Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model

Detalhes bibliográficos
Autor(a) principal: Silva,Emerson Mariano da
Data de Publicação: 2017
Outros Autores: Sombra,Bruno Pires, Lira,Marcos Antonio Tavares, Alves,José Maria Brabo, Lima,Francisco José Lopes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862017000300485
Resumo: Abstract The use of wind power has increased significantly around the world over the last few years. Some estimates state that about 12% of all energy generated in the world will come from wind energy conversion systems, corresponding to an installed capacity of 1,200 GW. The installed wind power capacity in Brazil is low, being equal to 11300 MW in 2017. Even though Brazilian wind potential is not spread all over the country, some regions are quite interesting for the installation of wind farms, especially the Northeast region, which aggregates about 53% of the national potential. This work aims to identify patterns of variability of the wind regime, as well as potential sites for the generation of wind power in semi-arid northeastern Brazil. In order to achieve it, numerical simulations are performed using the Regional Atmospheric Modeling System (RAMS). During simulations, both turbulence parameterization and Newtonian relaxation time scale are evaluated. It is worth to mention that obtained data are compared with those provided by the National Institute of Meteorology (INMET) through static indexes.
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spelling Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Modelwind fieldssemi-aridatmospheric modelingAbstract The use of wind power has increased significantly around the world over the last few years. Some estimates state that about 12% of all energy generated in the world will come from wind energy conversion systems, corresponding to an installed capacity of 1,200 GW. The installed wind power capacity in Brazil is low, being equal to 11300 MW in 2017. Even though Brazilian wind potential is not spread all over the country, some regions are quite interesting for the installation of wind farms, especially the Northeast region, which aggregates about 53% of the national potential. This work aims to identify patterns of variability of the wind regime, as well as potential sites for the generation of wind power in semi-arid northeastern Brazil. In order to achieve it, numerical simulations are performed using the Regional Atmospheric Modeling System (RAMS). During simulations, both turbulence parameterization and Newtonian relaxation time scale are evaluated. It is worth to mention that obtained data are compared with those provided by the National Institute of Meteorology (INMET) through static indexes.Sociedade Brasileira de Meteorologia2017-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862017000300485Revista Brasileira de Meteorologia v.32 n.3 2017reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-77863230015info:eu-repo/semantics/openAccessSilva,Emerson Mariano daSombra,Bruno PiresLira,Marcos Antonio TavaresAlves,José Maria BraboLima,Francisco José Lopes deeng2019-05-23T00:00:00Zoai:scielo:S0102-77862017000300485Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2019-05-23T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
title Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
spellingShingle Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
Silva,Emerson Mariano da
wind fields
semi-arid
atmospheric modeling
title_short Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
title_full Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
title_fullStr Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
title_full_unstemmed Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
title_sort Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
author Silva,Emerson Mariano da
author_facet Silva,Emerson Mariano da
Sombra,Bruno Pires
Lira,Marcos Antonio Tavares
Alves,José Maria Brabo
Lima,Francisco José Lopes de
author_role author
author2 Sombra,Bruno Pires
Lira,Marcos Antonio Tavares
Alves,José Maria Brabo
Lima,Francisco José Lopes de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva,Emerson Mariano da
Sombra,Bruno Pires
Lira,Marcos Antonio Tavares
Alves,José Maria Brabo
Lima,Francisco José Lopes de
dc.subject.por.fl_str_mv wind fields
semi-arid
atmospheric modeling
topic wind fields
semi-arid
atmospheric modeling
description Abstract The use of wind power has increased significantly around the world over the last few years. Some estimates state that about 12% of all energy generated in the world will come from wind energy conversion systems, corresponding to an installed capacity of 1,200 GW. The installed wind power capacity in Brazil is low, being equal to 11300 MW in 2017. Even though Brazilian wind potential is not spread all over the country, some regions are quite interesting for the installation of wind farms, especially the Northeast region, which aggregates about 53% of the national potential. This work aims to identify patterns of variability of the wind regime, as well as potential sites for the generation of wind power in semi-arid northeastern Brazil. In order to achieve it, numerical simulations are performed using the Regional Atmospheric Modeling System (RAMS). During simulations, both turbulence parameterization and Newtonian relaxation time scale are evaluated. It is worth to mention that obtained data are compared with those provided by the National Institute of Meteorology (INMET) through static indexes.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862017000300485
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862017000300485
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-77863230015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.32 n.3 2017
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
instacron:SBMET
instname_str Sociedade Brasileira de Meteorologia (SBMET)
instacron_str SBMET
institution SBMET
reponame_str Revista Brasileira de Meteorologia (Online)
collection Revista Brasileira de Meteorologia (Online)
repository.name.fl_str_mv Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)
repository.mail.fl_str_mv ||rbmet@rbmet.org.br
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