Yaw misalignment is currently being treated as one of the most promising methods for
optimizing the power of wind farms. Therefore, detailed knowledge of the impact of yaw on …

This paper describes an experimental study of the asymmetries and self-similarity/self-
preservation of yawed rotor wakes and the similarity between different yaw angle scenarios …

In this work, we explore the spanwise velocities in the wake of a yawed wind turbine. In the
curled wake model, these motions are induced by a collection of vortices shed from the rotor …

Study of wind farms is an area of active research. Researchers have proposed simplified
wind farm models that define the wake structure in a wind farm and how they affect the …

Wind turbines are typically closely spaced in wind farms, and thus operate in the wake of
upstream turbines and experience power losses. Currently, one of the techniques to reduce …

Low-fidelity engineering wake models are often combined with linear superposition laws to
predict wake velocities across wind farms under steady atmospheric conditions. While …

We develop stochastic dynamical reduced-order models of wind farm turbulence that
capture the effects of yaw misalignment due to control or atmospheric variability on turbine …

An engineering wake model based on the Ainslie model is proposed. The eddy viscosity
term associated with momentum diffusivity is modified to take into account the effects of …

This study proposes a novel machine learning (ML) methodology for the efficient and cost-
effective prediction of high-fidelity three-dimensional velocity fields in the wake of utility …

We present incoming flow characterization of a 2.5​ MW turbine at high spatio-temporal
resolution, using super-large-scale particle image velocimetry (SLPIV). The datasets have a …