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Framework to model severe accident management guidelines into Level 2 probabilistic safety assessment of a nuclear power plant
- Cho, J.;
- Lee, S.H.;
- Kim, J.;
- Park, S.K.
SCOPUS
22초록
Severe accident management guidelines (SAMG) play a significant role in mitigating severe accidents in nuclear power plants (NPPs), and thus the modeling of SAMG into Level 2 probabilistic safety assessment (PSA) has become essential to more realistically quantify the safety of NPPs and the effectiveness of SAMG. This study developed a systematic framework to model SAMG into Level 2 PSA, in which SAMG event trees and fault trees are modeled to formulate SAMG in a probabilistic manner. Application results to the internal events of a real plant, the OPR-1000, showed that the inclusion of SAMG in the Level 2 PSA model led to not only a significant increase in the conditional containment intact probability, from 37 to 70%, but also a considerable decrease in NPP risk, namely by 44% compared to the case without SAMG. The method can be used for the estimation of the effectiveness of each mitigation strategy, as well as for the identification of the risk-significant factors regarding SAMG.
키워드
- 제목
- Framework to model severe accident management guidelines into Level 2 probabilistic safety assessment of a nuclear power plant
- 저자
- Cho, J.; Lee, S.H.; Kim, J.; Park, S.K.
- 발행일
- 2022-01
- 유형
- Article
- 권
- 217