Multi-objective calibration of vertical-axis  wind turbine controllers: balancing  aero-servo-elastic performance and noise

Brandetti, Livia; Mulders, Sebastiaan Paul; Merino-Martinez, Roberto; Watson, Simon; van Wingerden, Jan-Willem

doi:https://doi.org/10.5194/wes-9-471-2024

Articles | Volume 9, issue 2

https://doi.org/10.5194/wes-9-471-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-9-471-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 2

Research article

|

01 Mar 2024

Research article |

| 01 Mar 2024

Multi-objective calibration of vertical-axis wind turbine controllers: balancing aero-servo-elastic performance and noise

Livia Brandetti, Sebastiaan Paul Mulders, Roberto Merino-Martinez, Simon Watson, and Jan-Willem van Wingerden

Data sets

Codes, data and plots underlying the publication: Multi-objective calibration of vertical-axis wind turbine controllers: balancing aero-servo-elastic performance and noise, Version 1 Livia Brandetti https://doi.org/10.4121/34b8d260-049a-4f7c-b3cd-60f1f4019696

Short summary

This research presents a multi-objective optimisation approach to balance vertical-axis wind turbine (VAWT) performance and noise, comparing the combined wind speed estimator and tip-speed ratio (WSE–TSR) tracking controller with a baseline. Psychoacoustic annoyance is used as a novel metric for human perception of wind turbine noise. Results showcase the WSE–TSR tracking controller’s potential in trading off the considered objectives, thereby fostering the deployment of VAWTs in urban areas.