Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 3
Articles | Volume 9, issue 3
https://doi.org/10.5194/wes-9-721-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-721-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 3
Research article
 | 
26 Mar 2024
Research article |  | 26 Mar 2024

Dynamic wind farm flow control using free-vortex wake models

Maarten J. van den Broek, Marcus Becker, Benjamin Sanderse, and Jan-Willem van Wingerden

Viewed

Total article views: 1,576 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,298 248 30 1,576 25 22
  • HTML: 1,298
  • PDF: 248
  • XML: 30
  • Total: 1,576
  • BibTeX: 25
  • EndNote: 22
Views and downloads (calculated since 21 Sep 2023)
Cumulative views and downloads (calculated since 21 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,576 (including HTML, PDF, and XML) Thereof 1,533 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Wind turbine wakes negatively affect wind farm performance as they impinge on downstream rotors. Wake steering reduces these losses by redirecting wakes using yaw misalignment of the upstream rotor. We develop a novel control strategy based on model predictions to implement wake steering under time-varying conditions. The controller is tested in a high-fidelity simulation environment and improves wind farm power output compared to a state-of-the-art reference controller.
Read more
Altmetrics
Final-revised paper
Preprint