Verification of Safety Classification with PSA Insights

Yang, Benlin; Zhu, Rongya; Hu, Lingsheng; Zheng, Junming; Zhao, Guanghui; Gong, Yihong

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https://hdl.handle.net/2142/121841 Copy

Description

Title

Verification of Safety Classification with PSA Insights

Author(s)

• Yang, Benlin
• Zhu, Rongya
• Hu, Lingsheng
• Zheng, Junming
• Zhao, Guanghui
• Gong, Yihong

Issue Date

2023

Keyword(s)

• Safety classification
• verification
• PSA
• FC importance
• RAW importance

Abstract

Probabilistic Safety Assessment (PSA) insights according to nuclear power plant (NPP) risk importance distribution profiles are used as a complementary way of deterministic safety analysis in verifying the adequacy of the safety classification. Fractional Contribution (FC) importance measure and Risk Achievement Worth (RAW) importance measure are chosen as two key indexes to show the full scope of NPPs risk profiles. It is expected that the equipment ranked with high safety class would be in the risk importance distribution areas with high FC importance or high RAW importance, while the equipment ranked with low safety class would be in the risk importance distribution areas with low FC importance and low RAW importance. The components whose safety classification do not match with the risk importance distribution are identified for further assessment to understand the reasons for it. Some case studies are performed on HPR1000 (China pressurized water reactor in Generation-III) to show the process of this safety classification verification method, and also to show whether the HPR1000 safety classification match with its PSA results or not. The result shows that the majority of HPR1000 components safety classification match with their risk importance distribution, which provides the confidence that the HPR1000 safety classification is mainly correct and adequate. There are still some exceptions, so two typical systems are selected for further discussion to provide detail insights about the reasons for it, and some recommendations for the safety classification are then given.

Type of Resource

text

Language

eng

Handle URL

https://hdl.handle.net/2142/121841

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