An integrated framework for analysing operational events in China nuclear power plants
| Autor: | Wei Wang, Marko Čepin, Li Zhang, Yinliang Fei, Enrico Zio, Zou Yanhua, Xiao Zhi, Jiang Jianjun |
|---|---|
| Přispěvatelé: | Hunan Institute of Science and Technology, Laboratoire Vision et Ingénierie des Contenus (LVIC), Département Intelligence Ambiante et Systèmes Interactifs (DIASI), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre de recherche sur les Risques et les Crises (CRC), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Agricultural University of Hebei, Nuclear and Radiation Safety Center, School of Safety and Environment Engineering, University of Ljubljana, Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST), MINES ParisTech - École nationale supérieure des mines de Paris, Faculty of Electrical Engineering, University of Ljubljana |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science 020209 energy Nuclear power plants Control (management) Bayesian network Experience feedback 02 engineering and technology Nuclear power Operational events Root cause analysis Unplanned reactor trip Nuclear Energy and Engineering 01 natural sciences 010305 fluids & plasmas [SPI]Engineering Sciences [physics] Identification (information) Risk analysis (engineering) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering [SHS.GEST-RISQ]Humanities and Social Sciences/domain_shs.gest-risq business |
| Zdroj: | Annals of Nuclear Energy Annals of Nuclear Energy, 2019, 130, pp.192-199. ⟨10.1016/j.anucene.2019.02.042⟩ Annals of Nuclear Energy, Elsevier Masson, 2019, 130, pp.192-199. ⟨10.1016/j.anucene.2019.02.042⟩ |
| ISSN: | 0306-4549 |
| DOI: | 10.1016/j.anucene.2019.02.042⟩ |
| Popis: | International audience; Operational events of nuclear power plants (NPPs) are safety-relevant incidents, which may impair the plant functionality and lead to undesired consequences. Thus, their analysis is important for the safety assessment of NPPs. Although several studies have been conducted on NPPs operational events, there is a lack of an integrated framework that effectively combines qualitative and quantitative analyses of operational events. In this study, a framework for the identification and quantification of root causes of operational events is proposed. The framework includes the root causes identification procedures and an online quantification tool based on Bayesian Network modeling. Thirty-seven unplanned reactor trip (URT) events occurred in Chinese NPPs have been used for the case study and the outcome indicates that this framework can be quite useful: on the one hand, it can support inspection and control of the measures of prevention of operational events and reduction of their occurrences from the perspective of regulatory authorities; on the other hand, it can be embedded within the national nuclear safety administration (NNSA) experience feedback (EF) system as an online support tool for living safety assessment. |
| Databáze: | OpenAIRE |
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