Analysis of control-oriented wake modeling tools  using lidar field results

Annoni, Jennifer; Fleming, Paul; Scholbrock, Andrew; Roadman, Jason; Dana, Scott; Adcock, Christiane; Porte-Agel, Fernando; Raach, Steffen; Haizmann, Florian; Schlipf, David

doi:https://doi.org/10.5194/wes-3-819-2018

Articles | Volume 3, issue 2

https://doi.org/10.5194/wes-3-819-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-3-819-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 2

Research article

|

01 Nov 2018

Research article |

| 01 Nov 2018

Analysis of control-oriented wake modeling tools using lidar field results

Jennifer Annoni, Paul Fleming, Andrew Scholbrock, Jason Roadman, Scott Dana, Christiane Adcock, Fernando Porte-Agel, Steffen Raach, Florian Haizmann, and David Schlipf

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Final revised paper (published on 01 Nov 2018)
Preprint (discussion started on 08 Feb 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee Comments', Anonymous Referee #1, 05 Apr 2018
RC2: 'Review', Anonymous Referee #2, 17 Apr 2018
AC1: 'Response to Reviewers', Jennifer Annoni, 01 May 2018

Peer-review completion

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

AR by Jennifer King on behalf of the Authors (03 May 2018) Manuscript

ED: Referee Nomination & Report Request started (23 May 2018) by Raúl Bayoán Cal

RR by Anonymous Referee #1 (12 Jul 2018)

RR by Anonymous Referee #2 (27 Aug 2018)

ED: Publish subject to minor revisions (review by editor) (02 Sep 2018) by Raúl Bayoán Cal

AR by Jennifer King on behalf of the Authors (11 Sep 2018) Manuscript

ED: Publish as is (25 Sep 2018) by Raúl Bayoán Cal

ED: Publish as is (29 Sep 2018) by Joachim Peinke (Chief editor)

AR by Jennifer King on behalf of the Authors (04 Oct 2018) Manuscript

Short summary

This paper addresses the modeling aspect of wind farm control. To implement successful wind farm controls, a suitable model has to be used that captures the relevant physics. This paper addresses three different wake models that can be used for controls and compares these models with lidar field data from a utility-scale turbine.