Exhaustive simulation approach for severe accident risk in nuclear power plants: OPR-1000 full-power internal events

  • Cho, Jaehyun
  • Lee, Sang Hun
  • Bang, Young Suk
  • Lee, Suwon
  • Park, Soo Yong
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초록

The estimation of severe accident risks in nuclear power plants (NPPs) is significant to confirm the safety level of NPPs and to reinforce their vulnerable points. Severe accident risks can be quantified by Level 2 probabilistic safety assessment (PSA), which traditionally applies a grouping feature to handle the tremendous numbers of accident scenarios. Accordingly, risk information is likely to be lost in the process of grouping similar scenarios and in the treatment of many scenarios with one representative scenario. To obtain more comprehensive risk information including source term behaviors and plant responses during severe accidents, this study suggests an exhaustive simulation approach with new software that helps to automatically generate a large number of input data for an accident simulation code, and performs an application study using PSA models from OPR-1000 fullpower internal events. Only a three-day run time was required to simulate all the severe accident scenarios, totaling 690 scenarios, using a commercial computer. The application study revealed that the conventional grouping approach can either underestimate or overestimate overall NPP risk depending on the selection of the representative scenario.

키워드

Exhaustive simulationLevel 2 PSALERFCs-137Severe accident scenariosContainment event treeOPR-1000MAAP5
제목
Exhaustive simulation approach for severe accident risk in nuclear power plants: OPR-1000 full-power internal events
저자
Cho, JaehyunLee, Sang HunBang, Young SukLee, SuwonPark, Soo Yong
DOI
10.1016/j.ress.2022.108580
발행일
2022-09
유형
Article
저널명
Reliability Engineering and System Safety
225

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