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基于格子玻尔兹曼方法的风力涡轮机叶片尾迹流的深入定量分析。

An in-depth quantitative analysis of wind turbine blade tip wake flow based on the lattice Boltzmann method.

机构信息

School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, China.

Xinjiang Branch, Chinese Academy of Science, Ürümqi, China.

出版信息

Environ Sci Pollut Res Int. 2021 Aug;28(30):40103-40115. doi: 10.1007/s11356-020-09511-8. Epub 2020 Jun 6.

DOI:10.1007/s11356-020-09511-8
PMID:32506404
Abstract

With the continuous increase in the total quantity and quality of wind energy used by society, the aerodynamic complexity of wind turbine impellers has also gradually increased. This requires a more accurate analysis and understanding of the aerodynamic performance of important parts of the wind turbine impeller. The blade tip vortex is undoubtedly one of the most important issues. This article used the state-of-the-art lattice Boltzmann method (LBM), combining large eddy simulation (LES) and wall-adapting local-eddy (WALE) model, to investigate the unsteady flow characteristics of the blade tip region due to impeller wake for a wind turbine. The trend of this calculation result is consistent with the experimental data, both for the axial force and the torque on the impeller. Therefore, it indicates the calculation model of LBM is reasonable and effective. The relevant in-depth results clearly showed the dynamic stability of a spiral structure will increase as operating conditions continue to advance and it is also synchronously affected by the tower wake flow structures. The fluctuation amplitude of the static pressure value on both sides of the impeller gradually decreases with time. The distribution of static pressure near the leading edge of the tip is very different for each blade due to the influences of turbulence intensity and the tower shadow effect. The random minor fluctuations of the axial force and torque both exhibit similar characteristics, and the overall torque is more sensitive to random changes in the tip vortex on the impeller surface.

摘要

随着社会对风能总量和质量的不断增加,风力涡轮机叶轮的空气动力学复杂性也逐渐增加。这就要求对风力涡轮机叶轮的重要部件的空气动力性能进行更准确的分析和理解。叶片尖端涡旋无疑是最重要的问题之一。本文采用最先进的格子玻尔兹曼方法(LBM),结合大涡模拟(LES)和壁适应局部涡(WALE)模型,研究了风力涡轮机由于叶轮尾流而导致的叶片尖端区域的非定常流动特性。该计算结果的趋势与实验数据一致,无论是对叶轮的轴向力还是扭矩都是如此。因此,这表明 LBM 的计算模型是合理有效的。相关的深入结果清楚地表明,随着运行条件的不断推进,螺旋结构的动力稳定性会增加,同时也会受到塔架尾流流动结构的影响。叶轮两侧的静压值随时间的波动幅度逐渐减小。由于湍流强度和塔影效应的影响,叶片前缘附近的静压分布因每个叶片而异。轴向力和扭矩的随机小波动都表现出相似的特征,而且整体扭矩对叶轮表面上的尖端涡旋的随机变化更为敏感。

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