Anisotropic double?Gaussian analytical wake model for an isolated horizontal?axis wind turbine

An anisotropic double Gaussian (DG) model for analytical wake modeling to predict the streamwise velocity behind an isolated non-yawed horizontal-axis wind turbine is proposed. The proposed based upon conservation of mass and momentum inside a streamtube control volume. growth rate parameters distinguish expansion between lateral vertical directions were tuned on numerical measurement data utility-scale turbines. It was found that can give feasible predictions within full-wake region under different inflow conditions. In addition, other models top-hat shape single approaches evaluated comparison. root-mean-square error statistical analysis used evaluate performance each examined flow general, outperformed in all categories, particularly near-wake onset far-wake region, which are beyond scope conventional approach modeling. This advantage gives potential provide better prediction estimation tightly packed farms.