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Evaluation of risk impact of Completion Time changes combining PSA and DSA model insight and human reliability analysis

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Evaluation of risk impact of Completion Time changes combining PSA and DSA model insight and human reliability analysis

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dc.contributor.author Martorell-Aygues, Pablo es_ES
dc.contributor.author Marton Lluch, Isabel es_ES
dc.contributor.author Sánchez Galdón, Ana Isabel es_ES
dc.contributor.author Martorell Alsina, Sebastián Salvador es_ES
dc.contributor.author Sanchez Saez, Francisco es_ES
dc.contributor.author Saiz-Córdoba, Matilde es_ES
dc.date.accessioned 2019-06-07T20:05:18Z
dc.date.available 2019-06-07T20:05:18Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0951-8320 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121770
dc.description.abstract [EN] Although in risk screening of equipment structures, systems and components, changes can be accomplished directly using RG 1.174, a plant change may also include changes to human actions. Human reliability analysis is an integral part of probabilistic safety assessment modeling. Using best estimate codes can identify unknown accident sequences as well as quantify more realistic probabilities of human error. This paper proposes a three-step approach to evaluate the risk impact of changes to completion time within nuclear power plant technical specifications, using a probabilistic safety assessment model refined by a best-estimate safety analysis and human reliability analysis. A case study is presented focusing on a completion time change of the residual heat removal system of a nuclear power plant using a level 1 low power and shutdown probabilistic safety assessment. Thus, the application case shows that the change could be accepted from a risk viewpoint, in particular, because of the risk increase imposed by extending the completion time is partially compensated by the risk decrease due to the human error probability reduction since the stress level is reduced. es_ES
dc.description.sponsorship The authors are grateful to the Spanish Ministry of Science and Innovation for the financial support received (Research Projects ENE2013-45540-R and ENE2016-80401-R) and the doctoral scholarship awarded (BES-2014-067602). The study also received financial support from the Spanish Research Agency and the European Regional Development Fund. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Reliability Engineering & System Safety es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification INGENIERIA NUCLEAR es_ES
dc.title Evaluation of risk impact of Completion Time changes combining PSA and DSA model insight and human reliability analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ress.2018.05.008 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//ENE2013-45540-R/ES/DESARROLLO DE REQUISITOS DE VIGILANCIA AVANZADOS ENFOCADOS A LA SEGURIDAD Y COMPETITIVIDAD DE LA OPERACION A LARGO PLAZO DE CENTRALES NUCLEARES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//ENE2016-80401-R/ES/ARMONIZACION DE REQUISITOS DE VIGILANCIA Y MANTENIMIENTO EN CENTRALES NUCLEARES CON INFORMACION EN EL RIESGO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BES-2014-067602/ES/BES-2014-067602/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Martorell-Aygues, P.; Marton Lluch, I.; Sánchez Galdón, AI.; Martorell Alsina, SS.; Sanchez Saez, F.; Saiz-Córdoba, M. (2018). Evaluation of risk impact of Completion Time changes combining PSA and DSA model insight and human reliability analysis. Reliability Engineering & System Safety. 178:97-107. https://doi.org/10.1016/j.ress.2018.05.008 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ress.2018.05.008 es_ES
dc.description.upvformatpinicio 97 es_ES
dc.description.upvformatpfin 107 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 178 es_ES
dc.relation.pasarela S\362621 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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