Giacomo Valerio Iungo

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Fernando Porté-AgelProfessor, EPFL, SwitzerlandVerifisert e-postadresse på epfl.ch
Stefano LetiziaNational Renewable Energy LaboratoryVerifisert e-postadresse på utdallas.edu
Francesco ViolaGran Sasso Science InstituteVerifisert e-postadresse på gssi.it
Stefano LeonardiThe University of Texas at DallasVerifisert e-postadresse på utdallas.edu
Lu ZhanArgonne National LabVerifisert e-postadresse på anl.gov
Mario A. RoteaUniversity of Texas at DallasVerifisert e-postadresse på utdallas.edu
Simone CamarriUniversity of PisaVerifisert e-postadresse på ing.unipi.it
Guido BurestiProfessor (retired), Università di PisaVerifisert e-postadresse på ing.unipi.it
François GallaireLFMI-STI-IGM-EPFLVerifisert e-postadresse på epfl.ch
Matteo PuccioniLawrence Livermore National LaboratoryVerifisert e-postadresse på llnl.gov
Coleman MossResearch Assistant, University of Texas at DallasVerifisert e-postadresse på utdallas.edu
Julie LundquistBloomberg Distinguished Professor of Atmospheric Science and Wind Energy, Johns Hopkins UniversityVerifisert e-postadresse på JHU.edu
Mithu DebnathResearcher, National Renewable Energy LaboratoryVerifisert e-postadresse på nrel.gov
Romit MaulikAssistant Professor and ICDS Co-Hire: Pennsylvania State UniversityVerifisert e-postadresse på psu.edu
Ashwin RenganathanAssistant Professor, The Pennsylvania State UniversityVerifisert e-postadresse på gatech.edu
Keshav PanthiUniversity of Texas at DallasVerifisert e-postadresse på utdallas.edu
Mojtaba shams soulariResearch Assistant, Wind Fluids and Experiments (WindFluX) Laboratory, University of Texas at DallasVerifisert e-postadresse på utdallas.edu
Jiarong HongUniversity of MinnesotaVerifisert e-postadresse på umn.edu
Michele GualaSt. Anthony Falls Lab., Civil, Environmental and Geo- Engineering, UMN. ProfessorVerifisert e-postadresse på umn.edu
Wasi Uddin AhmedUniversity of Texas at DallasVerifisert e-postadresse på utdallas.edu

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Giacomo Valerio Iungo

Associate Professor, WindFluX Lab, University of Texas at Dallas

Verifisert e-postadresse på utdallas.edu - Startside

Fluid Dynamics Wind Energy Atmospheric Boundary Layer


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Field measurements of wind turbine wakes with lidars GV Iungo, YT Wu, F Porté-Agel Journal of Atmospheric and Oceanic Technology 30 (2), 274-287, 2013	220	2013
Linear stability analysis of wind turbine wakes performed on wind tunnel measurements GV Iungo, F Viola, S Camarri, F Porté-Agel, F Gallaire Journal of Fluid Mechanics 737, 499-526, 2013	146	2013
Volumetric lidar scanning of wind turbine wakes under convective and neutral atmospheric stability regimes GV Iungo, F Porté-Agel Journal of Atmospheric and Oceanic Technology 31 (10), 2035-2048, 2014	139	2014
Prediction of the hub vortex instability in a wind turbine wake: stability analysis with eddy-viscosity models calibrated on wind tunnel data F Viola, GV Iungo, S Camarri, F Porté-Agel, F Gallaire Journal of Fluid Mechanics 750, R1, 2014	127	2014
Data-driven Reduced Order Model for prediction of wind turbine wakes GV Iungo, C Santoni-Ortiz, M Abkar, F Porté-Agel, MA Rotea, S Leonardi Journal of Physics: Conference Series 625 (1), 12009-12018, 2015	120	2015
Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data S El‐Asha, L Zhan, GV Iungo Wind Energy 20 (11), 1823-1839, 2017	106	2017
Experimental characterization of wind turbine wakes: Wind tunnel tests and wind LiDAR measurements GV Iungo Journal of Wind Engineering and Industrial Aerodynamics 149, 35-39, 2016	95	2016
3D turbulence measurements using three synchronous wind lidars: Validation against sonic anemometry FC Fuertes, GV Iungo, F Porté-Agel Journal of Atmospheric and Oceanic Technology 31 (7), 1549-1556, 2014	95	2014
LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L Zhan, S Letizia, GV Iungo Wind Energy, 2019	79	2019
Experimental investigation on the aerodynamic loads and wake flow features of low aspect-ratio triangular prisms at different wind directions GV Iungo, G Buresti Journal of Fluids and Structures 25 (7), 1119-1135, 2009	77	2009
Assessing state-of-the-art capabilities for probing the atmospheric boundary layer: the XPIA field campaign JK Lundquist, JM Wilczak, R Ashton, L Bianco, WA Brewer, A Choukulkar, ... Bulletin of the American Meteorological Society 98 (2), 289-314, 2017	75	2017
Towards reduced order modelling for predicting the dynamics of coherent vorticity structures within wind turbine wakes M Debnath, C Santoni, S Leonardi, GV Iungo Phil. Trans. R. Soc. A 375 (2091), 20160108, 2017	72	2017
Performance optimization of a wind turbine column for different incoming wind turbulence V Santhanagopalan, MA Rotea, GV Iungo Renewable Energy 116, 232-243, 2018	56	2018
Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign A Choukulkar, WA Brewer, SP Sandberg, A Weickmann, TA Bonin, ... Atmospheric Measurement Techniques 10 (1), 2017	49	2017
Correction of wandering smoothing effects on static measurements of a wing-tip vortex GV Iungo, P Skinner, G Buresti Experiments in fluids 46, 435-452, 2009	49	2009
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	47	2022
Optimal tuning of engineering wake models through lidar measurements L Zhan, S Letizia, GV Iungo Wind Energy Science 5 (4), 1601-1622, 2020	47	2020
Experimental investigation on the aerodynamic loads and wake flow features of a low aspect-ratio circular cylinder GV Iungo, LM Pii, G Buresti Journal of Fluids and Structures 28, 279-291, 2012	47	2012
Identification of tower-wake distortions using sonic anemometer and lidar measurements K McCaffrey, PT Quelet, A Choukulkar, JM Wilczak, DE Wolfe, SP Oncley, ... Atmospheric Measurement Techniques 10 (2), 393-407, 2017	42	2017
Parametric study of urban-like topographic statistical moments relevant to a priori modelling of bulk aerodynamic parameters X Zhu, GV Iungo, S Leonardi, W Anderson Boundary-Layer Meteorology 162 (2), 231-253, 2017	42	2017

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