Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículasgl
dc.contributor.authorRibeiro, Americo
dc.contributor.authorCostoya Noguerol, Jorge
dc.contributor.authorCastro, Maite de
dc.contributor.authorCarvalho, David
dc.contributor.authorDias, João Miguel
dc.contributor.authorRocha, Alfredo
dc.contributor.authorGómez Gesteira, Moncho
dc.date.accessioned2020-12-17T12:48:26Z
dc.date.available2020-12-17T12:48:26Z
dc.date.issued2020
dc.description.abstractOffshore renewable energy has a high potential for ensuring the successful implementation of the European decarbonization agenda planned for the near future. Hybrid wind-wave farms can reduce installation and maintenance costs, and increase the renewable energy availability of a location by compensating for the wind’s intermittent nature with good wave conditions. In addition, wave farms can provide protection to wind farms, and the combined wind/wave farm can provide coastal protection. This work aims to assess the future hybrid wind-wave energy resource for the northwest coast of Iberian Peninsula for the near future (2026–2045), under the RCP 8.5 greenhouse gas emission scenario. This assessment was accomplished by applying a Delphi classification method to define four categories, aiming to evaluate the richness (wind and wave energy availability, downtime), the variability (temporal variation), the environmental risk (extreme events), and cost parameters (water depth and distance to coast) of the wind and wave resources. The combined index (CI), which classifies the hybrid wind-wave resource, shows that most of the NW Iberian Peninsula presents good conditions (CI > 0.6) for exploiting energy from wind and wave resources simultaneously. Additionally, there are some particularly optimal areas (CI > 0.7), such as the region near Cape Roca, and the Galician coastgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThe first author of this work has been supported by the Portuguese Science Foundation (FCT) through a doctoral grant (SFRH/BD/114919/2016). Thanks are also due to FCT/MCTES for the financial support to CESAM (UIDB/50017/2020+UIDP/50017/2020), through national funds. This work was partially supported by Xunta de Galicia under project ED431C 2017/64-GRC (Grupos de Referencia Competitiva) and by Ministry of Economy and Competitiveness of the Government of Spain under the project “WELCOME ENE2016-75074-C2-1-R” funded by European Regional Development Fund (ERDF). This 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 networksgl
dc.identifier.citationRibeiro, A.; Costoya, X.; de Castro, M.; Carvalho, D.; Dias, J.M.; Rocha, A.; Gomez-Gesteira, M. Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context. Appl. Sci. 2020, 10, 7395gl
dc.identifier.doi10.3390/app10217395
dc.identifier.essn2076-3417
dc.identifier.urihttp://hdl.handle.net/10347/24062
dc.language.isoenggl
dc.publisherMDPIgl
dc.relation.publisherversionhttps://doi.org/10.3390/app10217395gl
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHybrid wind-wave farmgl
dc.subjectWind energygl
dc.subjectWave energygl
dc.subjectClimate changegl
dc.subjectResource classificationgl
dc.titleAssessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Contextgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationcde56e7e-1ae1-4424-81d1-444a5bd92ee7
relation.isAuthorOfPublication.latestForDiscoverycde56e7e-1ae1-4424-81d1-444a5bd92ee7

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2020_applsci_ribeiro_assessment.pdf
Size:
5.28 MB
Format:
Adobe Portable Document Format
Description: