News

2021/02/24: Congratulations to Coleman Moss for receiving a Jonsson School Undergraduate Research Award for his work on modeling wind farm performance with Machine Learning

2020/11/13: Dr. Iungo has received the CAREER Award from NSF CBET Fluid Dynamics!!! (link)

2020/08/26: New NSF MRI project in collaboration with the University of Minnesota-Twin Cities to develop a field-scale imaging system to investigate atmospheric turbulence and aerosol transport (link)

2018/08/20: The UTD BLAST Wind Tunnel is now Fully Operational!  G.V. Iungo design; AIOLOS Engineering; UTD-funded project (link)

 more news

Software/Datasets/Tools

 

Matlab Code for the optimal design of wind LiDAR scans with LiSBOA 

Reference publications:

LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part I: Theoretical framework. Stefano Letizia, Lu Zhan, Giacomo Valerio Iungo. Atmospheric Measurement Techniques Discussions, 2020. https://doi.org/10.5194/amt-2020-227, in review.


LiSBOA: LiDAR Statistical Barnes Objective Analysis for optimal design of LiDAR scans and retrieval of wind statistics. Part II: Applications to LiDAR measurements of wind turbine wakes. Stefano Letizia, Lu Zhan, Giacomo Valerio Iungo. Atmospheric Measurement Techniques Discussions, 2020. https://doi.org/10.5194/amt-2020-228, in review.

Download here the Matlab code for the LiSBOA

YouTube: Watch the tutorial of this code

 

Matlab Code for Spectral Correction of LiDAR fixed scans for spatial averaging

Reference publications: Spectral Correction of Turbulent Energy Damping on Wind LiDAR Measurements due to Spatial Averaging. Matteo Puccioni, Giacomo Valerio Iungo. Atmospheric Measurement Techniques Discussions, 2020. https://doi.org/10.5194/amt-2020-27.

View at the publisher

Download here the Matlab code for Optimal Tuning of Wake Models

YouTube: Watch the tutorial of this code

Matlab Code for Optimal Tuning of Engineering Models for Wind Turbine Wakes 

Reference publications: Optimal Tuning of Engineering Wake Models through LiDAR Measurements. Lu Zhan, Stefano Letizia, Giacomo Valerio Iungo. Wind Energy Science, 5, 1601-1622, 2020. https://doi.org/10.5194/wes-5-1601-2020

View at the publisher

Download here the Matlab code for Optimal Tuning of Wake Models