Abstract
During the intensive period (May-June 2017) of the Perdigäo experiment, three sets of Doppler lidar were operated to scan the wake of the wind turbine (WT) on the southwest ridge. CU operated a Doppler scanning lidar in the valley bottom approximately 1 km northeast of the WT and conducted multiple arc scans and two RHI scans every 10-minutes centred on the WT. DTU used a dual Doppler lidar system scanning almost horizontally from the northeast ridge. Two of the three DLR lidars were in-plane with the WT for the main wind direction, one in the valley and one on the distant mountain ridge. The third DLR lidar was on the southwest ridge. All three systems (CU, DTU and DLR) were operated such that in data processing vertical and/or horizontal profiles of the wake can be derived at different distances from the WT. The paper describes the strategies used to scan the wake by the three groups and compares wake characteristics derived from the different systems.
Highlights
Power losses and enhanced loads due to wind farm wakes are typically largest in offshore wind farms [1, 2]
The wake centre locations determined from the CU scans sampled to retrieve wake locations on a horizontal plane at wind turbine hub-height (WTHH) and following the wake at discrete distances downstream indicate some differences in terms of the wake location
Summary and future work The Perdigão experiment has presented one of the first opportunities to measure wind turbine (WT) wakes with lidar in highly complex terrain and to investigate the benefits of integrating data from different lidar and scanning strategies. While this has proved complicated, due in part to logistical issues that reduced the availability of some scans during the intensive operating phase (IOP), there are obvious advantages to be gained from integrating the scans
Summary
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment Norman Wildmann, Stephan Kigle and Thomas Gerz. - Large-Eddy Simulation of turbine wake in complex terrain J. - Stability Impact on Wake Development in Moderately Complex Terrain D Infield and G Zorzi
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