Articles | Volume 8, issue 2
https://doi.org/10.5194/wes-8-149-2023
https://doi.org/10.5194/wes-8-149-2023
Research article
 | 
09 Feb 2023
Research article |  | 09 Feb 2023

Evaluation of lidar-assisted wind turbine control under various turbulence characteristics

Feng Guo, David Schlipf, and Po Wen Cheng

Viewed

Total article views: 1,958 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,280 639 39 1,958 38 19
  • HTML: 1,280
  • PDF: 639
  • XML: 39
  • Total: 1,958
  • BibTeX: 38
  • EndNote: 19
Views and downloads (calculated since 07 Jul 2022)
Cumulative views and downloads (calculated since 07 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,958 (including HTML, PDF, and XML) Thereof 1,874 with geography defined and 84 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
The benefits of lidar-assisted control are evaluated using both the Mann model and Kaimal model-based 4D turbulence, considering the variation of turbulence parameters. Simulations are performed for the above-rated mean wind speed, using the NREL 5.0 MW reference wind turbine and a four-beam lidar system. Using lidar-assisted control reduces the variations in rotor speed, pitch rate, tower base fore–aft bending moment, and electrical power significantly.
Altmetrics
Final-revised paper
Preprint