A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators

Jooyoung Park, Ronald L. Boring, Thomas A. Ulrich, Roger Lew, Sungheon Lee, Bumjun Park and Jonghyun Kim

Reliability Engineering and System Safety, 2022, vol. 221, issue C

Abstract: Data scarcity in human reliability analysis (HRA) has been a major challenge in the quantification process. Many institutes have collected HRA data through experiments using full-scope simulators with actual operators. Nevertheless, there are still some limitations to relying solely on full-scope studies. This paper aims to propose how full-scope data collection studies can be supported through the Simplified Human Error Experimental Program (SHEEP). The SHEEP framework was developed by Idaho National Laboratory (INL) to collect HRA data through a simplified simulator and student operators. This paper introduces the major tasks in the SHEEP framework, with a particular focus on differences that arise due to participant type (i.e., student vs. actual operator), based on experiments using a simplified simulator (i.e., the Rancor Microworld). This paper also describes whether the data collected via this approach could support a representative full-scope data collection study (i.e., the HuREX study) based on the experimental data.

Keywords: Probabilistic safety assessment; Human reliability analysis; Human performance; Data collection; Simulator study; Simplified simulator; Rancor microworld, Main control room; Nuclear power plant; Simplified human error experimental program (SHEEP) (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:221:y:2022:i:c:s0951832022000084

DOI: 10.1016/j.ress.2022.108326

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