Publication
An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations
| Summary: | 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. |
|---|---|
| Main Authors: | Meneses, Bruno |
| Other Authors: | Lopes, António |
| Subject: | Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
| Year: | 2017 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Universidade de Lisboa |
| Language: | English |
| Origin: | Repositório da Universidade de Lisboa |
| _version_ | 1869346301859069952 |
|---|---|
| author | Meneses, Bruno |
| author2 | Lopes, António |
| author2_role | author |
| author_facet | Meneses, Bruno Lopes, António |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Meneses, Bruno\",\"Person.identifier.orcid\":\"0000-0003-3348-6732\"},{\"Person.name\":\"Lopes, António\",\"Person.identifier.orcid\":\"0000-0002-9357-7639\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Meneses, Bruno Lopes, António |
| datacite.date.Accepted.fl_str_mv | 2017-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-01-01T01:30:18Z |
| datacite.date.embargoed.fl_str_mv | 2020-01-01T01:30:18Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
| datacite.titles.title.fl_str_mv | An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Meneses, Bruno Lopes, António |
| dc.date.Accepted.fl_str_mv | 2017-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-01-01T01:30:18Z |
| dc.date.embargoed.fl_str_mv | 2020-01-01T01:30:18Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/36208 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
| dc.title.fl_str_mv | An integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observations |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/8cae2f5a-a0c8-4550-8cbf-97385c00d892/download |
| id | ul_929c19d4b98e43d96b7cc5e70ffd58c1 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/36208 |
| inst_facet_str | urn:organizationAcronym:ul{{{_:::_}}}Universidade de Lisboa |
| instacron_str | ul |
| institution | Universidade de Lisboa |
| instname_str | Universidade de Lisboa |
| language | eng |
| network_acronym_str | ul |
| network_name_str | Repositório da Universidade de Lisboa |
| oai_identifier_str | oai:repositorio.ulisboa.pt:10451/36208 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Meneses, Bruno Meneses, Bruno https://www.ciencia-id.pt/201F-5AF2-4B5C 201F-5AF2-4B5C http://orcid.org/0000-0003-3348-6732 0000-0003-3348-6732 Lopes, António Lopes, António https://www.ciencia-id.pt/1D15-FB93-4687 1D15-FB93-4687 http://orcid.org/0000-0002-9357-7639 0000-0002-9357-7639 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | Springer |
| repo_facet_str | urn:repositoryAcronym:ul{{{_:::_}}}Repositório da Universidade de Lisboa |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engSpringerpt_PTWind-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.application/pdfpt_PTAn integrated approach for wind fields assessment in coastal areas, based on bioindicators, CFD modeling, and observationsPersonalMeneses, BrunoDSpacehttp://dspace.org/items/eb2faf62-1808-4ba8-b607-16be56791a32DSpacehttp://dspace.org/items/eb2faf62-1808-4ba8-b607-16be56791a32MenesesBrunoCiência IDhttps://www.ciencia-id.pt201F-5AF2-4B5CORCIDhttp://orcid.org0000-0003-3348-6732Researcher IDhttps://www.researcherid.comK-2257-2016Scopus Author IDhttps://www.scopus.com56644680400PersonalLopes, AntónioDSpacehttp://dspace.org/items/5ec106ce-350f-4b1b-aed6-1acd9f11f7f1DSpacehttp://dspace.org/items/5ec106ce-350f-4b1b-aed6-1acd9f11f7f1LopesAntónioCiência IDhttps://www.ciencia-id.pt1D15-FB93-4687ORCIDhttp://orcid.org0000-0002-9357-7639Researcher IDhttps://www.researcherid.comF-3217-2010Scopus Author IDhttps://www.scopus.com55951850000HostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@ulisboa.ptrepositorio@ulisboa.ptISSNIsPartOf0177-798XISSNIsPartOf1434-4483DOIIsPartOf10.1007/s00704-015-1707-42020-01-01T01:30:18Z20172017-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/36208http://purl.org/coar/access_right/c_abf2open accessWind SpeedComputational Fluid DynamicWind PowerWind FarmHigh Wind Speed2741830 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/8cae2f5a-a0c8-4550-8cbf-97385c00d892/downloadTheoretical and Applied Climatology1281-2301310 |
| 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 |
| status | SINGLETON |
| subject.fl_str_mv | Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
| title | 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_short | 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 |
| topic | Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
| topic_facet | Wind Speed Computational Fluid Dynamic Wind Power Wind Farm High Wind Speed |
| url | http://hdl.handle.net/10451/36208 |
| visible | 1 |