A Revenue Optimizing Commercial Wind Turbine

收入优化的商用风力发电机

• 批准号: 327030-2012
• 负责人: Carriveau, Edward
• 金额: $ 1.53万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=509046
• 关键词: Revenue; Optimizing; Commercial; Wind; Turbine

An innovative research program is aimed at optimizing the profitability of wind energy assets in Canada. The proposal originates from a successful field research program that now includes students and researchers from both the Universities of Windsor and Western Ontario. Commercial wind farms are large capital investments. The cost of wind turbine maintenance is often significant as it is marked by the cost of service/replacement of the failed component(s) in addition to the cost of turbine downtime during the repairs. The commonly quoted service life of a commercial wind turbine is 20 years, depending on how these machines age, they may reach or exceed this predicted threshold while others may not make it at all. In all cases, as these machines approach their life expectancy it will be required that their operational and structural integrity be recertified in order to be insurable. The ability to determine if wind turbines have sustained damage due to everyday operational loading or due to isolated but extreme loading events like intense wind shears, tornados, or downbursts would be of significant value to a wind park owner. Understanding if, and potentially how, the structural capacity of a machine has been compromised can allow wind park operators to effect maintenance well in advance of more significant, potentially catastrophic failures. It may also help determine how to operate the machines to optimize revenue generation over their service life. The candidate and his team will utilize an evolving structural health monitoring system, developed at the University of Windsor, to track how damage occurs and accumulates during regular operational loading. This includes monitoring of the turbine foundation, an aspect that has not been comprehensively addressed by previous research. To simulate the structural impact of extreme wind events like wind shears, tornados, and downbursts, a 50:1 scaled aeroelastic model will be developed for testing in the WindEEE Dome swirling wind testing facility that is currently under construction at the University of Western Ontario. This multidisciplinary research program has great potential to yield discoveries in aerodynamics, structural mechanics, and machine learning.

一项创新的研究计划旨在优化加拿大风能资产的盈利能力。 该提案源于一个成功的实地研究计划，该计划现在包括来自温莎大学和西安大略大学的学生和研究人员。 商业风力发电场是一项巨大的资本投资。 风力涡轮机维护的成本通常是显著的，因为除了修理期间的涡轮机停机时间的成本之外，其还以故障部件的维修/更换的成本为标志。 商用风力涡轮机的普遍使用寿命是20年，这取决于这些机器的老化程度，它们可能达到或超过这一预测阈值，而其他机器可能根本无法达到这一阈值。 在所有情况下，随着这些机器接近其预期寿命，将需要对其操作和结构完整性进行重新认证，以便投保。 确定风力涡轮机是否由于日常运行负载或由于孤立但极端的负载事件（如强烈的风切变，龙卷风或下击暴流）而遭受损坏的能力对于风电场所有者来说具有重要价值。 了解机器的结构能力是否以及可能如何受到损害，可以使风电场运营商在更重大，潜在的灾难性故障之前进行维护。 它还可以帮助确定如何操作机器，以优化其使用寿命内的收入产生。 候选人和他的团队将利用温莎大学开发的一个不断发展的结构健康监测系统，来跟踪在常规操作载荷期间损坏是如何发生和积累的。 这包括监测涡轮机基础，这是以前的研究没有全面解决的一个方面。 为了模拟风切变、龙卷风和下击暴流等极端风事件对结构的影响，将开发一个50：1比例的气动弹性模型，用于在西安大略大学目前正在建设的WindmartDome旋流风试验设施中进行试验。 这个多学科的研究计划有很大的潜力，产生在空气动力学，结构力学和机器学习的发现。