Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling
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 O...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Meteorologia
|
| Series: | Revista Brasileira de Meteorologia |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200279&lng=en&tlng=en |
| _version_ | 1819068339059687424 |
|---|---|
| author | Diogo Nunes da Silva Ramos Roberto Fernando da Fonseca Lyra Rosiberto Salustiano da Silva Júnior Geórgenes Hilário Cavalcante Segundo Gerson Ernesto Varela Lopes |
| author_facet | Diogo Nunes da Silva Ramos Roberto Fernando da Fonseca Lyra Rosiberto Salustiano da Silva Júnior Geórgenes Hilário Cavalcante Segundo Gerson Ernesto Varela Lopes |
| author_sort | Diogo Nunes da Silva Ramos |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T16:32:34Z |
| format | Article |
| id | doaj.art-ac0b6a7186d34f9eadfcc67eef23e820 |
| institution | Directory Open Access Journal |
| issn | 1982-4351 |
| language | English |
| last_indexed | 2024-12-21T16:32:34Z |
| publisher | Sociedade Brasileira de Meteorologia |
| record_format | Article |
| series | Revista Brasileira de Meteorologia |
| spelling | doaj.art-ac0b6a7186d34f9eadfcc67eef23e8202022-12-21T18:57:19ZengSociedade Brasileira de MeteorologiaRevista Brasileira de Meteorologia1982-435133227928810.1590/0102-7786332007S0102-77862018000200279Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale ModelingDiogo Nunes da Silva RamosRoberto Fernando da Fonseca LyraRosiberto Salustiano da Silva JúniorGeórgenes Hilário Cavalcante SegundoGerson Ernesto Varela LopesAbstract 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200279&lng=en&tlng=enwindwind potentialWeibull distributionmicrositing |
| spellingShingle | Diogo Nunes da Silva Ramos Roberto Fernando da Fonseca Lyra Rosiberto Salustiano da Silva Júnior Geórgenes Hilário Cavalcante Segundo Gerson Ernesto Varela Lopes Wind Power in Girau do Ponciano, Alagoas, Brazil Using Anemometric Data and Microscale Modeling Revista Brasileira de Meteorologia wind wind potential Weibull distribution micrositing |
| title | 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_short | 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 |
| topic | wind wind potential Weibull distribution micrositing |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862018000200279&lng=en&tlng=en |
| work_keys_str_mv | AT diogonunesdasilvaramos windpoweringiraudoponcianoalagoasbrazilusinganemometricdataandmicroscalemodeling AT robertofernandodafonsecalyra windpoweringiraudoponcianoalagoasbrazilusinganemometricdataandmicroscalemodeling AT rosibertosalustianodasilvajunior windpoweringiraudoponcianoalagoasbrazilusinganemometricdataandmicroscalemodeling AT georgeneshilariocavalcantesegundo windpoweringiraudoponcianoalagoasbrazilusinganemometricdataandmicroscalemodeling AT gersonernestovarelalopes windpoweringiraudoponcianoalagoasbrazilusinganemometricdataandmicroscalemodeling |