Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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An Investigation of Fire Human Reliability Analysis (HRA) Factors for Quantification of Post-fire Operator Manual Actions (OMA)

화재 후 운전원수동조치(OMA) 정량화를 위한 화재 인간신뢰도분석 (HRA) 요소에 대한 고찰

  • Sun Yeong Choi (Risk Assessment Resaerch Division, Korea Atomic Energy Research Institute) ;
  • Dae Il Kang (Risk Assessment Resaerch Division, Korea Atomic Energy Research Institute) ;
  • Yong Hun Jung (Risk Assessment Resaerch Division, Korea Atomic Energy Research Institute)
  • 최선영 (한국원자력연구원 리스크평가연구부) ;
  • 강대일 (한국원자력연구원 리스크평가연구부) ;
  • 정용훈 (한국원자력연구원 리스크평가연구부)
  • Received : 2023.07.25
  • Accepted : 2023.12.06
  • Published : 2023.12.31
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Abstract

The purpose of this paper is to derive a quantified approach for Operator Manual Actions (OMAs) based on the existing fire Human Reliability Analysis (HRA) methodology developed by the Korea Atomic Energy Research Institute (KAERI). The existing fire HRA method was reviewed, and supplementary considerations for OMA quantification were established through a comparative analysis with NUREG-1852 criteria and the review of the existing literature. The OMA quantification approach involves a timeline that considers the occurrence of Multiple Spurious Operations (MSOs) during a Main Control Room Abandonment (MCRA) determination and movement towards the Remote Shutdown Panel (RSP) in the event of a Main Control Room (MCR) fire. The derived failure probability of an OMA from the approach proposed in this paper is expected to enhance the understanding of its reliability. Therefore, it allows moving beyond the deterministic classification of "reliable" or "unreliable" in NUREG-1852. Also, in the event of a nuclear power plant fire where multiple OMAs are required within a critical time range, it is anticipated that the OMA failure probability could serve as a criterion for prioritizing OMAs and determining their order of importance.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government, Ministry of Science and ICT. (Grant Code: RS-2022-00144204).

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