Abstract
Aerodynamic wake interactions between turbines located in wind power plants cause both a loss in power production and an increase in fatigue loading of the wind farm turbines. Yaw induced active wake deflection is one possible wind farm control strategy, which can be applied to mitigate wake effects on nearby downstream located wind turbines. In the present study three flow models of different fidelities are applied to mimic a full-scale study of wake deflection recorded by an advanced synchronised setup of two long-range pulsed scanning lidars. The investigated case studies encompass a base case with (approximately) zero yaw setting supplemented by two non-zero yaw cases of 17.5° and -14.5°, respectively. The model results are compared mutually as well as with the result of the full-scale measurement campaign.
Highlights
Aerodynamic wake interactions between turbines located in wind power plants cause both a loss in power production and an increase in fatigue loading of the wind farm turbines
A popular strategy used for wind farm control is based on active WT yaw control, where the wake is deflected with the purpose of mitigating wake effects on nearby downstream located wind turbines
We compare predictions from three models - of various fidelities - with reconstructed flow fields based on a dedicated lidar campaign using two long range lidars operated in dual-Doppler mode
Summary
Aerodynamic wake interactions between turbines located in wind power plants (WPPs) can cause both a loss in power production and an increase in fatigue loading. Yaw induced active wake deflection is one possible wind farm control strategy, which can be applied to mitigate wake effects on nearby downstream located wind turbines. The present study focuses on the fluid mechanics relationship between the aerodynamics of a yawed rotor and the downstream deflection of the wake pattern, conditioned on the undisturbed inflow mean wind speed and turbulence intensity.
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