Optical fluid velocity measurements with application to dynamic transient flow over wind turbine blades

光学流体速度测量及其应用于风力涡轮机叶片上的动态瞬态流

• 批准号: RGPIN-2017-03974
• 负责人: Johnson, David
• 金额: $ 1.6万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=710484
• 关键词: Optical; fluid; velocity; measurements; application

Energy produced from wind turbines is growing worldwide. Like many energy technologies it is not without concerns such as cost of energy and reliability. Wind energy projects, while relatively new in Canada, have been established in Europe and the US for many years. In these regions, a significant number of engineers and researchers are employed in these industries. Within Canada, there is a current and foreseeable shortage of qualified personnel in renewable energy technologies, wind energy in particular. The overarching goal of this research is to advance the state of knowledge of wind turbine aerodynamics with innovative tools and techniques, ultimately contributing to the increased reliability and cost reduction of wind energy. This research concentrates on improving the understanding of the flow around rotating turbine blades through turbine aerodynamic measurement and modeling, and dynamic airfoil aerodynamic measurements. These detailed measurements around wind turbine blades will be made with innovative laser based optical flow measurement techniques such as flow visualization, laser Doppler velocimetry, and particle image velocimetry (PIV). Studies of turbine performance over realistic conditions, and at a scale that may be useful for modeling, validation and design are not common due to the scale of turbines themselves. In this proposal data will be collected from a wind turbine under various operating conditions in controlled conditions in a large wind facility in order to understand the behaviour of the flow, provide validation data for modeling of the flow and reliably quantify the above effects for inclusion in new tools for design. Detailed, high quality research measurements acquired during the research proposed will have a significant impact on the research community since measurements at the large scale are complex, costly and challenging to obtain. Due to the scale of the turbines studied, researchers trained in this proposal will have a unique opportunity to obtain advanced skills important for future industry or academic opportunities. Industry will benefit from the results obtained in this program since it will allow development of turbine performance models. Industry will also benefit from the knowledge and skills developed by the researchers in this program. There has been a recent focus on wind energy development in Canada and trained researchers with an excellent background in wind energy will make an impact on the investment and development of this energy industry in Canada. The research described here will elevate Canada's standing in the wind energy industry and international research community.

风力涡轮机产生的能量在全球范围内不断增长。 与许多能源技术一样，它并非没有能源成本和可靠性等问题。风能项目在加拿大相对较新，但在欧洲和美国已经建立多年。 在这些地区，有相当数量的工程师和研究人员受雇于这些行业。 在加拿大，目前和可预见的是，可再生能源技术，特别是风能技术方面的合格人员短缺。 这项研究的首要目标是通过创新的工具和技术来提高风力涡轮机空气动力学的知识水平，最终有助于提高风能的可靠性和降低成本。 本研究致力于通过涡轮机气动测量和建模以及动态翼型气动测量来提高对旋转涡轮机叶片周围流动的理解。这些围绕风力涡轮机叶片的详细测量将采用创新的基于激光的光学流量测量技术，如流动可视化、激光多普勒测速和粒子图像测速（PIV）。 由于涡轮机本身的规模，在实际条件下对涡轮机性能的研究并不常见，而且研究的规模可能对建模、验证和设计有用。在本建议书中，将在大型风力发电设施的受控条件下，在各种运行条件下从风力涡轮机收集数据，以了解气流的行为，为气流建模提供验证数据，并可靠地量化上述影响，以纳入新的设计工具中。 在拟议的研究期间获得的详细的高质量研究测量将对研究界产生重大影响，因为大规模的测量是复杂的，昂贵的和具有挑战性的。 由于所研究的涡轮机的规模，在该提案中接受培训的研究人员将有独特的机会获得对未来行业或学术机会至关重要的高级技能。 工业界将从该计划中获得的结果中受益，因为它将允许开发涡轮机性能模型。 工业也将受益于研究人员在该计划中开发的知识和技能。 最近，加拿大的风能开发受到关注，受过培训的研究人员具有良好的风能背景，将对加拿大能源行业的投资和发展产生影响。 这里描述的研究将提升加拿大在风能行业和国际研究界的地位。