Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant

BackgroundThe startup time and startup-failure are widespread in most cold redundancy equipment of nuclear power plants (NPPs). The traditional static and dynamic fault tree cannot accurately model the startup time and startup-failure.PurposeThis study aims to model the startup time and startup-fail...

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Main Authors: WANG Shaoxuan, LIN Zhixian, GE Daochuan, WU Jie, YU Jie
Format: Article
Language:zho
Published: Science Press 2022-12-01
Series:He jishu
Subjects:
Online Access:https://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2022.hjs.45.120604&lang=zh
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author WANG Shaoxuan
LIN Zhixian
GE Daochuan
WU Jie
YU Jie
author_facet WANG Shaoxuan
LIN Zhixian
GE Daochuan
WU Jie
YU Jie
author_sort WANG Shaoxuan
collection DOAJ
description BackgroundThe startup time and startup-failure are widespread in most cold redundancy equipment of nuclear power plants (NPPs). The traditional static and dynamic fault tree cannot accurately model the startup time and startup-failure.PurposeThis study aims to model the startup time and startup-failure behaviors in cold redundancy systems, and provide suggestions for the improvement of reliability assessment methods.MethodsFirst, a DFT Monte Carlo simulation method was proposed for modeling and analyzing equipment's startup time and startup-failure behaviors in a cold redundancy system. Then, the emergency diesel generator set of the nuclear power plant was taken as an example, the distribution curve of system failure probability and the sensitivity of each component were obtained. Finally, the results were compared with the static fault tree method and traditional DFT method.Results1) The proposed method can model and analyze the start-up time and start-up failure behaviors of cold redundant equipment, reflecting the real failure scenarios and actual operation status of cold redundant systems. 2) The proposed method can accurately evaluate the system failure probability, identify highly sensitive equipment parameters in different time periods, and analyze the influence of start-up time on the system failure probability.ConclusionsThe proposed method has certain theoretical significance for the optimal design of NPP's cold redundancy systems.
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spelling doaj.art-8d38e48eecac4330b86dba1ffce9e1792023-02-08T01:05:18ZzhoScience PressHe jishu0253-32192022-12-01451212060412060410.11889/j.0253-3219.2022.hjs.45.1206040253-3219(2022)12-0083-10Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plantWANG Shaoxuan0LIN Zhixian1GE Daochuan2WU Jie3YU Jie4Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaInstitute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaInstitute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaInstitute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaInstitute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaBackgroundThe startup time and startup-failure are widespread in most cold redundancy equipment of nuclear power plants (NPPs). The traditional static and dynamic fault tree cannot accurately model the startup time and startup-failure.PurposeThis study aims to model the startup time and startup-failure behaviors in cold redundancy systems, and provide suggestions for the improvement of reliability assessment methods.MethodsFirst, a DFT Monte Carlo simulation method was proposed for modeling and analyzing equipment's startup time and startup-failure behaviors in a cold redundancy system. Then, the emergency diesel generator set of the nuclear power plant was taken as an example, the distribution curve of system failure probability and the sensitivity of each component were obtained. Finally, the results were compared with the static fault tree method and traditional DFT method.Results1) The proposed method can model and analyze the start-up time and start-up failure behaviors of cold redundant equipment, reflecting the real failure scenarios and actual operation status of cold redundant systems. 2) The proposed method can accurately evaluate the system failure probability, identify highly sensitive equipment parameters in different time periods, and analyze the influence of start-up time on the system failure probability.ConclusionsThe proposed method has certain theoretical significance for the optimal design of NPP's cold redundancy systems.https://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2022.hjs.45.120604&lang=zhstartup failuredynamic fault treenuclear power plantcold redundancyreliability
spellingShingle WANG Shaoxuan
LIN Zhixian
GE Daochuan
WU Jie
YU Jie
Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
He jishu
startup failure
dynamic fault tree
nuclear power plant
cold redundancy
reliability
title Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
title_full Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
title_fullStr Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
title_full_unstemmed Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
title_short Reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
title_sort reliability numerical simulation for startup time and startup failure of cold redundancy system in nuclear power plant
topic startup failure
dynamic fault tree
nuclear power plant
cold redundancy
reliability
url https://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2022.hjs.45.120604&lang=zh
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AT linzhixian reliabilitynumericalsimulationforstartuptimeandstartupfailureofcoldredundancysysteminnuclearpowerplant
AT gedaochuan reliabilitynumericalsimulationforstartuptimeandstartupfailureofcoldredundancysysteminnuclearpowerplant
AT wujie reliabilitynumericalsimulationforstartuptimeandstartupfailureofcoldredundancysysteminnuclearpowerplant
AT yujie reliabilitynumericalsimulationforstartuptimeandstartupfailureofcoldredundancysysteminnuclearpowerplant