期刊
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION
卷 42, 期 4, 页码 511-526出版社
SHANGHAI UNIV
DOI: 10.1007/s10483-021-2717-8
关键词
actuator line (AL) method; large-eddy simulation (LES); wake; tip vortex; wind turbine; O355; TK81; TK89
资金
- National Key Research and Development Program of China [2019YFE0192600, 2017YFE0132000, 2019YFB1503700]
- National Natural Science Foundation of China [51761135012, 11872248]
This study proposed improvements to the actuator line-large-eddy simulation method for more accurate modeling of wind turbine wake dynamics; utilized a precursor method to generate atmospheric inflow turbulence, modeled tower and nacelle wakes, and enhanced the body force projection method; wind tunnel experiments validated the numerical accuracy, showing good agreement with experimental results and improving prediction accuracy for wind turbine wake dynamics analysis and power prediction.
In a large wind farm, the wakes of upstream and downstream wind turbines can interfere with each other, affecting the overall power output of the wind farm. To further improve the numerical accuracy of the turbine wake dynamics under atmosphere turbulence, this work proposes some improvements to the actuator line-large-eddy simulation (AL-LES) method. Based on the dynamic k-equation large-eddy simulation (LES), this method uses a precursor method to generate atmospheric inflow turbulence, models the tower and nacelle wakes, and improves the body force projection method based on an anisotropic Gaussian distribution function. For these three improvements, three wind tunnel experiments are used to validate the numerical accuracy of this method. The results show that the numerical results calculated in the far-wake region can reflect the characteristics of typical onshore and offshore wind conditions compared with the experimental results. After modeling the tower and nacelle wakes, the wake velocity distribution is consistent with the experimental result. The radial migration velocity of the tip vortex calculated by the improved blade body force distribution model is 0.32 m/s, which is about 6% different from the experimental value and improves the prediction accuracy of the tip vortex radial movement. The method proposed in this paper is very helpful for wind turbine wake dynamic analysis and wind farm power prediction.
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