Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro

Detalhes bibliográficos
Autor(a) principal: Gonçalves Júnior,Elias Rocha
Data de Publicação: 2020
Outros Autores: Rangel,Igor Cassiano, Tavares,Allysson Rodrigues Teixeira, Figueira Júnior,Elias Gomes, Erthal Junior,Milton, Souza,Claudio Luiz Melo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão & Produção
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2020000300210
Resumo: Abstract: Due to the current climatic conditions and concerns about the energy generation by renewable sources, wind energy becomes an alternative to meet the existing energy demand. This paper aims to analyze the most promising regions of the State of Rio de Janeiro for the implementation of wind farms for electricity generation. As an analysis tool, we intend to use the Analytic Hierarchy Process (AHP), due to its practicality, to assist in the state’s wind power atlas regions evaluation, identifying generating farms installation feasibility based on logistical, technical and economic aspects. Three suitable regions for wind farms installation were evaluated according to the following criteria: potencial for generation, land cost, interconnection cost to the grid, implementing zones e terrain-landform logistics. It was found that, for the Serrana Region, it is indicated the installation of a wind farm that operates at 50 meters in height, because it only has enough potential for equipment with this height. In the Lakes Region, it is appropriate to use wind turbines of 75 meters in height, highlighting it as the most promising for this equipment height, besides having the best logistics capacity of the three regions. Because it has a greater potential area than the other, the North Region provides a greater total production, also taking into account its greater efficiency in the aerogenerators to 100 meters of height, considering this region as the most appropriate. It is worth highlighting that, in this region, there is potential for installation in all the heights presented, scrutinizing the results obtained.
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spelling Multi-criteria assessment of potential regions for wind power generation in the State of Rio de JaneiroRenewable energyWind energyMultiple-criteria decision analysisAnalytic hierarchy processState of Rio de JaneiroAbstract: Due to the current climatic conditions and concerns about the energy generation by renewable sources, wind energy becomes an alternative to meet the existing energy demand. This paper aims to analyze the most promising regions of the State of Rio de Janeiro for the implementation of wind farms for electricity generation. As an analysis tool, we intend to use the Analytic Hierarchy Process (AHP), due to its practicality, to assist in the state’s wind power atlas regions evaluation, identifying generating farms installation feasibility based on logistical, technical and economic aspects. Three suitable regions for wind farms installation were evaluated according to the following criteria: potencial for generation, land cost, interconnection cost to the grid, implementing zones e terrain-landform logistics. It was found that, for the Serrana Region, it is indicated the installation of a wind farm that operates at 50 meters in height, because it only has enough potential for equipment with this height. In the Lakes Region, it is appropriate to use wind turbines of 75 meters in height, highlighting it as the most promising for this equipment height, besides having the best logistics capacity of the three regions. Because it has a greater potential area than the other, the North Region provides a greater total production, also taking into account its greater efficiency in the aerogenerators to 100 meters of height, considering this region as the most appropriate. It is worth highlighting that, in this region, there is potential for installation in all the heights presented, scrutinizing the results obtained.Universidade Federal de São Carlos2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2020000300210Gestão & Produção v.27 n.3 2020reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/0104-530x4747-20info:eu-repo/semantics/openAccessGonçalves Júnior,Elias RochaRangel,Igor CassianoTavares,Allysson Rodrigues TeixeiraFigueira Júnior,Elias GomesErthal Junior,MiltonSouza,Claudio Luiz Melo deeng2020-06-11T00:00:00Zoai:scielo:S0104-530X2020000300210Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2020-06-11T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
title Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
spellingShingle Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
Gonçalves Júnior,Elias Rocha
Renewable energy
Wind energy
Multiple-criteria decision analysis
Analytic hierarchy process
State of Rio de Janeiro
title_short Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
title_full Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
title_fullStr Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
title_full_unstemmed Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
title_sort Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
author Gonçalves Júnior,Elias Rocha
author_facet Gonçalves Júnior,Elias Rocha
Rangel,Igor Cassiano
Tavares,Allysson Rodrigues Teixeira
Figueira Júnior,Elias Gomes
Erthal Junior,Milton
Souza,Claudio Luiz Melo de
author_role author
author2 Rangel,Igor Cassiano
Tavares,Allysson Rodrigues Teixeira
Figueira Júnior,Elias Gomes
Erthal Junior,Milton
Souza,Claudio Luiz Melo de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves Júnior,Elias Rocha
Rangel,Igor Cassiano
Tavares,Allysson Rodrigues Teixeira
Figueira Júnior,Elias Gomes
Erthal Junior,Milton
Souza,Claudio Luiz Melo de
dc.subject.por.fl_str_mv Renewable energy
Wind energy
Multiple-criteria decision analysis
Analytic hierarchy process
State of Rio de Janeiro
topic Renewable energy
Wind energy
Multiple-criteria decision analysis
Analytic hierarchy process
State of Rio de Janeiro
description Abstract: Due to the current climatic conditions and concerns about the energy generation by renewable sources, wind energy becomes an alternative to meet the existing energy demand. This paper aims to analyze the most promising regions of the State of Rio de Janeiro for the implementation of wind farms for electricity generation. As an analysis tool, we intend to use the Analytic Hierarchy Process (AHP), due to its practicality, to assist in the state’s wind power atlas regions evaluation, identifying generating farms installation feasibility based on logistical, technical and economic aspects. Three suitable regions for wind farms installation were evaluated according to the following criteria: potencial for generation, land cost, interconnection cost to the grid, implementing zones e terrain-landform logistics. It was found that, for the Serrana Region, it is indicated the installation of a wind farm that operates at 50 meters in height, because it only has enough potential for equipment with this height. In the Lakes Region, it is appropriate to use wind turbines of 75 meters in height, highlighting it as the most promising for this equipment height, besides having the best logistics capacity of the three regions. Because it has a greater potential area than the other, the North Region provides a greater total production, also taking into account its greater efficiency in the aerogenerators to 100 meters of height, considering this region as the most appropriate. It is worth highlighting that, in this region, there is potential for installation in all the heights presented, scrutinizing the results obtained.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0104-530X2020000300210
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2020000300210
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0104-530x4747-20
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 Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
dc.source.none.fl_str_mv Gestão & Produção v.27 n.3 2020
reponame:Gestão & Produção
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Gestão & Produção
collection Gestão & Produção
repository.name.fl_str_mv Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br
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