Analysis of Failures on Demand of Reactor Core Isolation Cooling System in BWRs by Hierarchical Bayes Method

  • NODA Hiroshi
    Division of Energy and Environmental Systems, Graduate School of Engineering, Hokkaido University
  • NARABAYASHI Tadashi
    Division of Energy and Environmental Systems, Graduate School of Engineering, Hokkaido University
  • YOSHIDA Tomoaki
    Nuclear Technology Research Laboratory, Central Research Institute of Electric Power Industry
  • NAKAMURA Makoto
    Nuclear Technology Research Laboratory, Central Research Institute of Electric Power Industry
  • KIRIMOTO Yukihiro
    Codes and Standards Division, Japan Nuclear Technology Institute

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Other Title
  • 階層モデル・ベイズ統計によるBWR原子炉隔離時冷却系のデマンド故障の評価
  • カイソウ モデル ベイズ トウケイ ニ ヨル BWR ゲンシロ カクリジ レイキャクケイ ノ デマンド コショウ ノ ヒョウカ

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Abstract

  Failures on demand of a reactor core isolation cooling (RCIC) system in BWRs are the most frequent events of limiting conditions for operation during 1982-2006 in Japan, according to data gathered in Nuclear Information Archives (NUCIA). In this work, probabilities of failures of the RCIC system are analyzed by using the hierarchical Bayes method. The failures on demand of the RCIC system are classified into two groups; one is related to the demand at a periodical inspection test, which is performed almost every 13 months at the end of the periodical inspection of the nuclear power plant, and the other is related to the monthly surveillance test during plant operation. The hierarchical Bayes analysis shows the characteristics of probabilities of failures of each Japanese plant and also that probabilities of failures at the periodical inspection test are quite different from those at the surveillance test, comparing Japanese nuclear power plants with American ones. This paper provides a new approach to analyzing sparse failure data taken from nuclear power plants in Japan.<br>

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