05 Jul 2022
05 Jul 2022
Status: this preprint is currently under review for the journal WES.

Deriving atmospheric turbulence intensity from profiling pulsed lidar measurements

Maxime Thiébaut1, Marie Cathelain1, Salma Yahiaoui2, and Ahmed Esmail3 Maxime Thiébaut et al.
  • 1France Énergies Marines, Technopôle Brest-Iroise, 525 Avenue Alexis de Rochon, 29280 Plouzané, France
  • 2Vaisala France SAS, 6A, rue René Razel, Tech Park, CS 70001, 91400 Saclay Cedex, France
  • 3GL Garrad Hassan Deutschland GmbH, Loads & Power Performance & Wind Resource (E-NX-RL), Sommerdeich 14b, 25709 Kaiser-Wilhelm-Koog, Germany

Abstract. A new method is proposed to provide estimates of the turbulence intensity (TI) from measurements of pulsed lidars (light detection and ranging) employing the Doppler beam swinging technique. This method relies on combining the variances of the line-of-sight (LOS) velocities collected by the five independent beams of the lidars and, as such, is referred to as the variance method. The variance method comes with an explicit removal of the Doppler noise (inherent to the instrument) to the variance of the LOS velocities. Turbulence metrics derived from the variance method are compared to that derived from a standard method, commonly used in the wind energy industry. Reference turbulence measurements are provided by a sonic anemometer mounted on a meteorological mast, installed nearby the lidars. Two configurations of the WindCube v2.1 lidars are proposed: the commercial configuration and a prototype configuration, sampling 4 times faster, thus allowing to capture the turbulent energy of smaller eddies. The standard method applied on wind measurements collected by both configurations shows mean errors in TI estimates of more than 50 %. The application of the variance method on measurements collected by the commercial and prototype configuration drops the mean error to 16.7 % and 13.2 % respectively.

Maxime Thiébaut et al.

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Maxime Thiébaut et al.

Maxime Thiébaut et al.


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Short summary
The characterization of the turbulence intensity (TI) from profiling lidars measurements is still an active area of research. In this paper, a new method is proposed to derive TI from a WindCube v2.1 lidar. The new method allows for a reduction of TI estimation by a factor of more than 3 in comparison to a method commonly used in the wind energy industry. Moreover, a new configuration of WindCube v2.1 with a sampling rate four times higher than that of the commercial lidar is presented.