Wind Farm and Resource Datasets: A Comprehensive Survey and Overview

Detalhes bibliográficos
Autor(a) principal: Menezes, Diogo
Data de Publicação: 2020
Outros Autores: Mendes, Mateus, Almeida, Jorge Alexandre, Farinha, Torres
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/105928
https://doi.org/10.3390/en13184702
Resumo: The use of clean and renewable energy sources is increasingly important, for economic and environmental reasons. Wind plays a key role among renewable energy sources. Hence, the location, monitoring and maintenance of wind turbines are areas that have received more and more attention in recent years. The paper presents a survey of datasets of wind resources, wind farm installed capacity and wind farm operation, which contain generous amounts of data. Those datasets are important tools, freely available for analysis of wind resources and study of the performance of wind turbines. A short analysis of one of the datasets is also presented, identifying different operational regions, and the ones more likely to aggregate failures. Principal Component Analysis (PCA) is used to study wind turbines’ behavior.
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spelling Wind Farm and Resource Datasets: A Comprehensive Survey and Overviewwind farmwind resourceswind turbine maintenanceThe use of clean and renewable energy sources is increasingly important, for economic and environmental reasons. Wind plays a key role among renewable energy sources. Hence, the location, monitoring and maintenance of wind turbines are areas that have received more and more attention in recent years. The paper presents a survey of datasets of wind resources, wind farm installed capacity and wind farm operation, which contain generous amounts of data. Those datasets are important tools, freely available for analysis of wind resources and study of the performance of wind turbines. A short analysis of one of the datasets is also presented, identifying different operational regions, and the ones more likely to aggregate failures. Principal Component Analysis (PCA) is used to study wind turbines’ behavior.MDPI2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/105928http://hdl.handle.net/10316/105928https://doi.org/10.3390/en13184702eng1996-1073Menezes, DiogoMendes, MateusAlmeida, Jorge AlexandreFarinha, Torresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-15T21:32:15Zoai:estudogeral.uc.pt:10316/105928Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:22:24.950093Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
title Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
spellingShingle Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
Menezes, Diogo
wind farm
wind resources
wind turbine maintenance
title_short Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
title_full Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
title_fullStr Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
title_full_unstemmed Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
title_sort Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
author Menezes, Diogo
author_facet Menezes, Diogo
Mendes, Mateus
Almeida, Jorge Alexandre
Farinha, Torres
author_role author
author2 Mendes, Mateus
Almeida, Jorge Alexandre
Farinha, Torres
author2_role author
author
author
dc.contributor.author.fl_str_mv Menezes, Diogo
Mendes, Mateus
Almeida, Jorge Alexandre
Farinha, Torres
dc.subject.por.fl_str_mv wind farm
wind resources
wind turbine maintenance
topic wind farm
wind resources
wind turbine maintenance
description The use of clean and renewable energy sources is increasingly important, for economic and environmental reasons. Wind plays a key role among renewable energy sources. Hence, the location, monitoring and maintenance of wind turbines are areas that have received more and more attention in recent years. The paper presents a survey of datasets of wind resources, wind farm installed capacity and wind farm operation, which contain generous amounts of data. Those datasets are important tools, freely available for analysis of wind resources and study of the performance of wind turbines. A short analysis of one of the datasets is also presented, identifying different operational regions, and the ones more likely to aggregate failures. Principal Component Analysis (PCA) is used to study wind turbines’ behavior.
publishDate 2020
dc.date.none.fl_str_mv 2020
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.uri.fl_str_mv http://hdl.handle.net/10316/105928
http://hdl.handle.net/10316/105928
https://doi.org/10.3390/en13184702
url http://hdl.handle.net/10316/105928
https://doi.org/10.3390/en13184702
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1996-1073
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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