The dynamics of the turbulent atmospheric boundary layer play a fundamental role in wind
farm energy production, governing the velocity field that enters the farm as well as the …

Wind direction variability significantly affects the performance and lifetime of wind turbines
and wind farms. Accurately modelling wind direction variability and understanding the …

This paper presents a graph‐based dynamic yaw model to predict the dynamic response of
the hub‐height velocities and the power of a wind farm to a change in yaw. The model builds …

A novel dynamic economic model-predictive control strategy is presented that improves
wind farm power production and reduces the additional demands of wake steering on yaw …

Powered parafoils are flexible aircraft with high load capacities and low costs and are often
used in long-term surveillance and airdrop missions. As a flexible aircraft, powered parafoil …

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

Low-fidelity analytical models of turbine wakes have traditionally been used for wind farm
planning, performance evaluation, and demonstrating the utility of advanced control …

As the interest in reducing carbon emissions continues, wind energy has become a
prominent component of a carbon-free electrical supply. However, as wind continues to …

In this thesis, we present a distributed reinforcement learning framework for wind farm
energy capture maximization using yaw control, also known as wake steering. Specifically …

A wind direction numerical simulation algorithm based on wind vector correlation and two-
dimensional spatial neural networks is proposed to achieve accurate numerical simulation …