Multi-lidar wind resource mapping in complex terrain

Menke, Robert; Vasiljević, Nikola; Wagner, Johannes; Oncley, Steven P.; Mann, Jakob

doi:https://doi.org/10.5194/wes-5-1059-2020

Articles | Volume 5, issue 3

https://doi.org/10.5194/wes-5-1059-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Flow in complex terrain: the Perdigão campaigns (WES/ACP/AMT...

https://doi.org/10.5194/wes-5-1059-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 3

Research article

|

24 Aug 2020

Research article |

| 24 Aug 2020

Multi-lidar wind resource mapping in complex terrain

Robert Menke, Nikola Vasiljević, Johannes Wagner, Steven P. Oncley, and Jakob Mann

Download

Final revised paper (published on 24 Aug 2020)
Preprint (discussion started on 28 Nov 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of wes-2019-85', Anonymous Referee #1, 26 Dec 2019
RC2: 'Review WES-2019-85', Anonymous Referee #2, 02 Jan 2020
AC1: 'Reply to Reviewers', Robert Menke, 10 Apr 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Robert Menke on behalf of the Authors (10 Apr 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (24 Apr 2020) by Sandrine Aubrun

RR by Anonymous Referee #1 (26 Apr 2020)

RR by Anonymous Referee #2 (17 May 2020)

ED: Publish subject to minor revisions (review by editor) (27 May 2020) by Sandrine Aubrun

AR by Robert Menke on behalf of the Authors (05 Jun 2020) Author's response Manuscript

ED: Publish as is (25 Jun 2020) by Sandrine Aubrun

ED: Publish as is (25 Jun 2020) by Gerard J.W. van Bussel (Chief editor)

AR by Robert Menke on behalf of the Authors (04 Jul 2020)

Short summary

The estimation of wind resources in complex terrain is challenging as the wind conditions change significantly over short distances, different to flat terrain, where spatial changes are small. We demonstrate in this work that wind lidars can remotely map wind resources over large areas. This will have implications for the planning of wind energy projects and ultimately reduce uncertainties in wind resource estimations in complex terrain, making such areas more interesting for future development.