Articles | Volume 2, issue 1
https://doi.org/10.5194/wes-2-133-2017
https://doi.org/10.5194/wes-2-133-2017
Research article
 | 
13 Mar 2017
Research article |  | 13 Mar 2017

Turbulence characterization from a forward-looking nacelle lidar

Alfredo Peña, Jakob Mann, and Nikolay Dimitrov

Viewed

Total article views: 3,727 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,026 1,571 130 3,727 156 110
  • HTML: 2,026
  • PDF: 1,571
  • XML: 130
  • Total: 3,727
  • BibTeX: 156
  • EndNote: 110
Views and downloads (calculated since 19 Dec 2016)
Cumulative views and downloads (calculated since 19 Dec 2016)

Viewed (geographical distribution)

Total article views: 3,727 (including HTML, PDF, and XML) Thereof 3,360 with geography defined and 367 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jul 2024
Download
Short summary
Nacelle lidars are nowadays extensively used to scan the turbine inflow. Thus, it is important to characterize turbulence from their measurements. We present two methods to perform turbulence estimation and demonstrate them using two types of lidars. With one method we can estimate the along-wind unfiltered variance accurately. With the other we can estimate the filtered radial velocity variance accurately and velocity-tensor parameters under neutral and high wind-speed conditions.
Altmetrics
Final-revised paper
Preprint