Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic
WES | Articles | Volume 4, issue 2
Wind Energ. Sci., 4, 287–302, 2019
https://doi.org/10.5194/wes-4-287-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 4, 287–302, 2019
https://doi.org/10.5194/wes-4-287-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 May 2019

Research article | 22 May 2019

Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm

Thomas Duc 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
AR by Thomas Duc on behalf of the Authors (07 Jan 2019)  Author's response
ED: Referee Nomination & Report Request started (25 Jan 2019) by Raúl Bayoán Cal
RR by Anonymous Referee #1 (22 Feb 2019)
RR by Anonymous Referee #2 (27 Feb 2019)
ED: Publish subject to minor revisions (review by editor) (05 Mar 2019) by Raúl Bayoán Cal
AR by Thomas Duc on behalf of the Authors (11 Mar 2019)  Author's response    Manuscript
ED: Publish as is (19 Mar 2019) by Raúl Bayoán Cal
ED: Publish as is (07 Apr 2019) by Jakob Mann(Chief Editor)
Publications Copernicus
Download
Short summary
Wind turbine wake recovery is very sensitive to ambient atmospheric conditions. This paper presents a way of including a local turbulence intensity estimation from SCADA into the Jensen wake model to improve its accuracy. This new model procedure is used to optimize power production of an operating wind farm and shows that some gains can be expected even if uncertainties remain high. These optimized settings are to be implemented in a field test campaign in the scope of the SMARTEOLE project.
Wind turbine wake recovery is very sensitive to ambient atmospheric conditions. This paper...
Citation