Wave farm planning through high-resolution resource and performance characterization

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestales_ES
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorCarballo, Rodrigo
dc.contributor.authorAreán, Néstor
dc.contributor.authorLópez, Iván
dc.contributor.authorCastro Ponte, Alberte
dc.contributor.authorLópez, Mario
dc.contributor.authorÁlvarez, Miguel
dc.contributor.authorIglesias, Gregorio
dc.date.accessioned2024-02-02T09:24:18Z
dc.date.available2024-02-02T09:24:18Z
dc.date.issued2019
dc.description.abstractWave farm planning in a coastal region should lead to the selection of: i) the type of technology of wave energy converter (WEC) providing the highest performance at specific sites and ii) the sites for wave farm operation allowing an integrated coastal zone management (ICZM). On these bases, the deployment of a wave farm should be based on an accurate analysis of the performance of different WECs at coastal locations where wave energy exploitation does not interfere with other coastal uses, and the environmental impact is minimised (or positive, e.g. allowing coastal protection). With this in view, in this piece of research the intra-annual performance of various WECs of the same type (buoy-type) is computed at different locations in NW Spain allowing an ICZM perspective. For this purpose, the intra-annual version of WEDGE-p® (Wave Energy Diagram Generator – performance) tool is implemented. The results show that, as opposed to previous analysis on WECs with different principle of operation, the level of performance of buoy-type WECs at specific locations may present strong similarities. In this case, an accurate computation of different performance parameters along with their joint analysis emerge as a prerequisite for an informed decision-making.es_ES
dc.description.peerreviewedSIes_ES
dc.description.sponsorshipWEDGE-p® tool is the result of an extensive work developed in the framework of several research projects supported by the Ministry of Science and Innovation: Evaluación de los Recursos Energéticos Renovables (Ref. DPI2009-14546-CO2-02), Xunta de Galicia: Consolidación e estruturación – 2016 CIGEO (Ref ED431B 2019/30), Fundación Iberdrola: Online Application and High Resolution Management System for the Exploitation of the Wave Energy Resource in the Atlantic Region of Europe, and Fundación Barrié: Development of a Geospatial Database for the Exploitation of the Wave Energy Resource along the Galician Coast. During this work I. López was supported by the postdoctoral grant ED481B 2016/125-0 of the ‘Programa de Axudas á etapa posdoutoral da Xunta de Galicia’. The authors are grateful to Puertos del Estado for providing the wave data, and to Instituto Español de Oceanográfía (IEO) and Instituto Técnolóxico para o Control do Medio Mariño de Galicia (Intecmar) for the ocean uses and environmental data.es_ES
dc.identifier.citationR. Carballo, N. Arean, M. Álvarez, I. López, A. Castro, M. López, G. Iglesias, Wave farm planning through high-resolution resource and performance characterization, Renewable Energy, Volume 135, 2019, Pages 1097-1107, ISSN 0960-1481, https://doi.org/10.1016/j.renene.2018.12.081.es_ES
dc.identifier.doi10.1016/j.renene.2018.12.081
dc.identifier.essn1879-0682
dc.identifier.issn0960-1481
dc.identifier.urihttp://hdl.handle.net/10347/32242
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.renene.2018.12.081es_ES
dc.rightsCC BY-NC-NDes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectWave energyes_ES
dc.subjectBuoy-type WECses_ES
dc.subjectICZMes_ES
dc.subjectIntra-annual performancees_ES
dc.titleWave farm planning through high-resolution resource and performance characterizationes_ES
dc.typejournal articlees_ES
dc.type.hasVersionAMes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationca77e4a6-7bb9-49d3-8229-7bd8dbead9f7
relation.isAuthorOfPublication.latestForDiscoveryca77e4a6-7bb9-49d3-8229-7bd8dbead9f7

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Wave_farm_planning_accepted_manuscript.pdf
Size:
6.02 MB
Format:
Adobe Portable Document Format
Description: