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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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WES | Articles | Volume 5, issue 2
Wind Energ. Sci., 5, 775–792, 2020
https://doi.org/10.5194/wes-5-775-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 775–792, 2020
https://doi.org/10.5194/wes-5-775-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 19 Jun 2020

Research article | 19 Jun 2020

Dynamic wake meandering model calibration using nacelle-mounted lidar systems

Inga Reinwardt et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Inga Reinwardt on behalf of the Authors (26 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Apr 2020) by Sandrine Aubrun
RR by Helge Aagaard Madsen (28 Apr 2020)
RR by Vasilis Pettas (12 May 2020)
ED: Publish subject to technical corrections (13 May 2020) by Sandrine Aubrun
ED: Publish subject to technical corrections (18 May 2020) by Carlo L. Bottasso(Chief Editor)
AR by Inga Reinwardt on behalf of the Authors (25 May 2020)  Author's response    Manuscript
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Short summary
This study presents a measurement campaign, which consists of two nacelle-mounted lidar systems in a densely packed onshore wind farm. The aim of the campaign is to validate and improve wake models for load and power estimations in wind farms. Based on the findings from the measurements, the formulation of the wake degradation in the dynamic wake meandering model has been adjusted, so that the recalibrated model coincides very well with the measurements and thereby reduces the uncertainties.
This study presents a measurement campaign, which consists of two nacelle-mounted lidar systems...
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