Horizontal Axis Turbine Wake Measurements Using Unmanned Aerial Vehicles
ORAL
Abstract
We use up to four highly instrumented, semi-autonomous unmanned aerial vehicles (UAVs) to measure the wakes shed by operational horizontal axis wind turbines during a one-week measurement campaign conducted at a line of four turbines located in a wind farm in Southern Ontario, Canada. During this campaign we investigated both the evolution of the wakes during a morning boundary layer evolution, and under the effects of wake steering. For the wake steering experiments, one turbine was yawed by 30 degrees with respect to the mean wind. In this talk, we will present results from the UAVs, which acquired horizontal wind velocity profiles across the turbine wakes at hub height, and with 0.3 m horizontal resolution. We also relate these wake measurements with Supervisory Control and Data Acquisition (SCADA) and tower strain data acquired concurrently to the measurements.
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Authors
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Stewart Nelson
University of Kentucky
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Christopher Heintz
University of Kentucky
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Luke Norman
University of Windsor
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Rupp Carriveau
University of Windsor
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Sean Bailey
University of Kentucky