Articles | Volume 2, issue 1
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (17 Feb 2017) by Sandrine Aubrun
AR by Alfredo Peña on behalf of the Authors (17 Feb 2017)  Author's response   Manuscript 
ED: Publish as is (20 Feb 2017) by Sandrine Aubrun
ED: Publish as is (21 Feb 2017) by Gerard J.W. van Bussel (Chief editor)
AR by Alfredo Peña on behalf of the Authors (22 Feb 2017)
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.
Final-revised paper