Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2020 |
| Outros Autores: | , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | https://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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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/articlehttps://hdl.handle.net/10316/105928https://hdl.handle.net/10316/105928https://doi.org/10.3390/en13184702eng1996-1073Menezes, DiogoMendes, MateusAlmeida, Jorge AlexandreFarinha, Torresinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-01T09:53:46Zoai:estudogeral.uc.pt:10316/105928Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:56:21.208278Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| 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 |
https://hdl.handle.net/10316/105928 https://hdl.handle.net/10316/105928 https://doi.org/10.3390/en13184702 |
| url |
https://hdl.handle.net/10316/105928 https://doi.org/10.3390/en13184702 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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1996-1073 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
MDPI |
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MDPI |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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