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dc.contributor.authorTrueba, Virginia
dc.contributor.authorRodríguez Luis, Álvaro
dc.contributor.authorFernández Ruano, Sergio
dc.contributor.authorGuanche García, Raúl
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-01-19T19:30:29Z
dc.date.available2022-01-19T19:30:29Z
dc.date.issued2021
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.otherRYC-2017-23260es_ES
dc.identifier.urihttp://hdl.handle.net/10902/23763
dc.description.abstractABSTRACT: This paper presents a study of the impact of the Operations and Maintenance (O&M) vessel logistics over the power availability of an Offshore Wind Farm. In particular, the vessel size and availability are considered. The study is performed with a life-span simulator, based on historical metocean data, walk-to-walk characterization based on a frequency domain hydrodynamic modelling of multibody systems, wind farm fault simulator (based on a catalogue of more than 1800 faults) and an algorithm to reproduce the O&M intelligence (i.e. sea transportation, workability, among others). The frequency domain model is applied on an hourly basis considering the specific significant wave height, peak period, peak enhancement factor, mean heading, directional spreading, and a wave-by-wave strategy is used to find if personnel transfer and workability criteria are met. The WindFloat Atlantic wind farm, located off the coast of Viana do Castello (Portugal), was chosen together with the TRL+ project semi-submersible platform and the 10MW turbine as a reference case. Different vessel logistics options are compared, including full vessel availability and several options of waiting times. The power availability changes among the different cases of study could be compared with the cost changes, optimizing the LCOE (Levelized Cost of Energy) of the wind farm. The presented study is a valuable example of the potential of the proposed O&M simulation model as an optimization tool.es_ES
dc.description.sponsorshipRaúl Guanche also acknowledges financial support from the Ramon y Cajal Program (RYC-2017-23260) of the Spanish Ministry of Science, Innovation and Universities.es_ES
dc.format.extent12 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Physicses_ES
dc.rightsAtribución 3.0 España.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceJournal of physics. Conference series 2021, 2018, 1, 012041es_ES
dc.sourceDeep Sea Offshore Wind R&D Conference (18th ; 2021 ; Trondheim, Norway)es_ES
dc.titleImpact of vessel logistics on floating wind farm availabilityes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttp://doi.org/10.1088/1742-6596/2018/1/012041es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1088/1742-6596/2018/1/012041
dc.type.versionpublishedVersiones_ES


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Atribución 3.0 España.Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución 3.0 España.