Reliability of passive residual heat removal system based on PSA
- 1. College of Nuclear Science and Technology, Naval University of Engineering, Wuhan (China)
- 2. Nuclear Power Institute of China, Chengdu (China)
Description
Currently the equipment reliability has been studied when the probabilistic safety assessment (PSA) of advanced nuclear reactor is used to analyze the reliability of the passive system. However, the physical reliability has not yet been considered in PSA. On the other hand, the study of equipment reliability has been focused on all the start-up equipment rather than on the equipment in operation when the equipment reliability and physical reliability are discussed in a holistic fashion. In view of the aforementioned issues, this paper analyzed the equipment reliability sensitivity of the system based on the AP1000 passive residual heat removal system (PRHRS) subjected to the loss of normal feedwater supply. The system reliability is integrated into PSA model by self-developed synthesis method, which takes into account the demand failure of active equipment and the operation failure of passive equipment, and analyzes the sensitivity of system equipment reliability. The results show that the spectrum of the accident sequence obtained by the comprehensive method is more real and comprehensive when it is used to analyze the reliability of PRHRS, which is superior to the traditional method. (authors)
Additional details
Identifiers
Publishing Information
- Journal Title
- Nuclear Power Engineering
- Journal Volume
- 41
- Journal Issue
- 4
- Journal Page Range
- p. 122-127
- ISSN
- 0258-0926
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 55086459
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Descriptors DEI
- PROBABILISTIC ESTIMATION; RELIABILITY; RHR SYSTEMS; RISK ASSESSMENT; SENSITIVITY
- Descriptors DEC
- CALCULATION METHODS; COOLING SYSTEMS; ENERGY SYSTEMS; REACTOR COMPONENTS; REACTOR COOLING SYSTEMS
Optional Information
- Notes
- 7 figs., 7 tabs., 17 refs.; http://dx.doi.org/10.13832/j.jnpe.2020.04.0122