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Analysis of Fire Consequences of Hua-Long One Nuclear Power Plant

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Tai-ke Wang

    (China Nuclear Power Engineering Co., Ltd., State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment)

  • Yu Hang

    (China Nuclear Power Engineering Co., Ltd., State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment)

  • Zhen-ying Jiao

    (China Nuclear Power Engineering Co., Ltd., State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment)

  • Zhen-ying Wang

    (China Nuclear Power Engineering Co., Ltd., State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment)

  • Jian-wen Zhang

    (China Nuclear Power Engineering Co., Ltd., State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment)

Abstract

Fire is one of the internal disasters that must be considered in nuclear power plants. The consequence analysis of nuclear power plant fire provides design input for the programming of fire accident treatment by analyzing the influence of regional fire on the safe and stable operation of the unit. The design of the third generation PWR nuclear power plants in China puts forward higher requirements for fire consequence analysis. According to the practical engineering application of fire consequence analysis method in Hua-long No.1 nuclear power plant, this paper introduces the fire accident design standard, fire consequence analysis content and intelligent fire consequence analysis exploration of Hua-long No.1 unit. Through the introduction of this paper, this method is extended to the subsequent fire consequence analysis of Hua-long No. 1 unit or other third-generation nuclear power plants.

Suggested Citation

  • Tai-ke Wang & Yu Hang & Zhen-ying Jiao & Zhen-ying Wang & Jian-wen Zhang, 2023. "Analysis of Fire Consequences of Hua-Long One Nuclear Power Plant," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 695-702, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_79
    DOI: 10.2991/978-94-6463-124-1_79
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