Turbulent flow field reconstruction in wind-farms using power measurements

Knowledge of the turbulent wind field within the atmospheric boundary layer is of great importance in maximizing wind-farm power generation and reducing structural loading. In this context, we propose a 4D-Var algorithm that integrates wind-turbine power measurements, a large-eddy simulation model, and background information to reconstruct the wind-farm’s inflow field. Following the collection of measurements, the 4D-Var problem is efficiently solved using the L-BFGS optimization algorithm. The results show fast convergence and good tracking of both reference power and wind-speed measurements across the turbines.