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Wind Turbine Geometrical and Operation Variables Reconstruction from Blade Acceleration Measurements

Title
Wind Turbine Geometrical and Operation Variables Reconstruction from Blade Acceleration Measurements
Type
Article in International Scientific Journal
Year
2024
Authors
Pimenta, F
(Author)
Other
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Moutinho, C
(Author)
Other
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Magalhães, F.
(Author)
FEUP
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Journal
Title: EnergiesImported from Authenticus Search for Journal Publications
Vol. 17
Final page: 229
ISSN: 1996-1073
Publisher: MDPI
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00Z-RKX
Abstract (EN): To develop reliable numerical models and better interpret monitoring campaigns experimental data of wind turbines, knowing the structure operation conditions, in particular the rotor angular velocity and blades' pitch angle, is of paramount importance, but often not known due to confidentiality restrictions, or known with low time resolution (typically 10 min average values). In this work, it is shown analytically that blades accelerations measurements contain valuable information that allow for a better characterisation of the effective rotor shaft tilt and blades cone angle for different operating conditions. It is also shown that these measurements can be used to reconstruct the time history of the rotor angular velocity and blades' pitch angle. After presented in an analytical framework, the methodology is validated with experimental data of two full scale wind turbines. The successful reconstruction of the rotor operating conditions shows that the method presented can be used to provide further insight into the dynamics of the structure that aids monitoring data analysis and provides an alternative method to monitor the SCADA systems themselves. The paper combines quite unique experimental data collected at two operating rotors with original data processing strategies that provide very valuable information to researchers and wind turbine operators.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 13
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