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An extended BEPU approach integrating probabilistic assumptions on the availability of safety systems in deterministic safety analyses

Authors :
Martorell Alsina, Sebastián Salvador
Sánchez Sáez, Francisco
Villanueva López, José Felipe
Carlos Alberola, Sofía
Source :
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

[EN] The International Atomic Energy Agency (IAEA) produced guidance on the use of Deterministic Safety Analysis (DSA) for the design and licensing of Nuclear Power Plants (NPPs) in "DSA for NPP Specific Safety Guide, No. SSG-2", which proposes four options for the application of DSA. Option 3 involves the use of Best Estimate codes and data together with an evaluation of the uncertainties, the so called BEPU methodology. Several BEPU approaches have been developed in scopes that are accepted by the regulator authorities nowadays. They normally adopt conservative assumptions on the availability of safety systems. Option 4 goes beyond by pursuing the incorporation of realistic assumption on the availability of safety systems into the DSA. This paper proposes an Extended BEPU (EBEPU) approach that integrates insights from probabilistic Safety Analysis into a typical BEPU approach. There is an aim at combining the use of well-established BEPU methods and realistic ("probabilistic") assumptions on safety system availability. This paper presents the fundamentals of the EBEPU approach and the main results obtained for an example of application that focuses on an accident scenario corresponding to the initiating event "Loss of Feed Water (LOFW)" for a typical three-loops Pressurized Water Reactor (PWR) NPP.<br />This work has been developed partially with the support of Programa de Apoyo a la Investigacion y Desarrollo of the Universitat Politecnica de Valencia (PAID UPV).

Details

ISSN :
09518320
Volume :
167
Database :
OpenAIRE
Journal :
Reliability Engineering & System Safety
Accession number :
edsair.doi.dedup.....8f131333be045f107aa5a4f01491c9b9
Full Text :
https://doi.org/10.1016/j.ress.2017.06.020