Data and code underlying the publication "Mitigating cluster wake induced power-losses at neighboring farms through cluster-wide coordinated control"

This dataset accompanies the study<em> "Mitigating cluster wake induced power-losses at neighboring farms through cluster-wide coordinated control"</em> and contains the numerical simulation data generated using Large Eddy Simulations in the open source code TOSCA. It was used to explore the potential of active cluster wake control (ACWC) strategies in large wind farms to mitigate cluster wake-induced power losses at a downstream farm under conventionally neutral atmospheric conditions. ACWC describes a novel technique in which the turbines are subordinated to a farm-wide control pattern that allows control of the flow at the length scale of the entire farm, giving control authority over global blockage and cluster wakes. The data were generated using large-eddy simulations of idealized wind farm configurations with various ACWC forcing patterns and include time-resolved and statistically averaged flow-field quantities, turbine operating data, and derived performance metrics. Furthermore, it contains the source code and the necessary data for a wind farm power estimator based on the two-scaled momentum theory developed for that purpose.<br>