Data Supplement for 'Dynamic induction control for mitigation of wake-induced power losses: a wind tunnel study under different inflow conditions'

This database contains experimental data from a wind tunnel investigation of dynamic induction control (DIC) in single- and two-turbine configurations, under baseline uniform inflow and two realistic atmospheric boundary layer inflows. A WindScanner lidar is used to remotely map the time-averaged wake characteristics of each turbine in vertical cross-sections at different downstream locations, while an active grid generates atmospheric-like inflows. The measurement campaign is conducted in the large wind tunnel at ForWind-Universität Oldenburg, Germany. The wind tunnel has a cross-section of 3 m x 3 m and and a closed test section length of 30 m. The model wind turbines are two in-house developed MoWiTO 0.6, with a rotor diameter of D = 0.58 m, thrust coeffcient C_T = 0.86, power coefficient C_P = 0.37, and tip-speed ratio TSR = 5.6 at an inflow wind speed of 7 m/s. The database contains 10 unique .mat files, each comprising a structure array with different data containers (fields) corresponding to specific inflow and turbine operational conditions. Within each substructure, the following parameters are provided: x_Global_frame [m]: x-coordinate referenced to WT1’s hub height y_Global_frame [m]: y-coordinate referenced to WT1’s hub height z_Global_frame [m]: z-coordinate referenced to WT1’s hub height vlos [m/s]: line-of-sight wind speed sigma [m/s]: spectrum width yy [m]: y-coordinate of the interpolation grid referenced to WT1’s hub height zz [m]: z-coordinate of the interpolation grid referenced to WT1’s hub height uu [m/s]: streamwise velocity component at each point on the interpolation grid uREWS [m/s]: rotor equivalent wind speed uREWS_eUQ [m/s]: uncertainty in rotor equivalent wind speed, based on standard error propagation Inflow measurements The following .mat files correspond to WindScanner measurements of the inflow along the empty wind tunnel test section: NoTurbine_Uniform_Inflow: x/D = 0, 2, 5, 7 NoTurbine_ABL_Type_I: x/D = 0, 2, 5, 7, 9 NoTurbine_ABL_Type_II: x/D = 0, 2, 5, 7, 9 Single-turbine configuration The following .mat files correspond to WindScanner measurements in the wake of WT1, operating in greedy and DIC modes: WT1_Uniform_Inflow: x/D = 2, 4, 5 WT1_ABL_Type_I: x/D = 2, 4, 5 WT1_ABL_Type_II: x/D = 2, 4, 5 Two-turbine configuration The following .mat files correspond to WindScanner measurements in the wake of WT2, in response to WT1 operating in greedy and DIC modes, while WT2 remains in greedy mode throughout: WT2_Uniform_Inflow: x/D = 2, 4 WT2_ABL_Type_I: x/D = 2, 4 WT2_ABL_Type_II: x/D = 2, 4 Virtual three-turbine configuration The following .mat file contains mean power values and their associated uncertainties for individual turbines (WT1, WT2, WT3), based on either turbine power measurements or virtual power estimates: WF_Power: WT1, WT2, WT3 Within each field, the following parameters are provided: Preal [W]: 10-min average of the measured electrical power Preal_error [W]: power uncertainty based on the statistical margin of error Pvirt [W]: virtual power based on the rotor equivalent wind speed Preal_error [W]: virtual power uncertainty based on standard error propagation Data structure: Rows 1–4: WT1 operating in different modes Row 1: Greedy mode Row 2: DIC mode at St = 0.25 Row 3: DIC mode at St = 0.30 Row 4: DIC mode at St = 0.40 Columns 1–4: Different inflow conditions Column 1: Uniform inflow (A = 1°) Column 2: Uniform inflow (A = 2°) Column 3: ABL Type-I inflow (A = 2°) Column 4: ABL Type-I inflow (A = 2°) Note: WT2 and WT3 remain in greedy mode throughout. When using this database please reference to the journal paper. All data has been included without warranty, express or implied. For further questions, please contact the corresponding author.