Award Abstract # 1916776
Phase II IUCRC at UT Dallas: Center for Wind Energy Science, Technology and Research (WindSTAR)
NSF Org: |
EEC
Division of Engineering Education and Centers
|
Recipient: |
UNIVERSITY OF TEXAS AT DALLAS
|
Initial Amendment Date:
|
December 17, 2019 |
Latest Amendment Date:
|
September 15, 2023 |
Award Number: |
1916776 |
Award Instrument: |
Continuing Grant |
Program Manager: |
Seetha Raghavan
seraghav@nsf.gov
(703)292-4580
EEC
Division of Engineering Education and Centers
ENG
Directorate for Engineering
|
Start Date: |
December 15, 2019 |
End Date: |
November 30, 2025 (Estimated) |
Total Intended Award
Amount: |
$526,941.00 |
Total Awarded Amount to
Date: |
$581,426.00 |
Funds Obligated to Date:
|
FY 2020 = $155,906.00
FY 2021 = $102,990.00
FY 2022 = $104,592.00
FY 2023 = $217,938.00
|
History of Investigator:
|
-
Mario
Rotea
(Principal Investigator)
rotea@utdallas.edu
-
Stefano
Leonardi
(Co-Principal Investigator)
-
Giacomo Valerio
Iungo
(Co-Principal Investigator)
-
Todd
Griffith
(Co-Principal Investigator)
|
Recipient Sponsored Research
Office: |
University of Texas at Dallas
800 WEST CAMPBELL RD.
RICHARDSON
TX
US
75080-3021
(972)883-2313
|
Sponsor Congressional
District: |
24
|
Primary Place of
Performance: |
University of Texas at Dallas
800 W. Campbell Road
Richardson
TX
US
75080-3021
|
Primary Place of
Performance Congressional District: |
24
|
Unique Entity Identifier
(UEI): |
EJCVPNN1WFS5
|
Parent UEI: |
|
NSF Program(s): |
GOALI-Grnt Opp Acad Lia wIndus, IUCRC-Indust-Univ Coop Res Ctr
|
Primary Program Source:
|
01002021DB NSF RESEARCH & RELATED ACTIVIT
01002122DB NSF RESEARCH & RELATED ACTIVIT
01002223DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT
01002425DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT
|
Program Reference
Code(s): |
019Z,
1504,
5761
|
Program Element Code(s):
|
150400,
576100
|
Award Agency Code: |
4900
|
Fund Agency Code: |
4900
|
Assistance Listing
Number(s): |
47.041
|
ABSTRACT

The objective of this project is to establish a multi-university, Phase II I-UCRC (Industry-University Collaborative Research Center) for wind energy research, education, and outreach. The effort is based on successful operation during Phase I that was led by two university sites (UMass Lowell and the University of Texas at Dallas). Together these two universities have conducted wind energy research, established long-term partnerships within the wind industry, trained undergraduate and graduate students to perform state-of-the-art industry relevant research, and engaged in outreach to K-12 students. The Center will contribute to the nation?s research infrastructure and enhance the intellectual capacity of the renewable energy workforce. A diverse group of scientists, engineers, and practitioners will execute a program of research and education focused on the design, operation, and maintenance of land-based and offshore wind energy systems for electricity production. The Center will be aimed at: (a) enhancing national excellence in wind energy research and development that has direct relevance to industry, and (b) developing a cadre of diverse undergraduate and graduate students with world-class training who will support and eventually lead in the analysis, design, manufacture, and successful operation of wind energy systems.
