Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 2
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

Viewed

Total article views: 2,499 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,971 470 58 2,499 67 96
  • HTML: 1,971
  • PDF: 470
  • XML: 58
  • Total: 2,499
  • BibTeX: 67
  • EndNote: 96
Views and downloads (calculated since 30 Nov 2023)
Cumulative views and downloads (calculated since 30 Nov 2023)

Viewed (geographical distribution)

Total article views: 2,499 (including HTML, PDF, and XML) Thereof 2,449 with geography defined and 50 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint