Evaluation of the Wind Fields in the Semi-Arid Region in Northeastern Brazil Using RAMS Model
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
_version_ |
1752122085457526784 |