Wind resource assessment method for floating deep offshore wind turbines
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: | http://hdl.handle.net/10400.9/2674 |
Resumo: | This study presents a new methodology for the assessment of the wind energy resource at deep offshore locations where the use of floating wind turbines is foreseen. The wind resource assessment methodology developed follows the principles used by IEC 61400-12-1 standard in general and proposes the use of experimental data from a floating light detection and ranging (LIDAR) system on a deep offshore region – that assumes the role of the ‘temporary mast’ – and a coastal meteorological mast installed onshore acting as the ‘permanent met mast’. The methodology takes into consideration the time shift between the locations of the two measurement points and the wind direction associated with different atmospheric phenomena. The results obtained conclude that the methodology increases the accuracy of the wind resource assessment campaign while reducing the involved costs and technical risks. An added advantage is the possibility of extending this methodology for the evaluation of the power performance of floating wind turbines during the operational phase of the power plant. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Wind resource assessment method for floating deep offshore wind turbinesWind power plantsWind resourceOffshore wind energyWind turbinesPower qualityIEC 61400-12-1 standardThis study presents a new methodology for the assessment of the wind energy resource at deep offshore locations where the use of floating wind turbines is foreseen. The wind resource assessment methodology developed follows the principles used by IEC 61400-12-1 standard in general and proposes the use of experimental data from a floating light detection and ranging (LIDAR) system on a deep offshore region – that assumes the role of the ‘temporary mast’ – and a coastal meteorological mast installed onshore acting as the ‘permanent met mast’. The methodology takes into consideration the time shift between the locations of the two measurement points and the wind direction associated with different atmospheric phenomena. The results obtained conclude that the methodology increases the accuracy of the wind resource assessment campaign while reducing the involved costs and technical risks. An added advantage is the possibility of extending this methodology for the evaluation of the power performance of floating wind turbines during the operational phase of the power plant.Institution of Engineering and Technology - IETRepositório do LNEGEstanqueiro, AnaCouto, AntónioRodrigues, L.Marujo, R.2015-03-25T17:54:08Z2014-01-01T00:00:00Z2014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.9/2674engEstanqueiro, A.; Couto, A.; Rodrigues, L.; Marujo, R. - Wind resource assessment method for floating deep offshore wind turbines. In: Engineering & Technology Reference, 2014, 7 p. [Published online: november 2014]2056-4007info: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:RCAAP2022-09-06T12:27:50Zoai:repositorio.lneg.pt:10400.9/2674Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:35:39.040102Repositório 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 |
Wind resource assessment method for floating deep offshore wind turbines |
title |
Wind resource assessment method for floating deep offshore wind turbines |
spellingShingle |
Wind resource assessment method for floating deep offshore wind turbines Estanqueiro, Ana Wind power plants Wind resource Offshore wind energy Wind turbines Power quality IEC 61400-12-1 standard |
title_short |
Wind resource assessment method for floating deep offshore wind turbines |
title_full |
Wind resource assessment method for floating deep offshore wind turbines |
title_fullStr |
Wind resource assessment method for floating deep offshore wind turbines |
title_full_unstemmed |
Wind resource assessment method for floating deep offshore wind turbines |
title_sort |
Wind resource assessment method for floating deep offshore wind turbines |
author |
Estanqueiro, Ana |
author_facet |
Estanqueiro, Ana Couto, António Rodrigues, L. Marujo, R. |
author_role |
author |
author2 |
Couto, António Rodrigues, L. Marujo, R. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório do LNEG |
dc.contributor.author.fl_str_mv |
Estanqueiro, Ana Couto, António Rodrigues, L. Marujo, R. |
dc.subject.por.fl_str_mv |
Wind power plants Wind resource Offshore wind energy Wind turbines Power quality IEC 61400-12-1 standard |
topic |
Wind power plants Wind resource Offshore wind energy Wind turbines Power quality IEC 61400-12-1 standard |
description |
This study presents a new methodology for the assessment of the wind energy resource at deep offshore locations where the use of floating wind turbines is foreseen. The wind resource assessment methodology developed follows the principles used by IEC 61400-12-1 standard in general and proposes the use of experimental data from a floating light detection and ranging (LIDAR) system on a deep offshore region – that assumes the role of the ‘temporary mast’ – and a coastal meteorological mast installed onshore acting as the ‘permanent met mast’. The methodology takes into consideration the time shift between the locations of the two measurement points and the wind direction associated with different atmospheric phenomena. The results obtained conclude that the methodology increases the accuracy of the wind resource assessment campaign while reducing the involved costs and technical risks. An added advantage is the possibility of extending this methodology for the evaluation of the power performance of floating wind turbines during the operational phase of the power plant. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01T00:00:00Z 2014-01-01T00:00:00Z 2015-03-25T17:54:08Z |
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/10400.9/2674 |
url |
http://hdl.handle.net/10400.9/2674 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Estanqueiro, A.; Couto, A.; Rodrigues, L.; Marujo, R. - Wind resource assessment method for floating deep offshore wind turbines. In: Engineering & Technology Reference, 2014, 7 p. [Published online: november 2014] 2056-4007 |
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.publisher.none.fl_str_mv |
Institution of Engineering and Technology - IET |
publisher.none.fl_str_mv |
Institution of Engineering and Technology - IET |
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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1799130221800062976 |