Model-free control of wind farms: A comparative study between individual and coordinated extremum seeking U Ciri, MA Rotea, S Leonardi Renewable Energy 113, 1033-1045, 2017 | 71 | 2017 |
Development of a high fidelity CFD code for wind farm control C Santoni, U Ciri, M Rotea, S Leonardi 2015 American Control Conference (ACC), 1715-1720, 2015 | 55 | 2015 |
Effect of the turbine scale on yaw control U Ciri, MA Rotea, S Leonardi Wind Energy 21 (12), 1395-1405, 2018 | 51 | 2018 |
Large-Eddy Simulations of Two In-Line Turbines in a Wind Tunnel with Different Inflow Conditions U Ciri, G Petrolo, MV Salvetti, S Leonardi Energies 10 (6), 821, 2017 | 40 | 2017 |
Large‐eddy simulations with extremum‐seeking control for individual wind turbine power optimization U Ciri, M Rotea, C Santoni, S Leonardi Wind Energy 20 (9), 1617-1634, 2017 | 37 | 2017 |
Data-driven RANS for simulations of large wind farms GV Iungo, F Viola, U Ciri, MA Rotea, S Leonardi Journal of Physics: Conference Series 625 (1), 012025, 2015 | 35 | 2015 |
One‐way mesoscale‐microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data C Santoni, EJ García‐Cartagena, U Ciri, L Zhan, G Valerio Iungo, ... Wind Energy 23 (3), 691-710, 2020 | 32 | 2020 |
Parabolic RANS solver for low‐computational‐cost simulations of wind turbine wakes GV Iungo, V Santhanagopalan, U Ciri, F Viola, L Zhan, MA Rotea, ... Wind Energy 21 (3), 184-197, 2018 | 30 | 2018 |
Effects of the Subgrid-Scale Modeling in the Large-Eddy Simulations of Wind Turbines U Ciri, MV Salvetti, K Carrasquillo, C Santoni, GV Iungo, S Leonardi Direct and Large-Eddy Simulation X, 109-115, 2018 | 26* | 2018 |
Evaluation of log‐of‐power extremum seeking control for wind turbines using large eddy simulations U Ciri, S Leonardi, MA Rotea Wind Energy 22 (7), 992-1002, 2019 | 25 | 2019 |
Large eddy simulation for an array of turbines with extremum seeking control U Ciri, M Rotea, C Santoni, S Leonardi 2016 American Control Conference (ACC), 531-536, 2016 | 23 | 2016 |
American Control Conference (ACC) C Santoni, U Ciri, M Rotea, S Leonardi IEEE, 2015 | 23 | 2015 |
Coupling of mesoscale Weather Research and Forecasting model to a high fidelity Large Eddy Simulation C Santoni, EJ García-Cartagena, U Ciri, GV Iungo, S Leonardi Journal of Physics: Conference Series 1037 (6), 062010, 2018 | 19 | 2018 |
Reduced order model for optimization of power production from a wind farm GV Iungo, F Viola, U Ciri, S Leonardi, M Rotea 34th Wind Energy Symposium, 2200, 2016 | 17 | 2016 |
Identification of wind turbine clusters for effective real time yaw control optimization F Bernardoni, U Ciri, MA Rotea, S Leonardi Journal of Renewable and Sustainable Energy 13 (4), 2021 | 13 | 2021 |
Real-time identification of clusters of turbines F Bernardoni, U Ciri, M Rotea, S Leonardi Journal of Physics: Conference Series 1618 (2), 022032, 2020 | 13 | 2020 |
Increasing wind farm efficiency by yaw control: beyond ideal studies towards a realistic assessment U Ciri, MA Rotea, S Leonardi Journal of Physics: Conference Series 1618 (2), 022029, 2020 | 11 | 2020 |
Decoupled effects of localized camber and spanwise bending for flexible thin wing H Yu, U Ciri, AS Malik, S Leonardi AIAA Journal 58 (5), 2293-2306, 2020 | 10 | 2020 |
Appraisal and calibration of the actuator line model for the prediction of turbulent separated wakes B Rocchio, U Ciri, MV Salvetti, S Leonardi Wind Energy 23 (5), 1231-1248, 2020 | 10 | 2020 |
Heat transfer in a turbulent channel flow with super-hydrophobic or liquid-infused walls U Ciri, S Leonardi Journal of Fluid Mechanics 908, A28, 2021 | 9 | 2021 |