Planning Grant: I/UCRC for Wind Energy, Science, Technology, and Research (WindSTAR)
规划补助金:I/UCRC 风能、科学、技术和研究 (WindSTAR)
基本信息
- 批准号:1238302
- 负责人:
- 金额:$ 1.15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-15 至 2013-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Planning Grant for an I/UCRC for Wind Energy, Science, Technology, and Research (WIndSTAR) 1238307 University of Massachusetts Lowell; Christopher Niezrecki 1238314 Texas A&M; John Niedzwecki 1238302 University of Texas at Dallas; Mario Rotea 1238185 Iowa State University; Matthew Frank The proposed Center for Wind Energy, Science, Technology, and Research (WIndSTAR) will aim to enhance national excellence in wind energy research and development that has direct relevance to industry, and to develop a cadre of diverse undergraduate and graduate students with world-class training who will support and eventually lead in the analysis, design, manufacture, installation, operation, and maintenance of wind energy systems. The research efforts will be anchored by the University of Massachusetts Lowell as the lead institution, partnering with Texas A&M, the University of Texas at Dallas, and Iowa State University. Wind energy systems for electricity production are complex engineered systems that operate on land or over water to produce usable power. These systems consist of an array of wind turbines placed on appropriate support structures and interconnected to deliver electric power to the utility grid. The potential for land-based and offshore wind energy is tremendous, but to achieve this potential will require a coherent and industry-relevant research and development program that involves industry, academe and government. The proposed I/UCRC will address industrially relevant research to advance and support the development of wind energy systems with low-cost energy and high reliability. The partners intend to engage in a cooperative program of research and education in the following areas: A) Composites in Wind Energy, B) Foundations and Towers, C) Manufacturing and Design, D) Structural Health Monitoring, Non-Destructive Inspection, and Testing,E) Control Systems and Storage, and F) Wind System Planning, Siting, Operations, and Maintenance. The proposed center will provide a forum in which wind turbine manufacturers, manufacturers of key components, suppliers of ancillary equipment, service companies, and wind project developers can work together to solve problems that are of mutual interest. In addition, the center will work to develop and integrate educational activities that enhance recruitment and retention of diverse student populations. The Center intends to collaborate with KidWind, which provides teaching materials for K-12 teachers, and manages regional and national challenges for team turbine design competitions. The center will provide a conduit for the transfer of ideas among KidWind, industry, and academe and will engage industrial partners to develop regional training programs between educators and industry to create a sustainable pipeline of future STEM workers with strong interest by women and underrepresented groups.
风能、科学、技术和研究I/UCRC计划补助金(WIndSTAR)1238307马萨诸塞州洛厄尔大学; Christopher Niezrecki 1238314德克萨斯州A& M; John Niedzwecki 1238302德克萨斯大学达拉斯分校; Mario Rotea 1238185爱荷华州州立大学;马修·弗兰克风能,科学,技术和研究中心(WIndSTAR)将致力于提高国家在风能研究和开发方面的卓越水平,这与工业直接相关,并培养一批具有世界一流培训的多样化本科生和研究生,他们将支持并最终领导风能系统的分析,设计,制造,安装,操作和维护。研究工作将由马萨诸塞州洛厄尔大学作为牵头机构,与德克萨斯州A M大学、德克萨斯大学达拉斯分校和爱荷华州州立大学合作。用于发电的风能系统是在陆地或水上运行以产生可用功率的复杂工程系统。这些系统由放置在适当支撑结构上的风力涡轮机阵列组成,并相互连接以向公用电网输送电力。陆上和海上风能的潜力是巨大的,但要实现这一潜力,将需要一个连贯的和行业相关的研究和开发计划,涉及行业,企业和政府。拟议的I/UCRC将致力于工业相关研究,以推动和支持低成本能源和高可靠性的风能系统的开发。合作伙伴打算在以下领域开展研究和教育合作计划:A)风能复合材料,B)基础和塔架,C)制造和设计,D)结构健康监测,无损检测和测试,E)控制系统和存储,F)风力系统规划,选址,运营和维护。拟议中的中心将提供一个论坛,使风力涡轮机制造商、关键部件制造商、辅助设备供应商、服务公司和风力项目开发商能够共同努力解决共同关心的问题。此外,该中心将致力于开发和整合教育活动,以提高不同学生群体的招聘和保留。该中心打算与KidWind合作,为K-12教师提供教材,并管理团队涡轮机设计竞赛的区域和国家挑战。该中心将为KidWind,工业和企业之间的思想转移提供一个渠道,并将与工业合作伙伴一起开发教育工作者和工业之间的区域培训计划,以创建一个可持续的未来STEM工作者管道,并引起妇女和代表性不足的群体的强烈兴趣。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mario Rotea其他文献
LFTB: An Efficient Algorithm to Bound Linear Fractional Transformations
- DOI:
10.1007/s11081-005-6795-z - 发表时间:
2005-06-01 - 期刊:
- 影响因子:1.700
- 作者:
Fernando D’Amato;Mario Rotea - 通讯作者:
Mario Rotea
Mario Rotea的其他文献
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{{ truncateString('Mario Rotea', 18)}}的其他基金
Phase II IUCRC at UT Dallas: Center for Wind Energy Science, Technology and Research (WindSTAR)
UT 达拉斯分校的第二阶段 IUCRC:风能科学、技术和研究中心 (WindSTAR)
- 批准号:
1916776 - 财政年份:2019
- 资助金额:
$ 1.15万 - 项目类别:
Continuing Grant
EAGER: Real-Time: Decision and Control of Complex Engineered Systems Enabled by Machine Learning and High-performance Computing
EAGER:实时:机器学习和高性能计算支持的复杂工程系统的决策和控制
- 批准号:
1839733 - 财政年份:2018
- 资助金额:
$ 1.15万 - 项目类别:
Standard Grant
I/UCRC: Wind Energy, Science, Technology, and Research (WindSTAR)
I/UCRC:风能、科学、技术和研究 (WindSTAR)
- 批准号:
1362033 - 财政年份:2014
- 资助金额:
$ 1.15万 - 项目类别:
Continuing Grant
Research Initiation Award: A State-Space Approach for Multiple Objective Synthesis of Linear Controllers
研究启动奖:线性控制器多目标综合的状态空间方法
- 批准号:
9108493 - 财政年份:1991
- 资助金额:
$ 1.15万 - 项目类别:
Standard Grant
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