Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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=S0102-77862018000200279 |
Resumo: | Abstract The wind potential in the Agreste region of Northeastern Brazil has important features for energy exploration, but, stills unexplored. This work analyzes 3.1 yrs anemometer tower measurements in the Girau do Ponciano, Alagoas state. The observational data was recorded from October 2007 to October 2010. Three periods were defined to constrain the seasonal wind patterns: Annual, Dry (October-January) and Wet (May-August). Hourly and monthly series showed the average wind speed was higher than 7 m s-1, reaching 8.5 m s-1 during the dry season. Further, the wind direction was also favorable with less variability, concentrated between NE and SE. During nighttime the wind speed ≥ 10 m s-1 were more frequent. The Weibull fit is more distributed (concentrated) during the dry (wet) season close to 8 m s-1 (7 m s-1). The AEP (Cf) parameter estimated by the WAsP model varied between 3 to 10 GWh (35% to 65%). Nevertheless, Girau do Ponciano domain was positioned nearby two highways and close to an electrical substation in the Arapiraca city. Other geographic conditions (topography inclination < 15°, the absence of obstacles, and low vegetation) are also favorable to future wind farm installation in this area. |
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Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modelingwindwind potentialWeibull distributionmicrositingAbstract The wind potential in the Agreste region of Northeastern Brazil has important features for energy exploration, but, stills unexplored. This work analyzes 3.1 yrs anemometer tower measurements in the Girau do Ponciano, Alagoas state. The observational data was recorded from October 2007 to October 2010. Three periods were defined to constrain the seasonal wind patterns: Annual, Dry (October-January) and Wet (May-August). Hourly and monthly series showed the average wind speed was higher than 7 m s-1, reaching 8.5 m s-1 during the dry season. Further, the wind direction was also favorable with less variability, concentrated between NE and SE. During nighttime the wind speed ≥ 10 m s-1 were more frequent. The Weibull fit is more distributed (concentrated) during the dry (wet) season close to 8 m s-1 (7 m s-1). The AEP (Cf) parameter estimated by the WAsP model varied between 3 to 10 GWh (35% to 65%). Nevertheless, Girau do Ponciano domain was positioned nearby two highways and close to an electrical substation in the Arapiraca city. Other geographic conditions (topography inclination < 15°, the absence of obstacles, and low vegetation) are also favorable to future wind farm installation in this area.Sociedade Brasileira de Meteorologia2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200279Revista Brasileira de Meteorologia v.33 n.2 2018reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-7786332007info:eu-repo/semantics/openAccessRamos,Diogo Nunes da SilvaLyra,Roberto Fernando da FonsecaSilva Júnior,Rosiberto Salustiano daSegundo,Geórgenes Hilário CavalcanteLopes,Gerson Ernesto Varelaeng2019-05-27T00:00:00Zoai:scielo:S0102-77862018000200279Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2019-05-27T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false |
dc.title.none.fl_str_mv |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
title |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
spellingShingle |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling Ramos,Diogo Nunes da Silva wind wind potential Weibull distribution micrositing |
title_short |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
title_full |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
title_fullStr |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
title_full_unstemmed |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
title_sort |
Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling |
author |
Ramos,Diogo Nunes da Silva |
author_facet |
Ramos,Diogo Nunes da Silva Lyra,Roberto Fernando da Fonseca Silva Júnior,Rosiberto Salustiano da Segundo,Geórgenes Hilário Cavalcante Lopes,Gerson Ernesto Varela |
author_role |
author |
author2 |
Lyra,Roberto Fernando da Fonseca Silva Júnior,Rosiberto Salustiano da Segundo,Geórgenes Hilário Cavalcante Lopes,Gerson Ernesto Varela |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ramos,Diogo Nunes da Silva Lyra,Roberto Fernando da Fonseca Silva Júnior,Rosiberto Salustiano da Segundo,Geórgenes Hilário Cavalcante Lopes,Gerson Ernesto Varela |
dc.subject.por.fl_str_mv |
wind wind potential Weibull distribution micrositing |
topic |
wind wind potential Weibull distribution micrositing |
description |
Abstract The wind potential in the Agreste region of Northeastern Brazil has important features for energy exploration, but, stills unexplored. This work analyzes 3.1 yrs anemometer tower measurements in the Girau do Ponciano, Alagoas state. The observational data was recorded from October 2007 to October 2010. Three periods were defined to constrain the seasonal wind patterns: Annual, Dry (October-January) and Wet (May-August). Hourly and monthly series showed the average wind speed was higher than 7 m s-1, reaching 8.5 m s-1 during the dry season. Further, the wind direction was also favorable with less variability, concentrated between NE and SE. During nighttime the wind speed ≥ 10 m s-1 were more frequent. The Weibull fit is more distributed (concentrated) during the dry (wet) season close to 8 m s-1 (7 m s-1). The AEP (Cf) parameter estimated by the WAsP model varied between 3 to 10 GWh (35% to 65%). Nevertheless, Girau do Ponciano domain was positioned nearby two highways and close to an electrical substation in the Arapiraca city. Other geographic conditions (topography inclination < 15°, the absence of obstacles, and low vegetation) are also favorable to future wind farm installation in this area. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-01 |
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=S0102-77862018000200279 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200279 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0102-7786332007 |
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.33 n.2 2018 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_ |
1752122085775245312 |