Co-simulation for real time safety verification of nuclear power plants

Small and major accidents and near misses are still occurring in nuclear power plants (NPPs). Risk level has increased with the degradation of NPP equipment and instrumentation. In order to achieve NPP safety, it is important to continuously evaluate risk for all potential hazard and fault propagati...

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Autores principales: Emmanuel BOAFO, Elnara NASIMI, Luping ZHANG, Hossam A. GABBAR
Formato: article
Lenguaje:EN
Publicado: The Japan Society of Mechanical Engineers 2017
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Acceso en línea:https://doaj.org/article/a64c399b48624a859a6252e9ac509e0d
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spelling oai:doaj.org-article:a64c399b48624a859a6252e9ac509e0d2021-11-26T07:02:13ZCo-simulation for real time safety verification of nuclear power plants2187-974510.1299/mej.15-00532https://doaj.org/article/a64c399b48624a859a6252e9ac509e0d2017-03-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/4/2/4_15-00532/_pdf/-char/enhttps://doaj.org/toc/2187-9745Small and major accidents and near misses are still occurring in nuclear power plants (NPPs). Risk level has increased with the degradation of NPP equipment and instrumentation. In order to achieve NPP safety, it is important to continuously evaluate risk for all potential hazard and fault propagation scenarios and map protection layers to fault / failure / hazard propagation scenarios to be able to evaluate and verify safety level during NPP operation. There are major limitations in current real time safety verification tools, as it is mainly offline and with no integration to NPP simulation tools. The main goal of this research is to develop real time safety verification with co-simulation tool to be integrated with plant operation support systems. This includes the development of static and dynamic fault semantic network (FSN) to model possible fault propagation scenarios and the interrelationships among associated process variables. The detailed methodology involves the integration of process models, construction of static FSN with fault propagation scenarios, and evaluation and tuning of dynamic FSN with probabilistic and process variable interaction values. The focus however of the present study is to highlight the need to incorporate error reduction in performing safety verification of NPPs. Two selected case studies were used to demonstrate the proposed methodology; one on a turbine trip and the other on steam generator tube rupture. In the former case, the error reduction concept was shown while the safety verification method was demonstrated in the latter case. The results confirmed the importance of error reduction as well as the need to constantly undertake safety verification of safety critical systems such as a NPP.Emmanuel BOAFOElnara NASIMILuping ZHANGHossam A. GABBARThe Japan Society of Mechanical Engineersarticlefault semantic networksafety verificationnppfault propagationriskMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 4, Iss 2, Pp 15-00532-15-00532 (2017)
institution DOAJ
collection DOAJ
language EN
topic fault semantic network
safety verification
npp
fault propagation
risk
Mechanical engineering and machinery
TJ1-1570
spellingShingle fault semantic network
safety verification
npp
fault propagation
risk
Mechanical engineering and machinery
TJ1-1570
Emmanuel BOAFO
Elnara NASIMI
Luping ZHANG
Hossam A. GABBAR
Co-simulation for real time safety verification of nuclear power plants
description Small and major accidents and near misses are still occurring in nuclear power plants (NPPs). Risk level has increased with the degradation of NPP equipment and instrumentation. In order to achieve NPP safety, it is important to continuously evaluate risk for all potential hazard and fault propagation scenarios and map protection layers to fault / failure / hazard propagation scenarios to be able to evaluate and verify safety level during NPP operation. There are major limitations in current real time safety verification tools, as it is mainly offline and with no integration to NPP simulation tools. The main goal of this research is to develop real time safety verification with co-simulation tool to be integrated with plant operation support systems. This includes the development of static and dynamic fault semantic network (FSN) to model possible fault propagation scenarios and the interrelationships among associated process variables. The detailed methodology involves the integration of process models, construction of static FSN with fault propagation scenarios, and evaluation and tuning of dynamic FSN with probabilistic and process variable interaction values. The focus however of the present study is to highlight the need to incorporate error reduction in performing safety verification of NPPs. Two selected case studies were used to demonstrate the proposed methodology; one on a turbine trip and the other on steam generator tube rupture. In the former case, the error reduction concept was shown while the safety verification method was demonstrated in the latter case. The results confirmed the importance of error reduction as well as the need to constantly undertake safety verification of safety critical systems such as a NPP.
format article
author Emmanuel BOAFO
Elnara NASIMI
Luping ZHANG
Hossam A. GABBAR
author_facet Emmanuel BOAFO
Elnara NASIMI
Luping ZHANG
Hossam A. GABBAR
author_sort Emmanuel BOAFO
title Co-simulation for real time safety verification of nuclear power plants
title_short Co-simulation for real time safety verification of nuclear power plants
title_full Co-simulation for real time safety verification of nuclear power plants
title_fullStr Co-simulation for real time safety verification of nuclear power plants
title_full_unstemmed Co-simulation for real time safety verification of nuclear power plants
title_sort co-simulation for real time safety verification of nuclear power plants
publisher The Japan Society of Mechanical Engineers
publishDate 2017
url https://doaj.org/article/a64c399b48624a859a6252e9ac509e0d
work_keys_str_mv AT emmanuelboafo cosimulationforrealtimesafetyverificationofnuclearpowerplants
AT elnaranasimi cosimulationforrealtimesafetyverificationofnuclearpowerplants
AT lupingzhang cosimulationforrealtimesafetyverificationofnuclearpowerplants
AT hossamagabbar cosimulationforrealtimesafetyverificationofnuclearpowerplants
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