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dc.contributor.authorVázquez Clemente, Asier
dc.contributor.authorIzquierdo Ereño, Urko ORCID
dc.contributor.authorEnevoldsen, Peter
dc.contributor.authorAndersen, Finn-Hendrik
dc.contributor.authorBlanco Ilzarbe, Jesús María ORCID
dc.date.accessioned2024-05-28T15:50:13Z
dc.date.available2024-05-28T15:50:13Z
dc.date.issued2022-10
dc.identifier.citationSustainable Energy Technologies and Assessments 53(Part D) : (2022) // Article ID 102768es_ES
dc.identifier.issn2213-1396
dc.identifier.urihttp://hdl.handle.net/10810/68248
dc.description.abstractConsidering the political decisions taken in Europe in the last year, there is a renewed interest in the offshore wind sector. A considerable growth of large-scale offshore wind farms (OWF) is noticeable in Europe mainly due to technological advances in wind turbines and foundation structures, which have reduced their costs and improved their performance, and contributed to the implementation of offshore plants. This study uses a Multi-Criterion Decision Making (MCDM) approach in a Geographic Information System (GIS) to analyze which type of foundation is more adequate according to water depth, soil, and wave conditions, as these parameters affect not only the viability of the foundation type but also on the Levelized Cost of Energy (LCoE) of wind energy of the European seas. The results highlight the importance of floating offshore wind, as 61.55% of the total area could be exploited by these means. Moreover, the current exploited power could be increased by a factor of 615. The validation of the obtained results with up-to-date empirical data confirms the accuracy of this study and shed light on the importance of offshore wind, what could encourage policymakers on their decision-making process.es_ES
dc.description.sponsorshipAuthors would like to thank the University of the Basque Country (UPV/EHU) and the Basque Government through the research group (IT1514-22).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectoffshore wind energyes_ES
dc.subjectmulti-criterion decision makinges_ES
dc.subjectgeographic information systemes_ES
dc.subjectsite selectiones_ES
dc.subjectoffshore wind potentiales_ES
dc.titleA macroscale optimal substructure selection for Europe’s offshore wind farmses_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-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2213138822008165es_ES
dc.identifier.doi10.1016/j.seta.2022.102768
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoeuEnergia Ingenieritzaes_ES


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© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/).
Except where otherwise noted, this item's license is described as © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).