Automated wind turbine wake characterization in complex terrain

Barthelmie, Rebecca J.; Pryor, Sara C.

doi:https://doi.org/10.5194/amt-12-3463-2019

Articles | Volume 12, issue 6

https://doi.org/10.5194/amt-12-3463-2019

© Author(s) 2019. 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/amt-12-3463-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 6

Research article

|

28 Jun 2019

Research article |

| 28 Jun 2019

Automated wind turbine wake characterization in complex terrain

Rebecca J. Barthelmie and Sara C. Pryor

Download

Final revised paper (published on 28 Jun 2019)
Preprint (discussion started on 10 Jan 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of the manuscript amt-2018-461', Anonymous Referee #1, 14 Feb 2019
- AC1: 'Response to reviewer #1', R.J. Barthelmie, 02 Apr 2019
RC2: 'Review of amt-2018-461', Anonymous Referee #2, 12 Mar 2019
- AC2: 'Response to reviewer #2', R.J. Barthelmie, 02 Apr 2019
RC3: 'Review of « Automated Wind Turbine Wake Characterization in Complex Terrain » by R. J. Barthelmie and S. C. Pyror', Anonymous Referee #3, 17 Apr 2019
- AC3: 'Response to reviewer 3', R.J. Barthelmie, 25 Apr 2019

Peer-review completion

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

AR by Rebecca Barthelmie on behalf of the Authors (07 May 2019) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (28 May 2019) by Jose Laginha Palma

AR by Rebecca Barthelmie on behalf of the Authors (01 Jun 2019) Author's response Manuscript

ED: Publish as is (04 Jun 2019) by Jose Laginha Palma

AR by Rebecca Barthelmie on behalf of the Authors (06 Jun 2019) Author's response Manuscript

Short summary

Wakes are volumes of air with low wind speed that form downwind of wind turbines. Their properties and behaviour determine optimal turbine spacing in wind farms. We use scanning Doppler lidar to accurately and precisely measure wake characteristics at a complex terrain site in Portugal. We develop and apply an automatic processing algorithm to detect wakes and quantify their characteristics. In higher wind speeds, the wake centres are lower. Wake centres are also lower in convective conditions.