| LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L Zhan, S Letizia, G Valerio Iungo Wind Energy 23 (3), 501-527, 2020 | 69 | 2020 |
| Improving the performance of wind turbines in urban environment by integrating the action of a diffuser with the aerodynamics of the rooftops S Zanforlin, S Letizia Energy Procedia 82, 774-781, 2015 | 38 | 2015 |
| Optimal tuning of engineering wake models through lidar measurements L Zhan, S Letizia, GV Iungo Wind Energy Science 5 (4), 1601-1622, 2020 | 34 | 2020 |
| Data-driven wind turbine wake modeling via probabilistic machine learning S Ashwin Renganathan, R Maulik, S Letizia, GV Iungo Neural Computing and Applications, 1-16, 2022 | 27 | 2022 |
| Effects of upstream buildings on the performance of a synergistic roof-and-diffuser augmentation system for cross flow wind turbines S Zanforlin, S Letizia Journal of Wind Engineering and Industrial Aerodynamics 184, 329-341, 2019 | 20 | 2019 |
| LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics–Part 1: Theoretical framework S Letizia, L Zhan, GV Iungo Atmospheric Measurement Techniques 14 (3), 2065-2093, 2021 | 17 | 2021 |
| Vertical wake deflection for offshore floating wind turbines by differential ballast control EM Nanos, S Letizia, DJB Clemente, C Wang, M Rotea, VI Iungo, ... Journal of Physics: Conference Series 1618 (2), 022047, 2020 | 17 | 2020 |
| LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics–Part 2: Applications to lidar measurements of wind … S Letizia, L Zhan, GV Iungo Atmospheric Measurement Techniques 14 (3), 2095-2113, 2021 | 15 | 2021 |
| Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows S Letizia, GV Iungo Journal of Renewable and Sustainable Energy 14 (023301), 2022 | 11 | 2022 |
| Hybrid CFD-source terms modelling of a diffuser-augmented vertical axis wind turbine S Letizia, S Zanforlin Energy Procedia 101, 1280-1287, 2016 | 11 | 2016 |
| Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations G Valerio Iungo, S Letizia, L Zhan Journal of Physics: Conference Series 1037, 2018 | 9 | 2018 |
| Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR … GV Iungo, R Maulik, SA Renganathan, S Letizia arXiv preprint arXiv:2109.01646, 2021 | 8 | 2021 |
| Design, performance and wake characterization of a scaled wind turbine with closed-loop controls EM Nanos, CL Bottasso, F Campagnolo, S Letizia, GV Iungo, MA Rotea Wind Energy Science Discussions, 1-36, 2021 | 6 | 2021 |
| Wind LiDAR measurements of wind turbine wakes evolving over flat and complex terrains: ensemble statistics of the velocity field L Zhan, S Letizia, GV Iungo Journal of Physics: Conference Series 1452 (1), 012077, 2020 | 6 | 2020 |
| Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment S Letizia, C Moss, M Puccioni, C Jacquet, D Apgar, GV Iungo Journal of Physics Conference Series 2265 ((2) 022033), 2022 | 5 | 2022 |
| Cluster analysis of wind turbine wakes measured through a scanning Doppler wind LiDAR R Maulik, V Rao, SA Renganathan, S Letizia, GV Iungo AIAA Scitech 2021 Forum, 1181, 2021 | 4 | 2021 |
| Holistic scan optimization of nacelle-mounted lidars for inflow and wake characterization at the RAAW and AWAKEN field campaigns S Letizia, N Bodini, P Brugger, A Scholbrock, N Hamilton, F Porté-Agel, ... Journal of Physics: Conference Series 2505 (1), 012048, 2023 | 2 | 2023 |
| Characterization of wind speed and directional shear at the awaken field campaign site M Debnath, P Moriarty, R Krishnamurthy, N Bodini, R Newsom, E Quon, ... Journal of Renewable and Sustainable Energy 15 (3), 2023 | 2 | 2023 |
| Grand-Scale Atmospheric Imaging Apparatus (GAIA) and Wind Lidar Multiscale Measurements in the Atmospheric Surface Layer GV Iungo, M Guala, J Hong, N Bristow, M Puccioni, P Hartford, R Ehsani, ... Bulletin of the American Meteorological Society 105 (1), E121-E143, 2024 | 1 | 2024 |
| Assessment of wake superposition models through wind tunnel tests and LiDAR measurements S Letizia, L Zhan, E Nanos, C Bottasso, MA Rotea, GV Iungo, TUM Team, ... APS Division of Fluid Dynamics Meeting Abstracts, G42. 006, 2019 | 1 | 2019 |
Giacomo Valerio IungoAssociate Professor, WindFluX Lab, University of Texas at DallasDirección de correo verificada de utdallas.edu
