GOALI/Collaborative Research: A System-Level Framework for Operation and Maintenance: Synergizing Near and Long Term Cares for Wind Turbines

GOALI/协作研究：运行和维护的系统级框架：协同风力涡轮机的近期和长期维护

• 批准号: 1300560
• 负责人: Yu Ding
• 金额: $ 20万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1300560&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; System; Level

The objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) collaborative research project is to understand how a systems approach to operations and maintenance can enhance the effectiveness and profitability of wind turbines. Currently, operation and maintenance concepts and methods are predominantly components-oriented. This project will show that a system-level approach can yield a better trade-off between risks and costs, thereby optimizing an engineered system for overall economic value. The team will develop a way to measure a wind turbine system's holistic performance and tracks its decline over time at a system level. Establishing a system-level metric enables us to actively adjust a turbine's operation and realize a trade-off between near-term power production and system reliability. It also allows the PIs to weigh cost of maintenance against loss in power efficiency, leading to cost-effective decisions of maintenance. The successful development of this new methodology ought to lead to cost-effective operation and maintenance of renewable energy productions, and reduce its overall cost and enhances their marketability (a key to the wind energy's 20percent-by-2030 goal and long-term sustainability). General Electric, a leading enterprise in wind energy, is a research partner of this project. GE's direct participation accelerates the application of the resulting methodologies to actual wind energy operational systems. The collaborative nature of this research and industrial involvement brings industrial perspective to the universities and is training our next-generation workforce in the new energy economy. The system-level concepts and methodologies, once demonstrated in wind energy applications, can go beyond and be applied to other power production systems, as well as automobile systems, aerospace systems, and marine systems.

这项学术与工业联络资助机会（GOALI）合作研究项目的目标是了解操作和维护的系统方法如何提高风力涡轮机的效率和盈利能力。目前，运维理念和方法主要是面向组件的。这个项目将表明，系统级方法可以在风险和成本之间产生更好的权衡，从而优化工程系统的整体经济价值。该团队将开发一种方法来测量风力涡轮机系统的整体性能，并在系统水平上跟踪其随时间的下降。建立系统级度量使我们能够主动调整涡轮机的运行，并实现近期发电量和系统可靠性之间的权衡。它还允许pi权衡维护成本和功率效率损失，从而做出具有成本效益的维护决策。这种新方法的成功开发应该会带来可再生能源生产的成本效益高的运营和维护，并降低其总体成本，提高其市场化程度（这是风能到2030年达到20%的目标和长期可持续性的关键）。通用电气是风能领域的领先企业，是该项目的研究合作伙伴。通用电气的直接参与加速了最终方法在实际风能运营系统中的应用。这项研究和工业参与的合作性质为大学带来了工业视角，并在新能源经济中培养了我们的下一代劳动力。系统级的概念和方法，一旦在风能应用中得到证明，就可以超越并应用于其他电力生产系统，以及汽车系统、航空航天系统和海洋系统。