The proposed Phase II I-UCRC will integrate engineering with fundamental research to support the development of low-cost and high availability wind energy systems. The partners will engage in cooperative research and education in the following key thrust areas: (a) Composites, Blade and Rotor Design & Manufacturing, (b) Structural Health Monitoring and Non-Destructive Inspection, (c) Wind Plant Modeling and Measurements, (d) Control Systems for Wind Turbines and Wind Plants, (e) Energy Storage and Grid Integration, (f) Foundation and Towers, and (g) Environmental Impacts. Industrially relevant research led by the UT Dallas site is expected to result in: (1) improved systems for controlling wind turbines and wind farms for power production, while mitigating aeromechanical loads, (2) diagnostics and prediction of wind plant performance by fusion of SCADA data and LiDAR data with CFD models at various levels of resolution and run-time efficiency, (3) experimental protocols for evaluation of aerodynamic and structural performance of blades, wind turbine components, and scaled wind plants, (4) decision support tools for grid integration of renewables, (5) novel rotor technologies for offshore wind energy, (6) new systems to mitigate wildlife impacts, and (7) evaluation of materials and construction methods for blades and towers. Experimental facilities available for this research include a highly instrumented boundary layer and subsonic wind tunnel with a large test section designed for wind energy and wind engineering applications.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 38)
(Showing: 1 - 38 of 38)
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, v.1
, 2024
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Cao, Dongyang and Bouzolin, Dan and Lu, Hongbing and Griffith, D. Todd
"Bending and shear improvements in 3D-printed core sandwich composites through modification of resin uptake in the skin/core interphase region"
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, v.264
, 2023
https://doi.org/10.1016/j.compositesb.2023.110912
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Cao, Dongyang and Malakooti, Sadeq and Kulkarni, Vijay N. and Ren, Yao and Liu, Yingjian and Nie, Xu and Qian, Dong and Griffith, D. Todd and Lu, Hongbing
"The effect of resin uptake on the flexural properties of compression molded sandwich composites"
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, 2021
https://doi.org/10.1002/we.2661
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Cao, Dongyang and Malakooti, Sadeq and Kulkarni, Vijay N. and Ren, Yao and Lu, Hongbing
"Nanoindentation measurement of coreskin interphase viscoelastic properties in a sandwich glass composite"
Mechanics of Time-Dependent Materials
, 2020
https://doi.org/10.1007/s11043-020-09448-y
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Cao, Dongyang and Xu, Tingge and Zhang, Mengmeng and Wang, Zhong and Griffith, D Todd and Roy, Samit and Baughman, Ray H and Lu, Hongbing
"Strengthening sandwich composites by laminating ultra-thin oriented carbon nanotube sheets at the skin/core interface"
Composites Part B: Engineering
, v.280
, 2024
https://doi.org/10.1016/j.compositesb.2024.111496
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Ciri, U and Rotea, M A and Leonardi, S
"Increasing wind farm efficiency by yaw control: beyond ideal studies towards a realistic assessment"
Journal of Physics: Conference Series
, v.1618
, 2020
https://doi.org/10.1088/1742-6596/1618/2/022029
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Kumar, Devesh and Rotea, Mario A. and Aju, Emmanuvel J. and Jin, Yaqing
"Wind plant power maximization via extremum seeking yaw control: A wind tunnel experiment"
Wind Energy
, v.26
, 2022
https://doi.org/10.1002/we.2799
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Letizia, Stefano and Moss, Coleman and Puccioni, Matteo and Jacquet, Clément and Apgar, Dale and Valerio Iungo, Giacomo
"Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment"
Journal of Physics: Conference Series
, v.2265
, 2022
https://doi.org/10.1088/1742-6596/2265/2/022033
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Letizia, Stefano and Zhan, Lu and Iungo, Giacomo Valerio
"LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics Part 1: Theoretical framework"
Atmospheric Measurement Techniques
, v.14
, 2021
https://doi.org/10.5194/amt-14-2065-2021
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Letizia, Stefano and Zhan, Lu and Iungo, Giacomo Valerio
"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"
Atmospheric Measurement Techniques
, v.14
, 2021
https://doi.org/10.5194/amt-14-2095-2021
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Li, Honglin and Rahman, Jubeyer and Zhang, Jie
"Optimal Planning of Co-Located Wind Energy and Hydrogen Plants: A Techno-Economic Analysis"
Journal of Physics: Conference Series
, v.2265
, 2022
https://doi.org/10.1088/1742-6596/2265/4/042063
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Li, Honglin and Zhang, Jie
"Towards Sustainable Integration: Techno-Economic Analysis and Future Perspectives of Co-Located Wind and Hydrogen Energy Systems"
Journal of Mechanical Design
, v.146
, 2024
https://doi.org/10.1115/1.4063971
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Lingad, M V and Rodrigues, M and Leonardi, S and Zare, A
"Three-dimensional stochastic dynamical modeling for wind farm flow estimation"
Journal of Physics: Conference Series
, v.2767
, 2024
https://doi.org/10.1088/1742-6596/2767/5/052065
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Liu, Chang and Gupta, Abhineet and Rotea, Mario
"Multi-Sectional Lift Actuation for Wind Turbine Load Alleviation"
Journal of Physics: Conference Series
, v.1618
, 2020
https://doi.org/10.1088/1742-6596/1618/2/022018
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Moss, Coleman and Puccioni, Matteo and Maulik, Romit and Jacquet, Clément and Apgar, Dale and Valerio Iungo, Giacomo
"Profiling wind LiDAR measurements to quantify blockage for onshore wind turbines"
Wind Energy
, 2023
https://doi.org/10.1002/we.2877
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Panthi, Keshav and Iungo, Giacomo Valerio
"Quantification of wind turbine energy loss due to leadingedge erosion through infraredcamera imaging, numerical simulations, and assessment against SCADA and meteorological data"
Wind Energy
, v.26
, 2022
https://doi.org/10.1002/we.2798
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Puccioni, M. and Moss, C. F. and Jacquet, C. and Iungo, G. V.
