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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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https://doi.org/10.5194/wes-2019-89
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2019-89
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 04 Dec 2019

Submitted as: research article | 04 Dec 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).

Measuring dynamic wake characteristics with nacelle mounted LiDAR systems

Inga Reinwardt1, Levin Schilling1, Peter Dalhoff1, Dirk Steudel2, and Michael Breuer3 Inga Reinwardt et al.
  • 1Dep. Mechanical Engineering & Production, HAW Hamburg, Berliner Tor 21, D-20099 Hamburg, Germany
  • 2Dep. Turbine Load Calculation, Nordex Energy GmbH, Langenhorner Chaussee 600, D-22419 Hamburg, Germany
  • 3Dep. of Fluid Mechanics, Helmut-Schmidt University Hamburg, Holstenhofweg 85, D-22043 Hamburg, Germany

Abstract. Light Detection And Ranging (LiDAR) systems have gained a great importance in today's wake characteristic measurements. The aim of this measurement campaign is to track the wake meandering and in a further step to validate the wind speed deficit in the meandering frame of reference (MFR) and in the fixed frame of reference using nacelle mounted LiDAR measurements. The measurement campaign has been prepared in detail by preliminary simulations mimicking the LiDAR behavior and corresponding wind field simulations. Additionally, a comparison between the modelled wake degradation in the MFR and the measured one could be conducted. The simulations were done with two different versions of the Dynamic Wake Meandering (DWM) model. These versions differ only in the description of the quasi-steady wake deficit. Based on the findings from the LiDAR measurements the formulation of the quasi-steady wake deficit in the DWM model has been adjusted, so that the recalibrated model coincides very well with the measurements.

Inga Reinwardt et al.
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Inga Reinwardt et al.
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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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