COTUR项目:用于风能应用的海上湍流遥感

Etienne Cheynet, M. Flügge, J. Reuder, J. B. Jakobsen, Y. Heggelund, Benny Svardal, Pablo Saavedra Garfias, C. Obhrai, N. Daniotti, J. Berge, C. Duscha, N. Wildmann, I. Onarheim, M. Godvik
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引用次数: 3

摘要

摘要本文介绍了COTUR(湍流相干性与激光雷达)运动期间收集的测量策略和数据集。该现场试验于2019年2月至2020年4月在挪威西南海岸进行。相干性量化了涡旋的空间相关性,在海洋大气边界层中鲜为人知。这项研究的动机是需要更好地描述横向相干性,这在一定程度上决定了多兆瓦海上风力涡轮机的动态风荷载。在COTUR活动期间,利用陆基遥感技术研究了相干性。仪器装置由3台远程扫描多普勒风激光雷达、1台多普勒风激光雷达廓线仪和1台无源微波辐射计组成。同时使用WindScanner软件和Lidar Planner软件,将三个扫描器头同时定位到激光雷达风廓线提供的平均风向。辐射计仪器通过提供大气边界层的温度和湿度剖面来补充这些测量结果。初步结果表明,横向相干性随离海岸距离的变化没有记录。扫描光束略微向上指向,以记录表层内部和表层以上的湍流特征,从而进一步了解表层尺度对海上风力涡轮机湍流风荷载建模的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The COTUR project: Remote sensing of offshore turbulence for wind energy application
Abstract. The paper presents the measurement strategy and dataset collected during the COTUR (COherence of TURbulence with lidars) campaign. This field experiment took place from February 2019 to April 2020 on the southwestern coast of Norway. The coherence quantifies the spatial correlation of eddies and is little known in the marine atmospheric boundary layer. The study was motivated by the need to better characterize the lateral coherence, which partly governs the dynamic wind load on multi-megawatt offshore wind turbines. During the COTUR campaign, the coherence was studied using land-based remote sensing technology. The instrument setup consisted of three long-range scanning Doppler wind lidars, one Doppler wind lidar profiler and one passive microwave radiometer. Both the WindScanner software and Lidar Planner software were used jointly to simultaneously orient the three scanner heads into the mean wind direction, which was provided by the lidar wind profiler. The radiometer instrument complemented these measurements by providing temperature and humidity profiles in the atmospheric boundary layer. The preliminary results show an undocumented variation of the lateral coherence with the distance from the coast. The scanning beams were pointed slightly upwards to record turbulence characteristics both within and above the surface layer, providing further insight on the applicability of surface-layer scaling to model the turbulent wind load on offshore wind turbines.
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