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Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant

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  • Kim, Man Cheol

Abstract

Station blackout (SBO), a total loss of alternating current (AC) power, is considered to contribute significantly to nuclear power plant risk. The analysis of SBO risk is complicated due to time-dependent interactions among events. Simplifying assumptions that are currently used extensively in probabilistic safety assessment may lead to an overly conservative estimation of SBO risk, which may distort the overall plant risk profile and the associated accident management strategy. To calculate more accurate SBO risk, this study first identified SBO sequences and the associated time-dependent interactions by differentiating fail-to-start and fail-to-run failures of alternative AC power source and turbine-driven pumps. Mathematical formulas were developed to calculate the conditional core damage probabilities corresponding to the identified SBO sequences. These mathematical formulas were verified via a Monte Carlo simulation. This study is expected to contribute to the development of an integrated framework for SBO risk analysis that includes all possible SBO sequences, related events, and their time-dependent interactions.

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  • Kim, Man Cheol, 2022. "Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s0951832021004804
    DOI: 10.1016/j.ress.2021.107969
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    References listed on IDEAS

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    1. Heo, Yunyeong & Lee, Seung Jun, 2021. "Development of a multi-unit seismic conditional core damage probability model with uncertainty analysis," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    2. Picoco, Claudia & Rychkov, Valentin & Aldemir, Tunc, 2020. "A framework for verifying Dynamic Probabilistic Risk Assessment models," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Kamyab, Shahabeddin & Nematollahi, Mohammadreza & Henneaux, Pierre & Labeau, Pierre-Etienne, 2021. "Development of a hybrid method to assess grid-related LOOP scenarios for an NPP," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    4. Modarres, Mohammad & Zhou, Taotao & Massoud, Mahmoud, 2017. "Advances in multi-unit nuclear power plant probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 87-100.
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    Cited by:

    1. Hanna Hrinchenko & Olha Prokopenko & Nadiia Shmygol & Viktor Koval & Liliya Filipishyna & Svitlana Palii & Lucian-Ionel Cioca, 2024. "Sustainable Energy Safety Management Utilizing an Industry-Relative Assessment of Enterprise Equipment Technical Condition," Sustainability, MDPI, vol. 16(2), pages 1-17, January.
    2. 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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