An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations

Detalhes bibliográficos
Autor(a) principal: Meneses, Bruno
Data de Publicação: 2017
Outros Autores: Lopes, António
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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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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