S. Letizia

发表

Italian Thermal Machines Engineering Association , ATI 2016 , 14-16 September 2016 , Turin , Italy Hybrid CFD-source terms modelling of a diffuser-augmented vertical axis wind turbine

S. Zanforlin, S. Letizia, 2016 .

Optimal tuning of engineering wake models through lidar measurements

G. Iungo, L. Zhan, S. Letizia, 2020, Wind Energy Science.

Wind LiDAR Measurements of Wind Turbine Wakes Evolving over Flat and Complex Terrains: Ensemble Statistics of the Velocity Field

G. Iungo, L. Zhan, S. Letizia, 2020 .

Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation

C. Bottasso, M. Rotea, G. Iungo, 2022, Wind Energy Science.

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

Sudharshan Ashwin Renganathan, R. Maulik, G. Iungo, 2021, Journal of Renewable and Sustainable Energy.

Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning pdf

Stefano Letizia, Giacomo Valerio Iungo, Romit Maulik, 2021, ArXiv.

Profitability optimization of a wind power plant performed through different optimization algorithms and a data-driven RANS solver

Vignesh Santhanagopalan, Stefano Letizia, Lu Zhan, 2018 .

LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework

G. Iungo, L. Zhan, S. Letizia, 2021 .

LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part I: Theoretical framework

Stefano Letizia, Giacomo Valerio Iungo, Lu Zhan, 2020, 2005.06078.

Hybrid CFD-source Terms Modelling of a Diffuser-augmented Vertical Axis Wind Turbine

Stefania Zanforlin, Stefano Letizia, S. Zanforlin, 2016 .

Design, performance and wake characterization of a scaled wind turbine with closed-loop controls

Mario A. Rotea, Carlo L. Bottasso, Stefano Letizia, 2021 .

Pseudo-2D RANS: a LiDAR-driven mid-fidelity model for simulations of wind farm flows

G. Iungo, S. Letizia, 2021, Journal of Renewable and Sustainable Energy.

Effects of upstream buildings on the performance of a synergistic roof-and-diffuser augmentation system for cross flow wind turbines

Stefania Zanforlin, Stefano Letizia, S. Zanforlin, 2019, Journal of Wind Engineering and Industrial Aerodynamics.

LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes

Stefano Letizia, Lu Zhan, Giacomo Valerio Iungo, 2019, Wind Energy.

Data-driven wind turbine wake modeling via probabilistic machine learning

R. Maulik, G. Iungo, S. Letizia, 2022, Neural computing & applications (Print).

Cluster analysis of wind turbine wakes measured through a scanning Doppler wind LiDAR

Sudharshan Ashwin Renganathan, R. Maulik, G. Iungo, 2020, AIAA Scitech 2021 Forum.

Characterization of wind speed and directional shear at the AWAKEN field campaign site

J. Lundquist, P. Moriarty, R. Newsom, 2023, Journal of Renewable and Sustainable Energy.

LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part II: Applications to synthetic and real LiDAR data of wind turbine wakes

Stefano Letizia, Giacomo Valerio Iungo, Lu Zhan, 2020, 2005.10604.

Grand-scale Atmospheric Imaging Apparatus (GAIA) and Wind LiDAR Multi-scale Measurements in the Atmospheric Surface Layer

G. Iungo, M. Puccioni, Jiaqi Li, 2023, Bulletin of the American Meteorological Society.

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 turbine wakes

G. Iungo, L. Zhan, S. Letizia, 2021 .