A high resolution geospatial database for wave energy exploitation
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , |
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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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 |
repository.mail.fl_str_mv |
|
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1799136129087176704 |