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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 10, issue 1
Adv. Sci. Res., 10, 71–75, 2013
https://doi.org/10.5194/asr-10-71-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Sci. Res., 10, 71–75, 2013
https://doi.org/10.5194/asr-10-71-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 May 2013

30 May 2013

Measurement procedures for characterization of wind turbine wakes with scanning Doppler wind LiDARs

G. V. Iungo and F. Porté-Agel G. V. Iungo and F. Porté-Agel
  • Wind Engineering and Renewable Energy Laboratory (WIRE), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Abstract. The wake flow produced from an Enercon E-70 wind turbine is investigated through three scanning Doppler wind LiDARs. One LiDAR is deployed upwind to characterize the incoming wind, while the other two LiDARs are located downstream to carry out wake measurements. The main challenge in performing measurements of wind turbine wakes is represented by the varying wind conditions, and by the consequent adjustments of the turbine yaw angle needed to maximize power production. Consequently, taking into account possible variations of the relative position between the LiDAR measurement volume and wake location, different measuring techniques were carried out in order to perform 2-D and 3-D characterizations of the mean wake velocity field. However, larger measurement volumes and higher spatial resolution require longer sampling periods; thus, to investigate wake turbulence tests were also performed by staring the LiDAR laser beam over fixed directions and with the maximum sampling frequency. The characterization of the wake recovery along the downwind direction is performed. Moreover, wake turbulence peaks are detected at turbine top-tip height, which can represent increased fatigue loads for downstream wind turbines within a wind farm.

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