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Formulation of A Risk Assessment Framework Capable of Analyzing Nuclear Power Multiunit Accident Scenarios

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  • Cai, Yinan
  • Golay, Michael W.

Abstract

During the 2011 Fukushima Daiichi and Daini accidents, the interactions of multiple units at the same nuclear power plant site made accident mitigation more difficult compared to single unit sites. The accidents revealed important multiunit risk factors that typically are not identified by risk assessments for single-unit sites. Therefore, in order to obtain an integrated risk evaluation for multiunit sites, it is important to analyze accident scenarios involving interactions of multiple reactor units. However, such analyses are difficult due to the complexity of potential multiunit interactions. In the work reported here, a framework for analyzing multiunit accident scenarios involving inter-unit interactions is presented. The major steps of the framework are illustrated using a simplified two-unit site. The framework is capable of providing accident mitigation suggestions based upon analysis results. In this work, accident scenarios inspired by the Fukushima Daiichi and Daini experiences are selected as analysis subjects. By analyzing these scenarios and providing corresponding accident mitigation suggestions, the capabilities of the framework are illustrated.

Suggested Citation

  • Cai, Yinan & Golay, Michael W., 2020. "Formulation of A Risk Assessment Framework Capable of Analyzing Nuclear Power Multiunit Accident Scenarios," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:reensy:v:202:y:2020:i:c:s095183202030541x
    DOI: 10.1016/j.ress.2020.107040
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    References listed on IDEAS

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    1. Schroer, Suzanne & Modarres, Mohammad, 2013. "An event classification schema for evaluating site risk in a multi-unit nuclear power plant probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 40-51.
    2. Zhou, Taotao & Modarres, Mohammad & Droguett, Enrique López, 2018. "An improved multi-unit nuclear plant seismic probabilistic risk assessment approach," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 34-47.
    3. Hakata, Tadakuni, 2007. "Seismic PSA method for multiple nuclear power plants in a site," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 883-894.
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    2. Pang, Rui & Zai, Dezhi & Xu, Bin & Liu, Jun & Zhao, Chunfeng & Fan, Qunying & Chen, Yuting, 2023. "Stochastic dynamic and reliability analysis of AP1000 nuclear power plants via DPIM subjected to mainshock-aftershock sequences," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Yan, Rundong & Dunnett, Sarah & Andrews, John, 2023. "A Petri net model-based resilience analysis of nuclear power plants under the threat of natural hazards," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    4. Dhulipala, Somayajulu L.N. & Shields, Michael D. & Chakroborty, Promit & Jiang, Wen & Spencer, Benjamin W. & Hales, Jason D. & Labouré, Vincent M. & Prince, Zachary M. & Bolisetti, Chandrakanth & Che, 2022. "Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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