Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3463-2019
https://doi.org/10.5194/amt-12-3463-2019
Research article
 | 
28 Jun 2019
Research article |  | 28 Jun 2019

Automated wind turbine wake characterization in complex terrain

Rebecca J. Barthelmie and Sara C. Pryor

Viewed

Total article views: 2,486 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,294 1,131 61 2,486 67 63
  • HTML: 1,294
  • PDF: 1,131
  • XML: 61
  • Total: 2,486
  • BibTeX: 67
  • EndNote: 63
Views and downloads (calculated since 10 Jan 2019)
Cumulative views and downloads (calculated since 10 Jan 2019)

Viewed (geographical distribution)

Total article views: 2,486 (including HTML, PDF, and XML) Thereof 2,296 with geography defined and 190 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
Wakes are volumes of air with low wind speed that form downwind of wind turbines. Their properties and behaviour determine optimal turbine spacing in wind farms. We use scanning Doppler lidar to accurately and precisely measure wake characteristics at a complex terrain site in Portugal. We develop and apply an automatic processing algorithm to detect wakes and quantify their characteristics. In higher wind speeds, the wake centres are lower. Wake centres are also lower in convective conditions.