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http://dx.doi.org/10.1016/j.net.2021.04.016

Study of combinations of site operating states for multi-unit PSA  

Yoo, Heejong (Kyung Hee University)
Jin, Kyungho (Kyung Hee University)
Heo, Gyunyoung (Kyung Hee University)
Publication Information
Nuclear Engineering and Technology / v.53, no.10, 2021 , pp. 3247-3255 More about this Journal
Abstract
As Probabilistic Safety Assessments (PSAs) are thoroughly conducted for the Site Operating States (SOSs) for a single unit, multi-unit Probabilistic Safety Assessments (MUPSAs) are ongoing worldwide to address new technical challenges or issues. In South Korea, the determination of the site operating states for a single site requires a logical approach with reasonable assumptions due to the fact that there are 4-8 operating units for each site. This paper suggests a simulation model that gives a reasonable expectation of the site operation states using the Monte-Carlo method as a stochastic approach and deterministic aspects such as operational policies. Statistical hypothesis tests were conducted so that the reliance of the simulation results can be guaranteed. In this study, 7 units of the Kori site were analysed as a case study. The result shows that the fraction of full power for all 7 units is nearly 0.45. For situations when more than two units are not in operation, the highest fraction combination was obtained for Plant Operation State (POS) 8, which is the stage of inspection and repairment. By entering various site operation scenarios, the simulation model can be used for the analysis of other site operation states.
Keywords
Multi-unit PSA; Monte-carlo method; Plant operating state; Site operating state; Hypothesis test;
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