The main goal of this project is to develop and validate a ‘Virtual Wind Simulator’ for the optimal design (layout) and operation of wind energy projects. During the course of the project, substantial progress has been made on all the planned tasks, corresponding to the three main work packages highlighted in the original proposal. The activities and main results for each task are briefly summarized below:
• Numerical Simulations: The development of the EPFL Virtual Wind Simulator has focused on improving the ability of our computational models to simulate wind turbine performance on complex terrain, as well as wind-turbines subjected to active yaw control. The new tool has been validated for both topography and active yaw control against wind tunnel flow data collected for that purpose. This unique validation exercise has shown an excellent performance of our newly-developed largeeddy simulation (LES) code.
• Wind-tunnel experiments: An optimized miniature wind-turbine model has been designed and built to be used in controlled wind-tunnel experiments. Its performance (power and thrust coefficients) is more realistic than any turbine model used in wind tunnels before. This model turbine has been used at the EPFL-WiRE wind-tunnel facility to carefully characterize its performance and the wake flow (using laser-based techniques) under different conditions. These experiments are providing unique datasets for the validation of the EPFL Virtual Wind Simulator (e.g., LES) of wake flows of wind turbines subject to topography effects as well as yaw control strategies.
• Field experiments: Three field experiments have been carried out, as planned, using the EPFLWiRE scanning doppler lidars. The experiments were performed in Collonges (single turbine; ground-based lidars), Iowa (single turbine; nacelle-based lidars), and Colorado (wind farm with active yaw control; nacelle-based lidars). The measurements have provided interesting new insights on how the turbine wake (shadow) flows are affected by atmospheric conditions and yaw control strategies. The datasets are being used to validate numerical models.