Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic
Volume 2, issue 1
Wind Energ. Sci., 2, 133–152, 2017
https://doi.org/10.5194/wes-2-133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Wind Energ. Sci., 2, 133–152, 2017
https://doi.org/10.5194/wes-2-133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Mar 2017

Research article | 13 Mar 2017

Turbulence characterization from a forward-looking nacelle lidar

Alfredo Peña et al.

Download

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)
Publications Copernicus
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.
Nacelle lidars are nowadays extensively used to scan the turbine inflow. Thus, it is important...
Citation