Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil
This study presents a methodology using multivariate analysis: Principal Component Analysis (PCA) and Cluster Analysis (CA) to analyze data of hourly averaged speed in hours from 28 stations distributed in four states of Northeastern Brazil: Ceará with 10 stations, Paraíba with 5 stations, Pernambuc...
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| Format: | Article |
| Language: | English |
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Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
2010-08-01
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| Series: | Revista Ambiente & Água |
| Subjects: | |
| Online Access: | http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/415 |
| _version_ | 1818358353223483392 |
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| author | Roni Valter de Sousa Guedes Emerson Mariano Silva Jonathan Castro Amanajás Francisco José Lopes de Lima |
| author_facet | Roni Valter de Sousa Guedes Emerson Mariano Silva Jonathan Castro Amanajás Francisco José Lopes de Lima |
| author_sort | Roni Valter de Sousa Guedes |
| collection | DOAJ |
| description | This study presents a methodology using multivariate analysis: Principal Component Analysis (PCA) and Cluster Analysis (CA) to analyze data of hourly averaged speed in hours from 28 stations distributed in four states of Northeastern Brazil: Ceará with 10 stations, Paraíba with 5 stations, Pernambuco with 8 stations and Rio Grande do Norte with 5 stations. All stations are well distributed spatially and period of data between 1977 to 1981. The results of the Principal Component Analysis (PCA) showed that the coastal and mountainous regions have the greatest potential for energy generation results, in particularly at the stations of Acaraú-CE and Macaú-RN, while Barbalha-CE had the lowest potential, possibly due to its location. The Cluster Analysis (CA), using the Ward method, allowed the distribution of the stations into six homogeneous groups. |
| first_indexed | 2024-12-13T20:27:39Z |
| format | Article |
| id | doaj.art-8aa8846e77ba4476af764a3ae9005554 |
| institution | Directory Open Access Journal |
| issn | 1980-993X |
| language | English |
| last_indexed | 2024-12-13T20:27:39Z |
| publishDate | 2010-08-01 |
| publisher | Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) |
| record_format | Article |
| series | Revista Ambiente & Água |
| spelling | doaj.art-8aa8846e77ba4476af764a3ae90055542022-12-21T23:32:31ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2010-08-015218820110.4136/ambi-agua.415Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, BrazilRoni Valter de Sousa GuedesEmerson Mariano SilvaJonathan Castro AmanajásFrancisco José Lopes de LimaThis study presents a methodology using multivariate analysis: Principal Component Analysis (PCA) and Cluster Analysis (CA) to analyze data of hourly averaged speed in hours from 28 stations distributed in four states of Northeastern Brazil: Ceará with 10 stations, Paraíba with 5 stations, Pernambuco with 8 stations and Rio Grande do Norte with 5 stations. All stations are well distributed spatially and period of data between 1977 to 1981. The results of the Principal Component Analysis (PCA) showed that the coastal and mountainous regions have the greatest potential for energy generation results, in particularly at the stations of Acaraú-CE and Macaú-RN, while Barbalha-CE had the lowest potential, possibly due to its location. The Cluster Analysis (CA), using the Ward method, allowed the distribution of the stations into six homogeneous groups.http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/415windrenewable energyhomogeneous groups |
| spellingShingle | Roni Valter de Sousa Guedes Emerson Mariano Silva Jonathan Castro Amanajás Francisco José Lopes de Lima Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil Revista Ambiente & Água wind renewable energy homogeneous groups |
| title | Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil |
| title_full | Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil |
| title_fullStr | Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil |
| title_full_unstemmed | Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil |
| title_short | Principal Component and Cluster Analysis to study wind to support energy generation in the region of Ceará, Paraíba, Pernambuco and Rio Grande do Norte, Brazil |
| title_sort | principal component and cluster analysis to study wind to support energy generation in the region of ceara paraiba pernambuco and rio grande do norte brazil |
| topic | wind renewable energy homogeneous groups |
| url | http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/415 |
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