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A petri net methodology for modeling the resilience of nuclear power plants
conference contribution
posted on 2021-10-05, 10:44 authored by Rundong (Derek) Yan, Sarah DunnettSarah Dunnett, Silvia Tolo, John AndrewsIn the paper, a novel Petri Net (PN) method for assessing the resilience of nuclear reactors is presented. The PN model constructed aims
to simulate the failure of the subsystems in a reactor caused by either natural degradation or external disruptive events such as tsunamis
and earthquakes, the resultant accidents due to the failure of different reactor subsystems, the responses of the reactor to different accidents,
and the recovery and maintenance of the reactor after the accident. The simulation results are analyzed to identify the key characteristics
of the resilience of the nuclear reactor. To demonstrate the feasibility and the capability of the proposed approach, the failure of four heat
transport pumps in the primary cooling system of an experimental reactor is chosen as a case study. The research shows that PN modeling
is an effective tool for evaluating the resilience of nuclear power plants.
Funding
A Resilience Modelling Framework for Improved Nuclear Safety (NuRes)
Engineering and Physical Sciences Research Council
Find out more...History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)Pages
2426-2432Source
31st European Safety and Reliability Conference (ESREL 2021)Publisher
Research Publishing ServicesVersion
- VoR (Version of Record)
Rights holder
© European Safety and Reliability AssociationPublisher statement
Reproduced with permission of the authorPublication date
2021-09-30Copyright date
2021ISBN
9789811820168Publisher version
Language
- en
Editor(s)
Bruno Castanier; Marko Cepin; David Bigaud; Christophe BerenguerLocation
Angers, FranceEvent dates
19th September 2021 - 23rd September 2021Depositor
Dr Derek Yan . Deposit date: 5 October 2021Usage metrics
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