Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 10
Articles | Volume 9, issue 10
https://doi.org/10.5194/wes-9-1905-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1905-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 10
Research article
 | 
08 Oct 2024
Research article |  | 08 Oct 2024

Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain

Rachel Robey and Julie K. Lundquist

Viewed

Total article views: 842 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
632 132 78 842 31 27
  • HTML: 632
  • PDF: 132
  • XML: 78
  • Total: 842
  • BibTeX: 31
  • EndNote: 27
Views and downloads (calculated since 22 Feb 2024)
Cumulative views and downloads (calculated since 22 Feb 2024)

Viewed (geographical distribution)

Total article views: 842 (including HTML, PDF, and XML) Thereof 822 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Measurements of wind turbine wakes with scanning lidar instruments contain complex errors. We model lidars in a simulated environment to understand how and why the measured wake may differ from the true wake and validate the results with observational data. The lidar smooths out the wake, making it seem more spread out and the slowdown of the winds less pronounced. Our findings provide insights into best practices for accurately measuring wakes with lidar and interpreting observational data.
Read more
Altmetrics
Final-revised paper
Preprint