CAREER:Tackling Fluid Dynamics at Full Scale for Wind Energy Applications

这项提议的目标是通过跟踪雪花的轨迹并将其用作流动示踪剂，直接在野外尺度上探索大气边界层(ABL)的结构。这种方法将消除目前在按比例缩小的风洞实验中进行的比例和建模调整。这项研究的发现将直接影响风能行业。拟议的研究活动被纳入该提案的教育计划，该计划的重点是使用实地实验室和风力涡轮机作为实践学习设施。教师、研究生和本科生都将参与这个项目。PI建议开发一种超大规模粒子图像测速(SLPIV)技术，并将通过实验室规模的实验来补充，以了解风力涡轮机周围的全面尾流动力学。这一提议的创新之处在于，SLPIV将通过使用雪花作为自然示踪剂来实施，以量化明尼苏达大学全仪表化风力涡轮机周围的来流和尾流流场。然后，现场数据将为实验室规模实验的设计提供信息，这些实验旨在通过调整可控的实验参数来重现关键的全尺度尾流现象。这项提案的目标是破译全尺寸风力涡轮机背后的大气层动态，这一目标具有基础和实际意义。更好地了解涡轮尾迹行为和流固相互作用可以使风力涡轮机的效率提高10-20%，而SLPIV作为一种普遍存在的实验方法的建立，可以用来研究大尺度的ABL湍流。我们的气候、农业和商业都受到了ABL内部动荡的影响。

1454259HongThe goal of this proposal is to explore the structure of the atmospheric boundary layer (ABL) directly at field scales by tracking the trajectories of snowflakes and using them as flow tracers. This approach will remove scaling and modeling adjustments currently made in scaled down wind tunnel experiments. Findings from this research will impact directly the wind energy industry. The proposed research activities are integrated into the educational plan of the proposal, which is centered on the use of the field laboratory and the wind turbine as a hands-on learning facility. Teachers, graduate and undergraduate students will participate in this project. The PI proposes to develop a super-large-scale particle image velocimetry (SLPIV) technique that will be complemented by laboratory scale experiments to understand full-scale wake dynamics around wind turbines. The innovation of this proposal is that SLPIV will be implemented by using snowflakes as natural tracers to quantify incoming turbulence and wake flow fields around a fully-instrumented wind turbine at the University of Minnesota. The field data will then inform the design of laboratory scale experiments that will aim to reproduce the key full-scale wake phenomena by tuning controllable experimental parameters. This proposal's goal to decipher the dynamics of the atmospheric layer behind a full scale wind turbine has both fundamental and practical importance. Better understanding of the turbine wake behavior and the fluid-solid interaction can lead to 10-20% improvements in the efficiency of wind turbines, while the establishment of the SLPIV as a ubiquitous experimental method can allow its use to study large scale ABL turbulence. Our climate, agriculture, and commerce are affected by the turbulence within the ABL.