Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.6/7074 |
Resumo: | This paper addresses the importance of the probabilistic analysis in determining the wave energy potential to support the design of electrical generators for wave energy conversion. The irregular activity of ocean waves induces variable frequencies and amplitudes of operation for point absorbers electrical generators, which may lead to the construction of inefficient electrical machines. Applying probabilistic models to describe the ocean wave’s behavior allows the determination of the values most likely to be sampled for ocean-state parameters. Knowing these values, the most expected ocean wave potential can be determined and a proper device design can be performed. This work also refers to the importance of using the joint probability models instead of the marginal ones. Seven locations at the Portuguese coast are evaluated in order to determine their wave energy resource potential. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parametersWave energy conversionStatistical analysisSignificant heightMean periodThis paper addresses the importance of the probabilistic analysis in determining the wave energy potential to support the design of electrical generators for wave energy conversion. The irregular activity of ocean waves induces variable frequencies and amplitudes of operation for point absorbers electrical generators, which may lead to the construction of inefficient electrical machines. Applying probabilistic models to describe the ocean wave’s behavior allows the determination of the values most likely to be sampled for ocean-state parameters. Knowing these values, the most expected ocean wave potential can be determined and a proper device design can be performed. This work also refers to the importance of using the joint probability models instead of the marginal ones. Seven locations at the Portuguese coast are evaluated in order to determine their wave energy resource potential.ElsevieruBibliorumMendes, Rui Pedro GouveiaCalado, M. do RosárioMariano, S.2019-05-10T13:18:01Z2012-052012-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7074eng10.1016/j.renene.2012.04.009metadata only accessinfo: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:RCAAP2024-11-27T12:22:35Zoai:ubibliorum.ubi.pt:10400.6/7074Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-27T12:22:35Repositório 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 |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
title |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
spellingShingle |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters Mendes, Rui Pedro Gouveia Wave energy conversion Statistical analysis Significant height Mean period |
title_short |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
title_full |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
title_fullStr |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
title_full_unstemmed |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
title_sort |
Wave energy potential in Portugal–Assessment based on probabilistic description of ocean waves parameters |
author |
Mendes, Rui Pedro Gouveia |
author_facet |
Mendes, Rui Pedro Gouveia Calado, M. do Rosário Mariano, S. |
author_role |
author |
author2 |
Calado, M. do Rosário Mariano, S. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Mendes, Rui Pedro Gouveia Calado, M. do Rosário Mariano, S. |
dc.subject.por.fl_str_mv |
Wave energy conversion Statistical analysis Significant height Mean period |
topic |
Wave energy conversion Statistical analysis Significant height Mean period |
description |
This paper addresses the importance of the probabilistic analysis in determining the wave energy potential to support the design of electrical generators for wave energy conversion. The irregular activity of ocean waves induces variable frequencies and amplitudes of operation for point absorbers electrical generators, which may lead to the construction of inefficient electrical machines. Applying probabilistic models to describe the ocean wave’s behavior allows the determination of the values most likely to be sampled for ocean-state parameters. Knowing these values, the most expected ocean wave potential can be determined and a proper device design can be performed. This work also refers to the importance of using the joint probability models instead of the marginal ones. Seven locations at the Portuguese coast are evaluated in order to determine their wave energy resource potential. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-05 2012-05-01T00:00:00Z 2019-05-10T13:18:01Z |
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 |
http://hdl.handle.net/10400.6/7074 |
url |
http://hdl.handle.net/10400.6/7074 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.renene.2012.04.009 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
mluisa.alvim@gmail.com |
_version_ |
1817549624357945344 |