Show simple item record

dc.creatorIzquierdo, Juanes
dc.creatorCrespo Márquez, Adolfoes
dc.creatorUribetxebarria, Jonees
dc.creatorErguido, Asieres
dc.date.accessioned2019-09-03T16:22:13Z
dc.date.available2019-09-03T16:22:13Z
dc.date.issued2019-05
dc.identifier.citationIzquierdo, J., Crespo Márquez, A., Uribetxebarria, J. y Erguido, A. (2019). Framework for Managing Maintenance ofWind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance. Energies, 12 (11). Article number 2036.
dc.identifier.issn1996-1073es
dc.identifier.urihttps://hdl.handle.net/11441/88928
dc.description.abstractThe growth in the wind energy sector is demanding projects in which profitability must be ensured. To fulfil such aim, the levelized cost of energy should be reduced, and this can be done by enhancing the Operational Expenditure through excellence in Operations & Maintenance. There is a considerable amount of work in the literature that deals with several aspects regarding the maintenance of wind farms. Among the related works, several focus on describing the reliability of wind turbines and many set the spotlight on defining the optimal maintenance strategy. It is in this context where the presented work intends to contribute. In the paper a technical framework is proposed that considers the data and information requisites, integrated in a novel approach a clustering-based reliability model with a dynamic opportunistic maintenance policy. The technical framework is validated through a case study in which simulation mechanisms allow the implementation of amulti-objective optimization of themaintenance strategy for the lifecycle of awind farm. The proposed approach is presented under a comprehensive perspective which enables the discovery an optimal trade-off among competing objectives in the Operations & Maintenance of wind energy projects.es
dc.description.sponsorshipDepartamento de Desarrollo Económico e Infraestructuras del Gobierno Vasco EmaitekPlus 2018-2019es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofEnergies, 12 (11). Article number 2036.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMaintenance managementes
dc.subjectWind turbineses
dc.subjectClusteringes
dc.subjectReliabilityes
dc.subjectDynamic opportunistic maintenancees
dc.subjectSimulationes
dc.titleFramework for Managing Maintenance ofWind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenancees
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas Ies
dc.relation.projectIDEmaitekPlus 2018-2019es
dc.relation.publisherversionhttps://doi.org/10.3390/en12112036es
dc.identifier.doi10.3390/en12112036es
idus.format.extent17 p.es
dc.journaltitleEnergieses
dc.publication.volumen12es
dc.publication.issue11es
dc.publication.initialPageArticle number 2036es

FilesSizeFormatViewDescription
Framework for Managing Maintenance ...2.915MbIcon   [PDF] View/Open  

This item appears in the following collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional