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dc.contributor.authorGutiérrez-Alcoba, Alejandro
dc.contributor.authorGarcía-Fernández, Inmaculada 
dc.contributor.authorOrtega López, Gloria
dc.contributor.authorHendrix, Eligius Maria Theodorus 
dc.date.accessioned2018-12-20T10:01:17Z
dc.date.available2018-12-20T10:01:17Z
dc.date.created2018
dc.date.issued2018-12-20
dc.identifier.urihttps://hdl.handle.net/10630/17105
dc.description.abstractChartering a vessel fleet to support maintenance operations at offshore wind farms (OWF's) constitutes one of the major costs of maintaining this type of installations. Literature describes deterministic optimization models based on complete information within scenarios to schedule the maintenance and support decisions on the vessel fleet composition. The operations to be carried out can be classified as preventive and corrective tasks. The first type aims at reducing the likelihood of breakdowns and to prolong the life of turbine components. Corrective tasks are needed to repair breakdowns in turbines when they occur. Our research question is how to generate a vessel fleet composition, where the evaluation is based on scheduling without complete information. Such a model is a bi-level decision problem. On the first (tactical) level, decisions are made on the fleet composition for a certain time horizon. On the second (operational) level, the fleet is used to schedule the operations needed at the OWF, given random events of failures and weather conditions. A scenario based approach allows evaluation by parallel operational scheduling for each scenario..en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Spanish Ministry (TIN2015-66680)en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBarcosen_US
dc.subject.otherOffshore wind farmsen_US
dc.subject.otherMaintenanceen_US
dc.subject.otherSchedulingen_US
dc.titleModelling vessel fleet composition for maintenance operations at offshore wind farmsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleECOS 2018 - The 31st International Conference on Efficiency, Cost, Optimization, Simulation and Enviromental Impact of Energy Systemsen_US
dc.relation.eventplaceGuimaraesen_US
dc.relation.eventdate17 junio 2018en_US
dc.rights.ccAtribución 4.0 Internacional*


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