Wind Tunnel Benchmark Dataset for Wind Farm Control Strategies on a Three-Turbine Farm

Description This repository provides an open experimental benchmark dataset obtained from an extensive wind tunnel campaign focused on wind farm control. The campaign consists of 1650 controlled experiments conducted on a three-turbine scaled wind farm under steady wind direction conditions. The dataset aims to support the development and validation of next-generation wind farm control strategies. Control strategies investigated The experimental campaign includes: wake steering (yaw-based control) curtailment strategies derating strategies pulse control helix control dynamic yaw control individual pitch control combinations of wake steering with derating, curtailment, Helix, and dyanamic yaw The dataset enables systematic comparison between control approaches across a large number of repeatable experiments. Measurements included Each NetCDF file includes: Wind tunnel reference signalsTurbine operational signals and control inputsPower productionHigh-frequency turbine loadsFiltered loads for fatigue and control analysis Applications The dataset is intended as a benchmark for wind farm control research, including: control algorithm development system identification wake steering validation load and fatigue studies reduced-order modelling validation of high-fidelity simulations