Analysis and calibration of optimal power balance rotor-effective wind speed estimation schemes for large-scale wind turbines

Pamososuryo, Atindriyo Kusumo; Spagnolo, Fabio; Mulders, Sebastiaan Paul

doi:https://doi.org/10.5194/wes-10-987-2025

Articles | Volume 10, issue 5

https://doi.org/10.5194/wes-10-987-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-10-987-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 5

Research article

|

28 May 2025

Research article |

| 28 May 2025

Analysis and calibration of optimal power balance rotor-effective wind speed estimation schemes for large-scale wind turbines

Atindriyo Kusumo Pamososuryo, Fabio Spagnolo, and Sebastiaan Paul Mulders

Data sets

Analysis and calibration of optimal power balance rotor-effective wind speed estimation schemes for large-scale wind turbines – Code and Data A. K. Pamososuryo et al. https://doi.org/10.5281/zenodo.15491426

Model code and software

Analysis and calibration of optimal power balance rotor-effective wind speed estimation schemes for large-scale wind turbines – Code and Data A. K. Pamososuryo et al. https://doi.org/10.5281/zenodo.15491426

Short summary

As wind turbines grow in size, measuring wind speed accurately becomes challenging, impacting their performance. Traditional sensors cannot capture wind variations across large rotor areas. To address this, a new method is developed to estimate wind speed accurately, accounting for these variations. Using mid-fidelity simulations, our approach showed better tracking, better noise resilience, and easy tuning for different turbine sizes.