Factors that influence the performance of wind farms
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/32979 |
Resumo: | This article aims to identify the conditioning factors that influence the operation and maintenance performance of wind farms. The research method included theoretical research and case studies in seven companies that own wind farms. Theoretical research covered the following themes: performance management process; performance measurement in power plants, highlighting the factors that affect performance in this type of industry, and; the characteristics of the Brazilian wind energy market. The case studies were conducted through interviews with managers, whose positions are at the strategic, tactical and operational levels, with the objective of identify the performance management processes existing in wind farms. As a result, it was verified that the performance of wind farms is mainly influenced by 5 factors: (1) Reliability of prospecting studies, (2) Construction quality and assembly, (3) Organizational learning, and (5) Coordination of the value chain |
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Santos, Marllen Aylla Teixeira dosGonzález, Mario Orestes Aguirre2021-08-03T19:23:49Z2021-08-03T19:23:49Z2019-05SANTOS, Marllen; GONZÁLEZ, Mario. Factors that influence the performance of wind farms. Renewable Energy, [S.L.], v. 135, p. 643-651, maio 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0960148118314642?via%3Dihub#!. Acesso em: 29 abr. 2021. https://doi.org/10.1016/j.renene.2018.12.033.0960-1481https://repositorio.ufrn.br/handle/123456789/3297910.1016/j.renene.2018.12.033ElsevierAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessWind farmWind energyPerformance conditioning factorsOperation and maintenanceFactors that influence the performance of wind farmsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis article aims to identify the conditioning factors that influence the operation and maintenance performance of wind farms. The research method included theoretical research and case studies in seven companies that own wind farms. Theoretical research covered the following themes: performance management process; performance measurement in power plants, highlighting the factors that affect performance in this type of industry, and; the characteristics of the Brazilian wind energy market. The case studies were conducted through interviews with managers, whose positions are at the strategic, tactical and operational levels, with the objective of identify the performance management processes existing in wind farms. As a result, it was verified that the performance of wind farms is mainly influenced by 5 factors: (1) Reliability of prospecting studies, (2) Construction quality and assembly, (3) Organizational learning, and (5) Coordination of the value chainengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALFactorsInfluencePerformance_Gonzalez_2019.pdfFactorsInfluencePerformance_Gonzalez_2019.pdfapplication/pdf908992https://repositorio.ufrn.br/bitstream/123456789/32979/1/FactorsInfluencePerformance_Gonzalez_2019.pdff406b69bf4ce6456509351445426fadeMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/32979/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/32979/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/329792021-08-03 16:23:49.766oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-08-03T19:23:49Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Factors that influence the performance of wind farms |
title |
Factors that influence the performance of wind farms |
spellingShingle |
Factors that influence the performance of wind farms Santos, Marllen Aylla Teixeira dos Wind farm Wind energy Performance conditioning factors Operation and maintenance |
title_short |
Factors that influence the performance of wind farms |
title_full |
Factors that influence the performance of wind farms |
title_fullStr |
Factors that influence the performance of wind farms |
title_full_unstemmed |
Factors that influence the performance of wind farms |
title_sort |
Factors that influence the performance of wind farms |
author |
Santos, Marllen Aylla Teixeira dos |
author_facet |
Santos, Marllen Aylla Teixeira dos González, Mario Orestes Aguirre |
author_role |
author |
author2 |
González, Mario Orestes Aguirre |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Santos, Marllen Aylla Teixeira dos González, Mario Orestes Aguirre |
dc.subject.por.fl_str_mv |
Wind farm Wind energy Performance conditioning factors Operation and maintenance |
topic |
Wind farm Wind energy Performance conditioning factors Operation and maintenance |
description |
This article aims to identify the conditioning factors that influence the operation and maintenance performance of wind farms. The research method included theoretical research and case studies in seven companies that own wind farms. Theoretical research covered the following themes: performance management process; performance measurement in power plants, highlighting the factors that affect performance in this type of industry, and; the characteristics of the Brazilian wind energy market. The case studies were conducted through interviews with managers, whose positions are at the strategic, tactical and operational levels, with the objective of identify the performance management processes existing in wind farms. As a result, it was verified that the performance of wind farms is mainly influenced by 5 factors: (1) Reliability of prospecting studies, (2) Construction quality and assembly, (3) Organizational learning, and (5) Coordination of the value chain |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019-05 |
dc.date.accessioned.fl_str_mv |
2021-08-03T19:23:49Z |
dc.date.available.fl_str_mv |
2021-08-03T19:23:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SANTOS, Marllen; GONZÁLEZ, Mario. Factors that influence the performance of wind farms. Renewable Energy, [S.L.], v. 135, p. 643-651, maio 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0960148118314642?via%3Dihub#!. Acesso em: 29 abr. 2021. https://doi.org/10.1016/j.renene.2018.12.033. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/32979 |
dc.identifier.issn.none.fl_str_mv |
0960-1481 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.renene.2018.12.033 |
identifier_str_mv |
SANTOS, Marllen; GONZÁLEZ, Mario. Factors that influence the performance of wind farms. Renewable Energy, [S.L.], v. 135, p. 643-651, maio 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0960148118314642?via%3Dihub#!. Acesso em: 29 abr. 2021. https://doi.org/10.1016/j.renene.2018.12.033. 0960-1481 10.1016/j.renene.2018.12.033 |
url |
https://repositorio.ufrn.br/handle/123456789/32979 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
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Universidade Federal do Rio Grande do Norte (UFRN) |
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UFRN |
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UFRN |
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Repositório Institucional da UFRN |
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