Turbulence characterization from a forward-looking nacelle lidar

Peña, Alfredo; Mann, Jakob; Dimitrov, Nikolay

doi:https://doi.org/10.5194/wes-2-133-2017

Articles | Volume 2, issue 1

https://doi.org/10.5194/wes-2-133-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/wes-2-133-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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

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Final revised paper (published on 13 Mar 2017)
Preprint (discussion started on 19 Dec 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'paper', Wim Bierbooms, 18 Jan 2017
- AC1: 'Reply to referee 1', Alfredo Peña, 02 Feb 2017
RC2: 'Referee Comments for "Turbulence characterization from a forward-looking nacelle lidar"', Anonymous Referee #2, 24 Jan 2017
- AC2: 'Reply to referee 2', Alfredo Peña, 02 Feb 2017

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.