After Fukushima nuclear power plant accident, severe accident is getting more and more concerns all over the world. In order to mitigate severe accident and improve the safety of nuclear power plant, two different strategies are applied in different plants. One is in-vessel melt retention strategy, and the other is ex-vessel melt retention strategy. Tianwan nuclear power plant is an improved Gen II nuclear power plant and in-vessel melt retention strategy is adopted in the plant. In order to achieve this strategy, cavity injection system is designed for the plant. Probabilistic Safety Analysis is the most commonly used quantitative risk assessment tool for decision-making in selecting the optimal design among alternative options. For this plant, in order to optimize the design of cavity injection system, improve the safety level of nuclear power plant, and meanwhile, improve the engineering implementation and economization, Level 2 PSA was used for this decision-making process. In this paper, the Level 2 PSA for this plant and the application for the design of cavity injection system are introduced.
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2018 26th International Conference on Nuclear Engineering
July 22–26, 2018
London, England
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5144-9
PROCEEDINGS PAPER
Application of Level 2 PSA in the Design of Cavity Injection System for Nuclear Power Plant
Wentao Zhu,
Wentao Zhu
China Nuclear Power Engineering Co., Ltd., Beijing, China
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Wenjing Li
Wenjing Li
China Nuclear Power Engineering Co., Ltd., Beijing, China
Search for other works by this author on:
Wentao Zhu
China Nuclear Power Engineering Co., Ltd., Beijing, China
Wenjing Li
China Nuclear Power Engineering Co., Ltd., Beijing, China
Paper No:
ICONE26-82095, V002T14A019; 5 pages
Published Online:
October 24, 2018
Citation
Zhu, W, & Li, W. "Application of Level 2 PSA in the Design of Cavity Injection System for Nuclear Power Plant." Proceedings of the 2018 26th International Conference on Nuclear Engineering. Volume 2: Plant Systems, Structures, Components, and Materials; Risk Assessments and Management. London, England. July 22–26, 2018. V002T14A019. ASME. https://doi.org/10.1115/ICONE26-82095
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