Development of a wireless, non-intrusive, MEMS-based pressure and acoustic measurement system for large-scale operating wind turbine blades

Barber, Sarah; Deparday, Julien; Marykovskiy, Yuriy; Chatzi, Eleni; Abdallah, Imad; Duthé, Gregory; Magno, Michele; Polonelli, Tommaso; Fischer, Raphael; Müller, Hanna

doi:https://doi.org/10.5194/wes-7-1383-2022

Articles | Volume 7, issue 4

https://doi.org/10.5194/wes-7-1383-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-1383-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 4

Research article

|

08 Jul 2022

Research article |

| 08 Jul 2022

Development of a wireless, non-intrusive, MEMS-based pressure and acoustic measurement system for large-scale operating wind turbine blades

Sarah Barber, Julien Deparday, Yuriy Marykovskiy, Eleni Chatzi, Imad Abdallah, Gregory Duthé, Michele Magno, Tommaso Polonelli, Raphael Fischer, and Hanna Müller

Model code and software

Aerosense Digital Twin tools Thomas Clark, Sarah Barber, Julien Deparday, Yuriy Marykovskiy, Eleni Chatzi, Imad Abdallah, Gregory Duthé, Michele Magno, Tommaso Polonelli, Raphael Fischer, and Hanna Müller https://github.com/aerosense-ai

Short summary

Aerodynamic and acoustic field measurements on operating large-scale wind turbines are key for the further reduction in the costs of wind energy. In this work, a novel cost-effective MEMS (micro-electromechanical systems)-based aerodynamic and acoustic wireless measurement system that is thin, non-intrusive, easy to install, low power and self-sustaining is designed and tested.