Phase II IUCRC at UT Dallas: Center for Wind Energy Science, Technology and Research (WindSTAR)
Phase II IUCRC at UT Dallas: Center for Wind Energy Science, Technology and Research (WindSTAR)
批准号:
1916776
负责人:
Mario Rotea
金额:
$52.69万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-12-15 至 2024-11-30
中文摘要
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英文摘要
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.
期刊论文(25)
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Wind LiDAR Measurements of Wind Turbine Wakes Evolving over Flat and Complex Terrains: Ensemble Statistics of the Velocity Field
风力激光雷达测量平坦和复杂地形上演变的风力涡轮机尾流:速度场的集合统计
DOI:
10.1088/1742-6596/1452/1/012077
发表时间:
2020
期刊:
Journal of Physics: Conference Series
影响因子:
--
作者:
[Zhan, Lu, Letizia, Stefano, Iungo, Giacomo Valerio]
通讯作者:
Iungo, Giacomo Valerio
Robustness of two-dimensional stochastic dynamical wake models for yawed wind turbines
偏航风力发电机二维随机动力尾流模型的鲁棒性
DOI:
10.23919/acc55779.2023.10156101
发表时间:
2023
期刊:
IEEE
影响因子:
--
作者:
[Rodrigues, Mireille, Burgess, Nicolas A., Bhatt, Aditya H., Leonardi, Stefano, Zare, Armin]
通讯作者:
Zare, Armin
Package Degradation’s Impact on SiC MOSFETs Loss: A Comparison of Kelvin and Non-Kelvin Designs
封装退化对 SiC MOSFET 损耗的影响:开尔文设计与非开尔文设计的比较
DOI:
10.1109/apec42165.2021.9487466
发表时间:
2021
期刊:
2021 IEEE Applied Power Electronics Conference and Exposition (APEC
影响因子:
--
作者:
[Yang, Fei, Pu, Shi, Akin, Bilal, Butler, Stephanie W., Wang, Gangyao]
通讯作者:
Wang, Gangyao
Increasing wind farm efficiency by yaw control: beyond ideal studies towards a realistic assessment
通过偏航控制提高风电场效率:超越理想研究,走向现实评估
DOI:
10.1088/1742-6596/1618/2/022029
发表时间:
2020
期刊:
Journal of Physics: Conference Series
影响因子:
--
作者:
[Ciri, U, Rotea, M A, Leonardi, S]
通讯作者:
Leonardi, S
DOI:
10.1115/1.4063971
发表时间:
2023-11
期刊:
Journal of Mechanical Design
影响因子:
3.3
作者:
[Honglin Li;Jie Zhang]
通讯作者:
Honglin Li;Jie Zhang
共 23 条
EAGER: Real-Time: Decision and Control of Complex Engineered Systems Enabled by Machine Learning and High-performance Computing
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批准号:1839733
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项目类别:Standard Grant
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资助金额:$29.99万
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财政年份:2018
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负责人:Mario Rotea
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依托单位:
I/UCRC: Wind Energy, Science, Technology, and Research (WindSTAR)
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批准号:1362033
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依托单位:
NSF Young Investigator
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批准号:9358288
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项目类别:Continuing Grant
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资助金额:$29.5万
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依托单位:
国内基金
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