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dc.contributor.authorSáenz Aguirre, Aitor
dc.contributor.authorUlazia Manterola, Alain ORCID
dc.contributor.authorIbarra Berastegi, Gabriel
dc.contributor.authorSáenz Aguirre, Jon ORCID
dc.date.accessioned2022-11-30T18:07:12Z
dc.date.available2022-11-30T18:07:12Z
dc.date.issued2022-11
dc.identifier.citationEnergy Conversion and Management 271 : (2022) // Article ID 116303es_ES
dc.identifier.issn0196-8904
dc.identifier.issn1879-2227
dc.identifier.urihttp://hdl.handle.net/10810/58625
dc.description.abstractOffshore wind power is one of the fastest-growing renewable energy sources, as it is expected to play a major role in the transition towards sustainability and net zero emissions. Despite its potential, the interaction of the turbines with the oceanic waves, especially in case of floating turbines, is one of the main drawbacks associated to it. In fact, mechanical oscillations caused by the waves could potentially alter the operation and lifetime of the turbines. Hence, while the characterization of the wind is sufficient for the long-term design of onshore wind turbines, the procedure is more complex in case of offshore turbines, since the height, period and direction of the waves will affect the lifetime of the turbine. In this paper, a methodology for the evaluation of the energy generation and fatigue mechanical loads of a Floating Offshore Wind Turbine (FOWT) considering a 30-year period is proposed. To that end, meteorological data from 1991 to 2020 are characterized using a cluster analysis and reduced into a computationally affordable number of simulation cases. Results show negligible energy loss of a FOWT due to interaction with the oceanic waves. However, a substantial increment of the mechanical fatigue in the side-side and fore-aft bending moments of the tower are detected. Such analyses might be applied for the predictability of the lifetime of an offshore wind turbine, as well as the selection of potential optimal wind farm locations, based on climatic patterns and the evolution of meteorological data.es_ES
dc.description.sponsorshipThe authors acknowledge grant PID2020-116153RB-I00 funded by MCIN/AEI/10.13039/501100011033 and, as appropriate, by “ERDF A way of making Europe”, by the “European Union” or by the “European Union NextGenerationEU/PRTR”. Additionally, financial support by the University of the Basque Country under the contract (UPV/EHU project GIU20/008) has been received.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2020-116153RB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectwind energyes_ES
dc.subjectfloating offshorees_ES
dc.subjectfatigue loadses_ES
dc.subjectcluster analysises_ES
dc.subjectERA5es_ES
dc.titleFloating wind turbine energy and fatigue loads estimation according to climate period scaled wind and waveses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0196890422010810?via%3Dihubes_ES
dc.identifier.doi10.1016/j.enconman.2022.116303
dc.departamentoesFísicaes_ES
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoeuEnergia Ingenieritzaes_ES
dc.departamentoeuFisikaes_ES


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© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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