WakeNet Dataset

Dataset used to train <strong>WakeNet</strong>, a framework for neural networks to predict wind turbine wakes. Details of the model can be found in Asmuth and Korb (2022, doi:10.1088/1742-6596/2265/2/022066). The model itself is available at https://source.coderefinery.org/wind_energy_uu/wakenet. Please cite doi:10.1088/1742-6596/2265/2/022066 when using this dataset. <br> The data consists of 900 simulations of a single NREL 5MW turbine in different turbulent inflow conditions.<br> Turbine height, inflow velocity, turbulence intensity, shear and tip-speed ratio is varied. Turbulence is imposed by Mann turbulence.<br> Data consists of cross stream planes of mean velocity and Reynolds stresses. The first plane is 1 diameter upstream of the turbine and then there is a plane every D/4 up to 10D downstream of the turbine.<br> Data is provided as vkt image files (.vti), so further parameters of the cases are provided in the header of the files.<br> Each plane is 6Dx6D. Information about turbine location etc. can be found in the file actuator.dict