Título:	Zoning of degraded pastures for wind farms in Brazil.
Autoria:	MOTTA, M. B. ANDRADE, R. G. RIBEIRO, C. B. de M. HOTT, M. C. ROCHA, W. S. D. da MAGALHAES JUNIOR, W. C. P. de MARTINS, C. E. BARROS, I. de OLIVEIRA, P. S. d'
Afiliação:	MATHEUS BERTOLINO MOTTA, UNIVERSIDADE FEDERAL DE JUIZ DE FORA; RICARDO GUIMARAES ANDRADE, CNPGL; CELSO BANDEIRA DE MELO RIBEIRO, UNIVERSIDADE FEDERAL DE JUIZ DE FORA; MARCOS CICARINI HOTT, CNPGL; WADSON SEBASTIAO DUARTE DA ROCHA, CNPGL; WALTER COELHO PEREIRA DE MAGALHAES JUNIOR, CNPGL; CARLOS EUGENIO MARTINS, CNPGL; INACIO DE BARROS, CNPGL; PERSIO SANDIR D OLIVEIRA, CNPGL.
Ano de publicação:	2026
Referência:	Results in Engineering, v. 29, 109638, 2026.
Conteúdo:	The increasing demand for energy is leading to a search for new energy sources worldwide. Linked to this is the need to ensure that this energy generation comes from renewable sources, such as wind farms. The existence of degraded areas is an increasingly researched problem in Brazil, both in academia and in the political, social, and economic spheres. Therefore, there is a possibility to reuse degraded areas for energy generation, more specifically wind power. There is a knowledge gap in studies that have assessed the potential of degraded areas in Brazil for wind power production. This study aimed to perform the zoning of areas with indicative degradation suitable for wind energy generation through the combined use of GIS and MCDM and several layers of climatological, physical, social, political, economic, and infrastructure data. In these layers, the weights of each layer were calculated using the MCDM method AHP to allow for the most accurate calculation of suitability. The results showed that the methodology proved effective in selecting areas for wind power expansion, with over 71 thousand km² included in the good and excellent classes – over 60% of suitability - with particular emphasis on the southern and northeastern regions.
Thesagro:	Pastagem Zoneamento Agrícola Energia Eólica
Palavras-chave:	Energia renovável Produção sustentável Geoprocessamento
Digital Object Identifier:	https://doi.org/10.1016/j.rineng.2026.109638
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPGL)