Study on key dynamic parameters of station blackout accident based on RISMC method

The Risk Informed Safety Margin Characterization (RISMC) methodology is based on the coupling of deterministic safety analysis theory and probabilistic safety analysis theory. The accident which may lead to core damage will be researched realistically. The evolution law of the accident, the possibility of occurrence and the consequences are studied. The method aims at studying the influence of thermal parameters and model uncertainty, random failure uncertainty on the accident process of nuclear power plants under different accident scenarios. In this paper, HPR1000 SBO (station blackout) accident is taken as the research object. Based on the theory of RISMC, dynamic characteristics analysis is carried out, the typical scenario of SBO accidents with the failure of auxiliary feed water is selected for analysis. Combined with probabilistic safety analysis, deterministic safety analysis and engineering judgment, the key dynamic characteristic parameters of SBO accidents are analyzed. The research results in this paper can provide support for the typical case RISMC analysis for SBO accident.

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Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.3441
Primary Topic
Risk and Safety Analysis
Type
article
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Study on key dynamic parameters of station blackout accident based on RISMC method

Bin Liu, Jin An, Fangyu Dong, Jingxiang Zhan et al.
IET conference proceedings.
Risk and Safety Analysis
article

Study on key dynamic parameters of station blackout accident based on RISMC method

Bin Liu, Jin An, Fangyu Dong, Jingxiang Zhan, Churan Feng
article en

Abstract

The Risk Informed Safety Margin Characterization (RISMC) methodology is based on the coupling of deterministic safety analysis theory and probabilistic safety analysis theory. The accident which may lead to core damage will be researched realistically. The evolution law of the accident, the possibility of occurrence and the consequences are studied. The method aims at studying the influence of thermal parameters and model uncertainty, random failure uncertainty on the accident process of nuclear power plants under different accident scenarios. In this paper, HPR1000 SBO (station blackout) accident is taken as the research object. Based on the theory of RISMC, dynamic characteristics analysis is carried out, the typical scenario of SBO accidents with the failure of auxiliary feed water is selected for analysis. Combined with probabilistic safety analysis, deterministic safety analysis and engineering judgment, the key dynamic characteristic parameters of SBO accidents are analyzed. The research results in this paper can provide support for the typical case RISMC analysis for SBO accident.

IET conference proceedings.Vol. 2024(12)
Openalex Percentile: Top 99%
Risk and Safety Analysis
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