Download the poster windeurope.org/tech2021 #WindTech21 H = 100m H = 142m V2_FCR ZX V2 V1 Figure 2 shows a comparison of wind speed measurements between lidar systems and meteorological mast for two measurement heights. Devices with similar measurement strategies have little difference in the calculated linear regression. For the higher altitude, R2 improves between 0.04 - 0.1 for all devices. The influence of the flow correction FCR is negligible. Statistical comparison of the lidar measurement error of different wind lidar profilers in complex terrain Martin Hofsäß1, Oliver Bischoff1, Doron Callies2, Dominic Clement2, Tobias Klaas-Witt2, Carolin Schmitt3, Po Wen Cheng1 1Stuttgart Wind Energy (SWE), University of Stuttgart, Germany; 2Fraunhofer IEE, Kassel, Germany; 3EnBW, Stuttgart, Germany PO.158 Replace with QR code Replace with QR code 1. Klaas, Tobias; Emeis, Stefan (2021): The five main influencing factors on lidar errors in complex terrain 2. Hofsäß, Martin; Clifton, Andrew; Cheng, Po (2018): Reducing the Uncertainty of Lidar Measurements in Complex Terrain Using a Linear Model Approach. In: Remote Sensing 10 (9), S. 1465 3. Bradley, Stuart; Strehz, Alexander; Emeis, Stefan (2015): Remote sensing winds in complex terrain - a review. In: Meteorologische Zeitschrift (24) Measurement campaign • 29.03.2022 – 07.08.2022 • Meteorological mast top height 142 𝑚 • Windcube V2 FCR • Windcube V1 • Zephir ZX300 This section shows the relative lidar error per wind direction sector. The error varies, among other things, over the direction due to the complexity of the terrain. Based on the results obtained so far, the following can be concluded: With some small offset, all instruments show a similar pattern of relative error with respect to wind direction. The relative error differs in absolute values but not in the variation over the altitude. Abstract/Problem description Results #3 Wind direction-wise lidar error Results #1 Comparison of the linear regression Summary & Outlook Measurement campaign setup + site characteristics Acknowledgments & References This work was part of the research project “LoTar” which was funded by the German Ministry for Economic Affairs and Climate Action under the code number 03EE3052. Results #2 Wind speed-wise lidar error The evaluations in this work show that there can be differences in the determination of wind conditions in complex terrain between lidar devices of different type. However, our findings are based on only one measurement campaign. Currently, data from another measurement campaign with the same lidar devices at a different location are being evaluated. Figure 1: (a) View of the measurement setup from north to south; (b) site topography with isohypses; (c) sector-wise wind conditions of the filtered data. Figure 3 shows the relative lidar error versus wind speed. The relative lidar error is calculated for each lidar system for every wind speed bin with the following equation: Figure 4: Comparison of the mean relative lidar error over the wind direction for a 10°sector width. The meteorological mast is used as reference system. The coloured area along the lines represents the standard deviation. Figure 3: Comparison of mean relative lidar error over horizontal wind speed. The measuring mast is used as the reference system. The coloured area represents the standard deviation. In flat terrain with homogeneous flow conditions, the so called lidar measurement error of commercial lidar profilers is usually negligible for the determination of the 10-minute mean wind speed and wind direction. However, in complex terrain with inhomogeneous flow, this is different and may result in a lidar measurement error. The influence of different measurement strategies or devices on the lidar error in complex terrain has not yet been systematically investigated. Within the framework of the LoTar project, this question is being investigated in the course of several measurement campaigns. The challenge of