Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, M.C. | - |
dc.date.accessioned | 2021-11-19T02:40:05Z | - |
dc.date.available | 2021-11-19T02:40:05Z | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0951-8320 | - |
dc.identifier.issn | 1879-0836 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51637 | - |
dc.description.abstract | Station blackout (SBO), a total loss of alternating current (AC) power, is considered to contribute significantly to nuclear power plant risk. The analysis of SBO risk is complicated due to time-dependent interactions among events. Simplifying assumptions that are currently used extensively in probabilistic safety assessment may lead to an overly conservative estimation of SBO risk, which may distort the overall plant risk profile and the associated accident management strategy. To calculate more accurate SBO risk, this study first identified SBO sequences and the associated time-dependent interactions by differentiating fail-to-start and fail-to-run failures of alternative AC power source and turbine-driven pumps. Mathematical formulas were developed to calculate the conditional core damage probabilities corresponding to the identified SBO sequences. These mathematical formulas were verified via a Monte Carlo simulation. This study is expected to contribute to the development of an integrated framework for SBO risk analysis that includes all possible SBO sequences, related events, and their time-dependent interactions. © 2021 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Elsevier Ltd | - |
dc.title | Systematic approach and mathematical development for conditional core damage probabilities under station blackout of a nuclear power plant | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.ress.2021.107969 | - |
dc.identifier.bibliographicCitation | Reliability Engineering and System Safety, v.217 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000708365800001 | - |
dc.identifier.scopusid | 2-s2.0-85116536193 | - |
dc.citation.title | Reliability Engineering and System Safety | - |
dc.citation.volume | 217 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | Emergency diesel generator | - |
dc.subject.keywordAuthor | Loss of offsite power | - |
dc.subject.keywordAuthor | Mathematical development | - |
dc.subject.keywordAuthor | Monte Carlo simulation | - |
dc.subject.keywordAuthor | Probabilistic safety assessment | - |
dc.subject.keywordAuthor | Station blackout | - |
dc.subject.keywordPlus | Damage detection | - |
dc.subject.keywordPlus | Diesel engines | - |
dc.subject.keywordPlus | Electric impedance measurement | - |
dc.subject.keywordPlus | Intelligent systems | - |
dc.subject.keywordPlus | Nuclear energy | - |
dc.subject.keywordPlus | Nuclear fuels | - |
dc.subject.keywordPlus | Nuclear power plants | - |
dc.subject.keywordPlus | Outages | - |
dc.subject.keywordPlus | Risk analysis | - |
dc.subject.keywordPlus | Risk assessment | - |
dc.subject.keywordPlus | Risk perception | - |
dc.subject.keywordPlus | Core damage probabilities | - |
dc.subject.keywordPlus | Diesel generators | - |
dc.subject.keywordPlus | Emergency diesel generator | - |
dc.subject.keywordPlus | Loss of offsite power | - |
dc.subject.keywordPlus | Mathematical development | - |
dc.subject.keywordPlus | Monte Carlo's simulation | - |
dc.subject.keywordPlus | Offsite power | - |
dc.subject.keywordPlus | Probabilistic safety assessment | - |
dc.subject.keywordPlus | Station blackout | - |
dc.subject.keywordPlus | Time-dependent interaction | - |
dc.subject.keywordPlus | Monte Carlo methods | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.