An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/10451/36208 |
Resumo: | Wind-deformed trees can be good bioindicators of the mean wind speed and prevailing wind directions. The current research used bioindicators, computational fluid dynamics (CFD), and linear models to assess the wind fields in the windy coastal area of Cascais/Portugal. The main objectives of this research are to assess mean speed and directions of winds by using bioindicators and modeling techniques and to correlate both results in order to assess the best methods. The results obtained with the bioindicators showed that carpeting, the most severe deformation, was observed near the shoreline showing that the highest wind speeds are felt in this sector. Inland, where the winds have lower mean speeds, flagging forms are more frequent. When correlated with the bioindicators, the linear model gave better results than CFD models. We can conclude that in areas with good wind potential, the use of bioindicators can be a good alternative in the absence of wind data. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observationsWind SpeedComputational Fluid DynamicWind PowerWind FarmHigh Wind SpeedWind-deformed trees can be good bioindicators of the mean wind speed and prevailing wind directions. The current research used bioindicators, computational fluid dynamics (CFD), and linear models to assess the wind fields in the windy coastal area of Cascais/Portugal. The main objectives of this research are to assess mean speed and directions of winds by using bioindicators and modeling techniques and to correlate both results in order to assess the best methods. The results obtained with the bioindicators showed that carpeting, the most severe deformation, was observed near the shoreline showing that the highest wind speeds are felt in this sector. Inland, where the winds have lower mean speeds, flagging forms are more frequent. When correlated with the bioindicators, the linear model gave better results than CFD models. We can conclude that in areas with good wind potential, the use of bioindicators can be a good alternative in the absence of wind data.SpringerRepositório da Universidade de LisboaMeneses, BrunoLopes, António2020-01-01T01:30:18Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/36208engMeneses, B. M., Lopes, A. (2017). An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations. Theoretical and Applied Climatology, 128(1–2), 301–310. https://doi.org/10.1007/s00704-015-1707-4.0177-798X10.1007/s00704-015-1707-4info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:32:42Zoai:repositorio.ul.pt:10451/36208Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:50:30.667486Repositório 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 |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
title |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
spellingShingle |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations Meneses, Bruno Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
title_short |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
title_full |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
title_fullStr |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
title_full_unstemmed |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
title_sort |
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
author |
Meneses, Bruno |
author_facet |
Meneses, Bruno Lopes, António |
author_role |
author |
author2 |
Lopes, António |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Meneses, Bruno Lopes, António |
dc.subject.por.fl_str_mv |
Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
topic |
Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
description |
Wind-deformed trees can be good bioindicators of the mean wind speed and prevailing wind directions. The current research used bioindicators, computational fluid dynamics (CFD), and linear models to assess the wind fields in the windy coastal area of Cascais/Portugal. The main objectives of this research are to assess mean speed and directions of winds by using bioindicators and modeling techniques and to correlate both results in order to assess the best methods. The results obtained with the bioindicators showed that carpeting, the most severe deformation, was observed near the shoreline showing that the highest wind speeds are felt in this sector. Inland, where the winds have lower mean speeds, flagging forms are more frequent. When correlated with the bioindicators, the linear model gave better results than CFD models. We can conclude that in areas with good wind potential, the use of bioindicators can be a good alternative in the absence of wind data. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z 2020-01-01T01:30:18Z |
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/10451/36208 |
url |
http://hdl.handle.net/10451/36208 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Meneses, B. M., Lopes, A. (2017). An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations. Theoretical and Applied Climatology, 128(1–2), 301–310. https://doi.org/10.1007/s00704-015-1707-4. 0177-798X 10.1007/s00704-015-1707-4 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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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1799134440058781696 |