4.7 Article

Identification of Risk-Significant Components in Nuclear Power Plants to Reduce Cs-137 Radioactive Risk

Journal

RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 211, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2021.107613

Keywords

Probabilistic safety assessment; Minimal cut set; Basic event; Risk importance measure; Fussell-Vesely; Risk achievement worth; Cs-137

Funding

  1. National Research Foundation of Korea (NRF) - Korean government (MSIT: Ministry of Science and ICT) [2017M2A8A4015287]

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This study introduces a new method to identify significant structures, systems, and components in nuclear accidents by quantifying risk importance measures using release frequency and Cs-137 radioactivity. The approach can support risk-informed management and provide crucial safety assessment information.
The amount and frequency of Cs-137 release in a nuclear accident are regulated to enhance environmental radiation protection. While significant improvements have been accomplished, including the preparation of severe accident mitigation equipment and systems to satisfy Cs-137 regulations, no attempt has yet been made along these lines to manage the structures, systems and components (SSCs) in nuclear power plants. Therefore, this paper proposes a new approach to identify the significant SSCs by quantifying related risk importance measures using release frequency and Cs-137 radioactivity. The new approach includes a Level 1 and Level 2 probabilistic safety assessment (PSA) linked model to obtain the frequency and Cs-137 radioactivity in all accident scenarios. The developed approach was applied to an OPR-1000 full-power internal events PSA model, and as a result, the top 20 SSCs were identified based on Fussell-Vesely importance, risk reduction worth, and risk achievement worth measures. The new approach can support risk-informed management for not only Cs-137 regulations but also public risk by using early and latent cancer fatalities.

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