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dc.creatorErguido, Asieres
dc.creatorCrespo Márquez, Adolfoes
dc.creatorCastellano, Eduardoes
dc.creatorGómez Fernández, Juan Franciscoes
dc.date.accessioned2019-02-27T13:34:01Z
dc.date.available2019-02-27T13:34:01Z
dc.date.issued2017
dc.identifier.citationErguido, A., Crespo Márquez, A., Castellano, E. y Gómez Fernández, J.F. (2017). A dynamic opportunistic maintenance model to maximize energy-based availability while reducing the life cycle cost of wind farms. Renewable Energy, 114, Part B (December 2017), 843-856.
dc.identifier.issn0960-1481es
dc.identifier.urihttps://hdl.handle.net/11441/83582
dc.description.abstractOperations and maintenance costs of the wind power generation systems can be reduced through the implementation of opportunistic maintenance policies at suitable indenture and maintenance levels. These maintenance policies take advantage of the economic dependence among the wind turbines and their systems, performing preventive maintenance tasks in running systems when some other maintenance tasks have to be undertaken in the wind farm. The existing opportunistic maintenance models for the wind energy sector follow a static decision making process, regardless of the operational and environmental context. At the same time, on some occasions policies do not refer to practical indenture and maintenance levels. In this paper, a maintenance policy based on variable reliability thresholds is presented. This dynamic nature of the reliability thresholds, which vary according to the weather conditions, provides flexibility to the decision making process. Within the presented model, multi-level maintenance, capacity constraints and multiple failure modes per system have been considered. A comparative study, based on real operation, maintenance and weather data, demonstrates that the dynamic opportunistic maintenance policy significantly outperforms traditional corrective and static opportunistic maintenance strategies, both in terms of the overall wind farm energy production and the Life Cycle Cost.es
dc.description.sponsorshipUnión Europea H2020-MSCA-RISE-2014 645733es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofRenewable Energy, 114, Part B (December 2017), 843-856.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectOpportunistic maintenance modeles
dc.subjectDynamic reliability thresholdses
dc.subjectLife cycle costes
dc.subjectWind energyes
dc.subjectWeather conditionses
dc.titleA dynamic opportunistic maintenance model to maximize energy-based availability while reducing the life cycle cost of wind farmses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas Ies
dc.relation.projectIDH2020-MSCA-RISE-2014 645733es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0960148117306304es
dc.identifier.doi10.1016/j.renene.2017.07.017es
dc.contributor.groupUniversidad de Sevilla.TEP134: Organizacion Industriales
idus.format.extent14es
dc.journaltitleRenewable Energyes
dc.publication.volumen114, Part Bes
dc.publication.issueDecember 2017es
dc.publication.initialPage843es
dc.publication.endPage856es
dc.contributor.funderEuropean Union (UE). H2020

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