A high resolution geospatial database for wave energy exploitation

Detalhes bibliográficos
Autor(a) principal: F. Taveira Pinto
Data de Publicação: 2014
Outros Autores: Rodrigo Carballo, V. Ramos, G. Iglesias
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/77127
Resumo: The estimation of energy production of a given WEC (wave energy converter) at a given coastal site is thebasis for correct decision-making regarding wave energy exploitation in a coastal region. Nevertheless,the procedure followed by the conventional approach to characterize the wave energy resource does notprovide the required information to obtain an accurate estimate. In this work, this information is providedfor the region with the greatest resource in the Iberian Peninsula, the Death Coast (NW Spain). Forthis purpose, a geospatial database is produced by using a methodology which involves the considerationof virtually the totality of the resource together with the implementation of a high resolution spectralnumerical model. In addition, a Matlab-based toolbox called WEDGE (Wave Energy Diagram GEnerator)is implemented to access the database and automatically generate high resolution energy diagrams (orcharacterization matrices) of the wave energy resource at any coastal location within this region. In thisway, a precise computation of energy production of any WEC at any site of interest can now be performed.Finally, the functionality of the database is shown through a case study of a recently proposedwave farm.
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spelling A high resolution geospatial database for wave energy exploitationEngenharia hidraúlica, Engenharia civilHydraulic engineering, Civil engineeringThe estimation of energy production of a given WEC (wave energy converter) at a given coastal site is thebasis for correct decision-making regarding wave energy exploitation in a coastal region. Nevertheless,the procedure followed by the conventional approach to characterize the wave energy resource does notprovide the required information to obtain an accurate estimate. In this work, this information is providedfor the region with the greatest resource in the Iberian Peninsula, the Death Coast (NW Spain). Forthis purpose, a geospatial database is produced by using a methodology which involves the considerationof virtually the totality of the resource together with the implementation of a high resolution spectralnumerical model. In addition, a Matlab-based toolbox called WEDGE (Wave Energy Diagram GEnerator)is implemented to access the database and automatically generate high resolution energy diagrams (orcharacterization matrices) of the wave energy resource at any coastal location within this region. In thisway, a precise computation of energy production of any WEC at any site of interest can now be performed.Finally, the functionality of the database is shown through a case study of a recently proposedwave farm.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/77127eng0360-544210.1016/j.energy.2014.02.093F. Taveira PintoRodrigo CarballoV. RamosG. Iglesiasinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:20:45Zoai:repositorio-aberto.up.pt:10216/77127Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:21:15.456525Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A high resolution geospatial database for wave energy exploitation
title A high resolution geospatial database for wave energy exploitation
spellingShingle A high resolution geospatial database for wave energy exploitation
F. Taveira Pinto
Engenharia hidraúlica, Engenharia civil
Hydraulic engineering, Civil engineering
title_short A high resolution geospatial database for wave energy exploitation
title_full A high resolution geospatial database for wave energy exploitation
title_fullStr A high resolution geospatial database for wave energy exploitation
title_full_unstemmed A high resolution geospatial database for wave energy exploitation
title_sort A high resolution geospatial database for wave energy exploitation
author F. Taveira Pinto
author_facet F. Taveira Pinto
Rodrigo Carballo
V. Ramos
G. Iglesias
author_role author
author2 Rodrigo Carballo
V. Ramos
G. Iglesias
author2_role author
author
author
dc.contributor.author.fl_str_mv F. Taveira Pinto
Rodrigo Carballo
V. Ramos
G. Iglesias
dc.subject.por.fl_str_mv Engenharia hidraúlica, Engenharia civil
Hydraulic engineering, Civil engineering
topic Engenharia hidraúlica, Engenharia civil
Hydraulic engineering, Civil engineering
description The estimation of energy production of a given WEC (wave energy converter) at a given coastal site is thebasis for correct decision-making regarding wave energy exploitation in a coastal region. Nevertheless,the procedure followed by the conventional approach to characterize the wave energy resource does notprovide the required information to obtain an accurate estimate. In this work, this information is providedfor the region with the greatest resource in the Iberian Peninsula, the Death Coast (NW Spain). Forthis purpose, a geospatial database is produced by using a methodology which involves the considerationof virtually the totality of the resource together with the implementation of a high resolution spectralnumerical model. In addition, a Matlab-based toolbox called WEDGE (Wave Energy Diagram GEnerator)is implemented to access the database and automatically generate high resolution energy diagrams (orcharacterization matrices) of the wave energy resource at any coastal location within this region. In thisway, a precise computation of energy production of any WEC at any site of interest can now be performed.Finally, the functionality of the database is shown through a case study of a recently proposedwave farm.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/77127
url https://repositorio-aberto.up.pt/handle/10216/77127
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0360-5442
10.1016/j.energy.2014.02.093
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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