Multi-criteria assessment of potential regions for wind power generation in the State of Rio de Janeiro
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1750118207252856832 |