Wind Turbine Geometrical and Operation Variables Reconstruction from Blade Acceleration Measurements

Francisco Pimenta, Carlos Moutinho and Filipe Magalhães ()
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Francisco Pimenta: Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
Carlos Moutinho: Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
Filipe Magalhães: Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal

Energies, 2023, vol. 17, issue 1, 1-13

Abstract: 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.

Keywords: blades measurements; rotor characterisation; SCADA data; MEMS acceleration sensors (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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