Wake meandering and its relationship with the incoming wind characteristics: a statistical approach applied to long-term on-field observations
Wake meandering and its relationship with the incoming wind characteristics: a statistical approach applied to long-term on-field observations
复制标题
尾流蜿蜒及其与来风特征的关系：应用于长期现场观测的统计方法
DOI：
10.1088/1742-6596/854/1/012045
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
N. Girard
中科院分区：
文献类型：
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作者：
E. Garcia;S. Aubrun;M. Boquet;P. Royer;O. Coupiac;N. Girard
在多篇论文中，指出了大气流动在风力涡轮机（WT）尾流发展中的重要性，明确了需要进行长期的现场观测才能正确描述尾流的发展、其结构和动力学。这项工作提出了一种统计方法来计算尾流蜿蜒 yw 以及这种行为与来风条件和邻近尾流的关系。这项工作是在法国 SMARTEOLE 项目的框架内开发的。该研究基于为期 7 个月的测量活动，其中使用了脉冲扫描激光雷达系统。地面激光雷达可测量一段区域的流场，从而可以准水平捕获两个风力涡轮机的尾流。根据轮毂高度处的热稳定性、风向和风速进行分析过滤来风条件；因此，在风况相似的时期产生的尾流预计是相似的，因此可以跟踪和统计分析曲流。发现了明确的尾流演化，并对尾流蜿蜒进行的不确定性分析揭示了一些有趣的特征，包括在置信区间为 95% 的置信区间内，平均尾流位置达到 2 × 10-2 D 和 8 × 10-2 D 之间的统计不确定性所需的样本数量。
In several papers, the importance of the atmospheric flow in the wake development of wind turbines (WT) has been pointed out, making it clear that it is necessary to have long-term on-field observations for an appropriate description of the wake development, its structure and dynamics. This work presents a statistical approach to wake meandering, yw, and the relationship that this behavior has with the incoming wind conditions and neighboring wakes. The work was developed in the framework of the French project SMARTEOLE. The study is based on a 7-month measurement campaign in which a pulsed scanning LiDAR system was used. The ground based LiDAR, measures the flow field in a segment such that the wake of two wind turbines can be captured quasi-horizontally. The analysis filters the incoming wind conditions according to the thermal stability, wind direction and wind velocity at hub height; therefore, the wakes that are developed in periods with similar wind conditions are expected to be analogous, hence meandering can be tracked and statistically analyzed. A well-defined wake evolution was found and the uncertainty analysis made on the wake meandering uncovered some interesting characteristics, including the number of samples required to reach a statistical uncertainty on the mean wake position between 2 × 10-2 D and 8 × 10-2 D for a confidence interval of 95%.