    1. Burgherr, Peter & Hirschberg, Stefan, 2008. "Severe accident risks in fossil energy chains: A comparative analysis," Energy, Elsevier, vol. 33(4), pages 538-553.
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    Cited by:

    1. Zhao, Yunfei & Huang, Linan & Smidts, Carol & Zhu, Quanyan, 2020. "Finite-horizon semi-Markov game for time-sensitive attack response and probabilistic risk assessment in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    2. Tobias Rösch & Peter Treffinger & Barbara Koch, 2021. "Regional Flexibility Markets—Solutions to the European Energy Distribution Grid—A Systematic Review and Research Agenda," Energies, MDPI, vol. 14(9), pages 1-32, April.

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