Engineering wake models provide the invaluable advantage to predict wind turbine wakes, power capture, and, in turn, annual energy production for an entire wind farm with very low …
The power performance and the wind velocity field of an onshore wind farm are predicted with machine learning models and the pseudo‐2D RANS model, then assessed against …
With the increased availability of experimental measurements aiming at probing wind resources and wind turbine operations, machine learning (ML) models are poised to …
The axial induction exerted by utility-scale wind turbines for different operative and atmospheric conditions is estimated by coupling ground-based LiDAR measurements and …
Wind velocity measurements of wakes generated by utility-scale wind turbines were performed with the University of Texas at Dallas (UTD) mobile LiDAR station for wind farms …
E Nanos, J Robke, F Heckmeier, K Jones… - AIAA Scitech 2019 …, 2019 - arc.aiaa.org
The increasing need for validation of reduced-order wind-farm models over the last years requires even more sophisticated scaled wind turbines for wind tunnel testing. In this article …