LAPSE:2023.26334
Published Article

LAPSE:2023.26334
Wind Farm and Resource Datasets: A Comprehensive Survey and Overview
April 3, 2023
Abstract
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.
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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Keywords
wind farm, wind resources, wind turbine maintenance
Subject
Suggested Citation
Menezes D, Mendes M, Almeida JA, Farinha T. Wind Farm and Resource Datasets: A Comprehensive Survey and Overview. (2023). LAPSE:2023.26334
Author Affiliations
Menezes D: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal
Mendes M: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal; Institute of Systems and Robotics, University of Coimbra—ISR, DEEC, 3030-290 Coimbra, Portugal [ORCID]
Almeida JA: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal; Electromechatronic Systems Research Centre, University Beira Interior, 6201-001 Covilhã, Portugal [ORCID]
Farinha T: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal; Centre for Mechanical Engineering, Materials and Processes, 3030-788 Coimbra, Portugal [ORCID]
Mendes M: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal; Institute of Systems and Robotics, University of Coimbra—ISR, DEEC, 3030-290 Coimbra, Portugal [ORCID]
Almeida JA: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal; Electromechatronic Systems Research Centre, University Beira Interior, 6201-001 Covilhã, Portugal [ORCID]
Farinha T: Polythecnic Institute of Coimbra—ISEC, 3030-199 Coimbra, Portugal; Centre for Mechanical Engineering, Materials and Processes, 3030-788 Coimbra, Portugal [ORCID]
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4702
Year
2020
Publication Date
2020-09-09
ISSN
1996-1073
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Original Submission
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PII: en13184702, Publication Type: Journal Article
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LAPSE:2023.26334
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https://doi.org/10.3390/en13184702
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Apr 3, 2023
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