Framework to model severe accident management guidelines into Level 2 probabilistic safety assessment of a nuclear power plant

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.

Automated summary

Modeling severe accident management guidelines (SAMG) into Level 2 probabilistic safety assessment (PSA) is crucial for realistically quantifying the safety of nuclear power plants (NPPs) and the effectiveness of SAMG. The inclusion of SAMG in the Level 2 PSA model led to a significant increase in the conditional containment intact probability and a considerable decrease in NPP risk, as demonstrated in the application to the OPR-1000 plant.