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Ensembles of climate change models for risk assessment of nuclear power plants

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  • Matteo Vagnoli
  • Francesco Di Maio
  • Enrico Zio

Abstract

Climate change affects technical systems, structures and infrastructures, changing the environmental context for which systems, structures and infrastructure were originally designed. In order to prevent any risk growth beyond acceptable levels, the climate change effects must be accounted for into risk assessment models. Climate models can provide future climate data, such as air temperature and pressure. However, the reliability of climate models is a major concern due to the uncertainty in the temperature and pressure future projections. In this work, we consider five climate change models (individually unable to accurately provide historical recorded temperatures and, thus, also future projections) and ensemble their projections for integration in a probabilistic safety assessment, conditional on climate projections. As case study, we consider the passive containment cooling system of two AP1000 nuclear power plants. Results provided by the different ensembles are compared. Finally, a risk-based classification approach is performed to identify critical future temperatures, which may lead to passive containment cooling system risks beyond acceptable levels.

Suggested Citation

  • Matteo Vagnoli & Francesco Di Maio & Enrico Zio, 2018. "Ensembles of climate change models for risk assessment of nuclear power plants," Journal of Risk and Reliability, , vol. 232(2), pages 185-200, April.
    • Handle: RePEc:sae:risrel:v:232:y:2018:i:2:p:185-200
    DOI: 10.1177/1748006X17734946
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    References listed on IDEAS

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    1. Kristin Linnerud & Torben K. Mideksa & Gunnar S. Eskeland, 2011. "The Impact of Climate Change on Nuclear Power Supply," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 149-168.
    2. Enrique López Droguett & Ali Mosleh, 2014. "Bayesian Treatment of Model Uncertainty for Partially Applicable Models," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 252-270, February.
    3. Barry Anderson & Emanuele Borgonovo & Marzio Galeotti & Roberto Roson, 2014. "Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help?," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 271-293, February.
    4. Kopytko, Natalie & Perkins, John, 2011. "Climate change, nuclear power, and the adaptation-mitigation dilemma," Energy Policy, Elsevier, vol. 39(1), pages 318-333, January.
    5. Piero Baraldi & Enrico Zio, 2010. "A Comparison Between Probabilistic and Dempster‐Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories," Risk Analysis, John Wiley & Sons, vol. 30(7), pages 1139-1156, July.
    6. Piero Baraldi & Enrico Zio, 2008. "A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1309-1326, October.
    7. Di Maio, Francesco & Bandini, Alessandro & Zio, Enrico & Alberola, Sofia Carlos & Sanchez-Saez, Francisco & Martorell, Sebastián, 2016. "Bootstrapped-ensemble-based Sensitivity Analysis of a trace thermal-hydraulic model based on a limited number of PWR large break loca simulations," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 122-134.
    8. Zio, Enrico & Di Maio, Francesco & Tong, Jiejuan, 2010. "Safety margins confidence estimation for a passive residual heat removal system," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 828-836.
    9. Pourgol-Mohamad, Mohammad & Mosleh, Ali & Modarres, Mohammad, 2010. "Methodology for the use of experimental data to enhance model output uncertainty assessment in thermal hydraulics codes," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 77-86.
    10. Markku Rummukainen, 2013. "Climate change: changing means and changing extremes," Climatic Change, Springer, vol. 121(1), pages 3-13, November.
    11. Sameer Al-Dahidi & Francesco Di Maio & Piero Baraldi & Enrico Zio, 2017. "A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets," Post-Print hal-01652222, HAL.
    12. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
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