26 citations · 64 across the 6 of their papers we have counts for
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Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows
Stefano Letizia, Giacomo Valerio Iungo
Next-generation models of wind farm flows are increasingly needed to assist the design, operation, and performance diagnostic of modern wind power plants. Accuracy in the descripti…
Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements
G. Valerio Iungo, Romit Maulik, S. Ashwin Renganathan +1
Wind turbine wakes are the result of the extraction of kinetic energy from the incoming atmospheric wind exerted from a wind turbine rotor. Therefore, the reduced mean velocity and…
Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
S. Ashwin Renganathan, Romit Maulik, Stefano Letizia +1
Wind farm design primarily depends on the variability of the wind turbine wake flows to the atmospheric wind conditions, and the interaction between wakes. Physics-based models tha…