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dc.contributor.authorCastro-Santos, Laura
dc.contributor.authorFilgueira-Vizoso, Almudena
dc.contributor.authorCostoya, Xurxo
dc.contributor.authorArguilé-Pérez, Beatriz
dc.contributor.authorRibeiro, Américo
dc.date.accessioned2024-06-20T13:23:28Z
dc.date.available2024-06-20T13:23:28Z
dc.date.issued2024-02
dc.identifier.citationL. Castro-Santos, A. Filgueira-Vizoso, X. Costoya, B. Arguilé-Pérez, A.S. Ribeiro, Economic viability of floating wave power farms considering the energy generated in the near future, Renewable Energy 222 (2024) 119947. https://doi.org/10.1016/j.renene.2024.119947es_ES
dc.identifier.issn1879-0682
dc.identifier.issn0960-1481
dc.identifier.urihttp://hdl.handle.net/2183/37226
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.description.abstract[Abstract]: This article aims to analyse the economic viability of floating wave energy farms for the present and the next twenty years. The energy potential of the waves mainly depends on the climate, so the current and near future analysis is crucial to determine the economic viability of wave energy farms in a particular location. Current and near future wave resources were considered to assess the main parameters (Net Present Value (NPV), Internal Rate of Return (IRR) and Levelized Cost of Energy (LCOE)) that allow to know the economic feasibility of wave energy farms. This study takes one step forward in determining the economic evaluation of wave energy farms located in deep waters using their future energy projections. The case of study in this paper is the Atlantic coast of the Iberian Peninsula. Results indicate that the future wave energy reduction principally affects the NPV and LCOE of the wave farm.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/44es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; UIDB/50017/2020þUIDP/50017/2020es_ES
dc.description.sponsorshipThis research was partially funded by Project PID2019- 105386RAI00 “Design of a tool for the selection of offshore renewable energy locations and technologies: application to Spanish territorial waters (SEARENEW)”, financed by Ministerio de Ciencia e Innovaci´on – Agencia Estatal de Investigaci´on/10.13039/501100011033. This research is part of the Project TED2021-132534B–I00 “Characterization of a software to determine the roadmap of the offshore solar energy in the Spanish shore (SEASUN)”, financed by MCIN/AEI/ 10.13039/501100011033 and by the European Union “NextGenerationEU”/ PRTR. Funding for open access charge: Universidade da Coru˜na/CISUG. The authors would like to acknowledge funding from the Xunta de Galicia under project ED431C 2021/44 (Grupos de Referencia Competitiva) and the Ministry of Science and Innovation of the Government of Spain under the project SURVIWEC PID2020-113245RB-I00. This work was partially supported by Project TED2021-129479A-100 (SAFE project) funded by MCIN/AEI/10.13039/501100011033 and the “European Union NextGenerationEU/PRTR”. Moreover, this study forms part of the Marine Science programme (ThinkInAzul) supported by Ministerio de Ciencia e Innovaci´on and Xunta de Galicia with funding from European Union NextGenerationEU (PRTR-C17. I1) and European Maritime and Fisheries Fund. Thanks are also due to the Portuguese Science Foundation (FCT) FCT/MCTES for the financial support to CESAM (UIDB/50017/ 2020þUIDP/50017/2020), through national funds. Additionally, this study was partially supported under the SMART project funded by the AI Moonshot Challenge 2020, promoted by the Portuguese Space Agency - Portugal Space. The present study is also part of the project “WECAnet: A pan-European network for Marine Renewable Energy” (CA17105), which received funding from the HORIZON2020 Framework Programme by COST (European Cooperation in Science and Technology), a funding agency for research and innovation networks. X. Costoya is supported by Grant IJC2020-043745-I/MCIN/AEI/10.13039/501100011033 by MCIN/AEI/10.13039/501100011033 and by “European Union NextGenerationEU/ PRTR”. B. Arguil´e-P´erez is supported by Grant PRE2021- 097580 funded by MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future". Funding for open access charge: Universidade de Vigo/CISUG.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105386RA-I00/ES/DISEÑO DE UNA HERRAMIENTA PARA LA SELECCION DE LOCALIZACIONES Y TECNOLOGIAS DE ENERGIAS RENOVABLES MARINAS: APLICACION A AGUAS TERRITORIALES ESPAÑOLASes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-132534B–I00/ES/es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113245RB-I00/ES/SUPERVIVENCIA DE DISPOSITIVOS CAPTADORES DE ENERGIA DE LAS OLASes_ES
dc.relationInfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129479A-100/ES/es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/IJC2020-043745-I/ES/es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PRE2021-097580/ES/es_ES
dc.relation.urihttps://doi.org/10.1016/j.renene.2024.119947es_ES
dc.rightsAttribution-NonCommercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectFloating wave energyes_ES
dc.subjectFuture wave resourcees_ES
dc.subjectLevelized cost of energyes_ES
dc.subjectNet present valuees_ES
dc.subjectInternal rate of returnes_ES
dc.titleEconomic viability of floating wave power farms considering the energy generated in the near futurees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleRenewable Energyes_ES
UDC.volume222es_ES
dc.identifier.doihttps://doi.org/10.1016/j.renene.2024.119947


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