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A systematic framework to investigate the coverage of abnormal operating procedures in nuclear power plants

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  • Park, Jinkyun
  • Jung, Wondea

Abstract

It is evident that the reliability of complex socio-technical systems, such as NPPs (nuclear power plants), is very critical for public safety. For this reason, the DID (defense-in-depth) concept has been adopted as a core principle to ensure the operational safety of NPPs. Regarding this, the provisioning of AOPs (abnormal operating procedures) is essential for implementing the DID concept. Unfortunately, since most AOPs were developed based on operational experience, it is not easy to investigate their coverage in a systematic manner. Therefore, in this study, a framework to identify the coverage of AOPs is proposed based on a SPV (single point vulnerability) model. As for the initial validation of the suggested framework, the coverage of OPR1000 (optimized power reactor 1000MWe) units operating in the Rep. of Korea is analyzed. As a result, it is revealed that their coverage is about 63%. In addition, it is confirmed that one of the component failures distinguished from the proposed framework actually triggered an unexpected reactor trip event in an OPR1000 unit. Therefore, it is possible to expect that the proposed framework can be used as a practical tool to enhance the coverage of AOPs.

Suggested Citation

  • Park, Jinkyun & Jung, Wondea, 2015. "A systematic framework to investigate the coverage of abnormal operating procedures in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 21-30.
    • Handle: RePEc:eee:reensy:v:138:y:2015:i:c:p:21-30
    DOI: 10.1016/j.ress.2015.01.013
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    References listed on IDEAS

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    1. Vaurio, Jussi K., 2011. "Importance measures in risk-informed decision making: Ranking, optimisation and configuration control," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1426-1436.
    2. Saleh, J.H. & Marais, K.B. & Bakolas, E. & Cowlagi, R.V., 2010. "Highlights from the literature on accident causation and system safety: Review of major ideas, recent contributions, and challenges," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1105-1116.
    3. Jung, Woo Sik & Yang, Joon-Eon & Ha, Jaejoo, 2005. "Development of measures to estimate truncation error in fault tree analysis," Reliability Engineering and System Safety, Elsevier, vol. 90(1), pages 30-36.
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    Cited by:

    1. Ding, Rui & Liu, Zehua & Xu, Jintao & Meng, Fanpeng & Sui, Yang & Men, Xinhong, 2021. "A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Park, Jinkyun & Kim, Yochan & Jung, Wondea, 2018. "Calculating nominal human error probabilities from the operation experience of domestic nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 215-225.
    3. Ham, Dong-Han & Park, Jinkyun, 2020. "Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept," Reliability Engineering and System Safety, Elsevier, vol. 194(C).

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