Human reliability analysis of shared equipment in multi-unit site

ABSTRACT

Currently, there is no mature method for calculating the probability of human failure that occurs in multi-unit. In this study, the single-unit HRA is expanded and improved, and we have compiled a method flow suitable for human reliability analysis in multi-unit. This method considers the communication of commands between different organizations and analyzes the equipment shared by multiple units. This research demonstrates the feasibility of the THERP+HCR method to calculate the human-caused failure probability of multiple units. In this paper, the human failure probability of the fifth emergency diesel engine is investigated during a station blackout at a multi-unit site. The calculated failure probability of personnel deploying a fifth diesel-engine between two units is 0.1061, which is higher than the failure probability of a single unit, and the consequences of failure of a dual-unit invocation would be more severe. Due to the uncertainty of some conditions and parameters, the variation of the failure probability after sensitivity analysis ranges from–0.0846–0.2083. Involvement of more organizations during the accident increases the risk of the plant site. Among the most influential factors on the probability of failure are the presence of inspection clauses in the operating procedures and the level of tension of personnel.

KEYWORDS:

• Human reliability analysis
• multi-unit site
• shared equipment
• THERP+HCR

Acknowledgments

This work was supported by the China Nuclear Engineering Co., Ltd.

Disclosure statement

All authors disclosed no relevant relationships.

Author contributions

Conceptualization and methodology, W.F. and Y.Y.; formal analysis, M.W and J.K; investigation, Z.X and L.W, Original Draft, Z.L, All authors have read and agreed to the published version of the manuscript.

Data availability statement

Data is available on request from the authors.

Additional information

Funding

This research was funded by State Key Laboratory of Nuclear Power Monitoring Technology and Equipment and grant number [2020.421]