"Blockage and speedup in the proximity of an onshore wind farm: A scanning wind LiDAR experiment"
Journal of Renewable and Sustainable Energy
, v.15
, 2023
https://doi.org/10.1063/5.0157937
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Pu, Shi and Akin, Bilal and Yang, Fei
"Active Channel Impact on SiC MOSFET Gate Oxide Reliability"
2021 IEEE Applied Power Electronics Conference and Exposition (APEC)
, 2021
https://doi.org/10.1109/apec42165.2021.9487362
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Rodrigues, Mireille and Burgess, Nicolas A. and Bhatt, Aditya H. and Leonardi, Stefano and Zare, Armin
"Robustness of two-dimensional stochastic dynamical wake models for yawed wind turbines"
, 2023
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Rotea, Mario A and Kumar, Devesh and Aju, Emmanuvel J and Jin, Yaqing
"Multi-row extremum seeking for wind farm power maximization"
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Tubije, J M and Jin, Yaqing and Leonardi, Stefano
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, v.2767
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"Package Degradations Impact on SiC MOSFETs Loss: A Comparison of Kelvin and Non-Kelvin Designs"
2021 IEEE Applied Power Electronics Conference and Exposition (APEC)
, 2021
https://doi.org/10.1109/apec42165.2021.9487466
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Yan, Jingyi and Senemmar, Soroush and Zhang, Jie
"Inter-turn Short Circuit Fault Diagnosis and Severity Estimation for Wind Turbine Generators"
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, v.2767
, 2024
https://doi.org/10.1088/1742-6596/2767/3/032021
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Zani, Md Rafsan and Maor, Nir Saar and Bhamitipadi_Suresh, Dhanush and Jin, Yaqing
"Turbulent Boundary Layer Control with Multi-Scale Riblet Design"
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"An Automated Multi-Device Characterization System for Reliability Assessment of Power Semiconductors"
2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
, 2021
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, 2023
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Zhang, Yujie and Kehtarnavaz, Nasser and Rotea, Mario and Dasari, Teja
"Prediction of Icing on Wind Turbines Based on SCADA Data via Temporal Convolutional Network"
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, v.17
, 2024
https://doi.org/10.3390/en17092175
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Zhang, Yujie and Rotea, Mario and Kehtarnavaz, Nasser
"Wind Farm Prediction of Icing Based on SCADA Data"
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, v.17
, 2024
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Zhan, Lu and Letizia, Stefano and Iungo, Giacomo Valerio
"Optimal tuning of engineering wake models through lidar measurements"
Wind Energy Science
, v.5
, 2020
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Zhan, Lu and Letizia, Stefano and Iungo, Giacomo Valerio
"Wind LiDAR Measurements of Wind Turbine Wakes Evolving over Flat and Complex Terrains: Ensemble Statistics of the Velocity Field"
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Zhan, Lu and Letizia, Stefano and Valerio Iungo, Giacomo
"LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes"
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(Showing: 1 - 10 of 38)
(Showing: 1 - 38 of 38)
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