Abstract
Wake Redirection Control due to intentional yaw misalignment is a promising method to enhance power yield at wind farm level. A turbine misaligned with the inflow wind produces a curled wake shape, which is currently not accounted for in wake tracking algorithms. This study proposes a new 2D wake description specifically designed to account for the non-elliptic shape of the redirected wake. The performance of this new method is evaluated by employing a Large Eddy Simulation model at different atmospheric stratifications. A comparison with traditionally used approaches indicates an improvement in describing wake shape and center position, and consequently a significantly higher accuracy in the power estimation of a virtual downstream turbine. A brief outlook suggests that this wake tracking algorithm is suited to study the effect of the most influential atmospheric and operational parameters on wake propagation under yaw misalignment and the development of a physically based empirical wake parameterization.
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