Abstract
During January – June 2017 a unique data set of Doppler lidar observations of a single wind turbine wake was collected within the Perdigão flow in complex terrain experiment conducted as part of the New European Wind Atlas. Over the six-month period, over 19,000 10- minute scans comprising a combination of; Arc Scans at ten elevation angles, Vertical Azimuth Display and Range Height Indicator scans were conducted. These data were subsequently analysed using a newly-developed automated wake identification and tracking algorithm. In total, over 1,900 ten-minute periods were identified as ‘wake periods’ by the algorithm, over 1000 with coherent wake centres. For these wakes, the detailed 3D volume of the wake characteristics are examined to assess the impact of different meteorological conditions on the magnitude and recovery of the velocity deficit in coherent wakes as they advect downwind.
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