Planning Grant: Engineering Research Center for Offshore Wind Energy Center for Infrastructure Resilience, Control, Innovation, and Transmission (OWE-CIRCIT)

规划拨款:海上风能基础设施弹性、控制、创新和传输中心工程研究中心 (OWE-CIRCIT)

基本信息

  • 批准号:
    1840424
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-01 至 2022-02-28
  • 项目状态:
    已结题

项目摘要

The Planning Grants for Engineering Research Centers competition was run as a pilot solicitation within the ERC program. Planning grants are not required as part of the full ERC competition, but intended to build capacity among teams to plan for convergent, center-scale engineering research.The Offshore Wind Energy (OWE) industry in Europe is booming, and has reduced electricity generation costs to less than $0.10 per kWh. The U.S. OWE resource is enormous, and could provide 10-20 times the national need for electricity. The U.S. is just starting to develop this resource, does not yet have an industrial supply chain for OWE, and there are unique U.S. challenges because of hurricanes, complex seabed conditions, and grid integration. In order to address these challenges, and to design resilient and cost-effective heavy OWE infrastructure (e.g., structures, transmission system), a convergent approach is needed. Failure for the U.S. to take this approach, to plan accordingly, to maximize continuous learning, and to take disruption actions when needed, would be a hugely missed opportunity for society to benefit from the breadth of U.S. expertise and knowhow, and to make technological advancements that have broad applications. This ERC planning grant project will bring together those with relevant expertise in OWE from several engineering disciplines, fields of science, the national laboratories, state and federal resource management agencies, industrial stakeholders, and developers; as well as those from affected coastal communities. This group will design a data-driven multi-disciplinary system-level framework that identifies where advances are needed to build a resilient infrastructure (blades, turbine, support structure, transmission grid, standards, and models) that would enable a large and responsible level of OWE to be harvested. The technical areas to be integrated together in this frame will include but are not limited to metocean characterization (wind, waves, currents), composite materials, aerodynamic modeling, geo-engineering parameters, stability, fatigue, corrosion, inspection, control, renewable energy integration, social acceptance of OWE development, and impact on marine and coastal ecosystems.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.
工程研究中心规划补助金竞赛是作为 ERC 计划内的试点征集活动进行的。 整个 ERC 竞赛不需要规划拨款,而是旨在培养团队之间的能力,以规划融合的、中心规模的工程研究。欧洲的海上风能 (OWE) 行业正在蓬勃发展,并降低了发电成本每千瓦时低于 0.10 美元。美国欠电资源巨大,可满足全国电力需求的 10-20 倍。美国刚刚开始开发这种资源,还没有 OWE 的工业供应链,而且由于飓风、复杂的海底条件和电网整合,美国面临着独特的挑战。为了应对这些挑战,并设计有弹性且具有成本效益的重型 OWE 基础设施(例如结构、传输系统),需要采用融合方法。如果美国未能采取这种方法,制定相应的计划,最大限度地持续学习,并在需要时采取颠覆性行动,那么社会将错失从美国广泛的专业知识和技术中受益并取得技术进步的机会具有广泛的应用。该 ERC 规划拨款项目将汇集来自多个工程学科、科学领域、国家实验室、州和联邦资源管理机构、工业利益相关者和开发商的 OWE 相关专业知识;以及来自受影响沿海社区的人们。该小组将设计一个数据驱动的多学科系统级框架,确定在构建弹性基础设施(叶片、涡轮机、支撑结构、传输网格、标准和模型)方面需要取得哪些进展,从而实现大型且负责任的水平的欠债将被收获。该框架中整合的技术领域将包括但不限于气象海洋特征(风、波浪、海流)、复合材料、空气动力学建模、地球工程参数、稳定性、疲劳、腐蚀、检查、控制、可再生能源该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Data Classification and Parameter Identification in Power Systems by Manifold Learning
通过流形学习进行电力系统数据分类和参数识别
  • DOI:
    10.1109/ptc.2019.8810557
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Saric, Andrija T.;Transtrum, Mark K.;Stankovic, Aleksandar M.
  • 通讯作者:
    Stankovic, Aleksandar M.
Deep Learning Ensemble Based New Approach for Very Short-Term Wind Power Forecasting
Effect of wind directionality on fatigue life of monopile support structures for offshore wind turbines
风向对海上风机单桩支撑结构疲劳寿命的影响
Unsupervised Hybrid Deep Generative Models for Photovoltaic Synthetic Data Generation
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Daniel Kuchma其他文献

Daniel Kuchma的其他文献

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{{ truncateString('Daniel Kuchma', 18)}}的其他基金

NSF Engines Development Award: Accelerating A Just Energy Transition Through Innovative Nature-Inclusive Offshore Wind Farms (CT,DE,MA,MD,NJ,RI,VA)
NSF 发动机开发奖:通过创新的自然包容性海上风电场加速公正的能源转型(康涅狄格州、特拉华州、马里兰州、马里兰州、新泽西州、罗德岛州、弗吉尼亚州)
  • 批准号:
    2315558
  • 财政年份:
    2024
  • 资助金额:
    $ 10万
  • 项目类别:
    Cooperative Agreement
NEESR-SD: ExVis Tool and Case Study Implementation for the Visualization, Fusion, and Analysis of Experimental Test Data on Concrete Structural Walls
NEESR-SD:用于混凝土结构墙实验测试数据可视化、融合和分析的 ExVis 工具和案例研究实施
  • 批准号:
    0830364
  • 财政年份:
    2008
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Enhanced Load Control and Education-Training Features for UIUC NEES Site
UIUC NEES 站点增强的负载控制和教育培训功能
  • 批准号:
    0429266
  • 财政年份:
    2004
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
CAREER: Tools and Research to Advance the Use of Strut-and-Tie Models in Education and Design
职业:促进支柱拉杆模型在教育和设计中使用的工具和研究
  • 批准号:
    0092668
  • 财政年份:
    2001
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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