Methodology for updating GO-FLOW model to handle scenario changes in nuclear power plants

Autor: Dai Xinyu, Yang Ming, Wang Jipu, Xu Zhihui, Wen Hanguan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Energy Research, Vol 10 (2023)
Druh dokumentu: article
ISSN: 2296-598X
DOI: 10.3389/fenrg.2022.1034835
Popis: The design of a nuclear power plant is proved to be safe enough in various hypothetical operation scenarios after strict safety assessment. One of the important tasks of operational risk management in a nuclear power plant is to evaluate whether any configuration change of the nuclear power plant can still achieve its expected safety and economic goals. This paper proposes a system reliability modeling and analysis method based on two-layers hierarchical GO-FLOW model. By flexibly adjusting the parameters of a GO-FLOW model, the model can adapt to the changes of success criteria and various configuration of the modeled system, thus avoiding the extra workload brought by re-modeling and improving the efficiency of risk management in nuclear power plants.
Databáze: Directory of Open Access Journals