Large-scale wind turbine blade design and aerodynamic analysis

• Published in: Chinese science bulletin 2012-02, Vol.57 (5), p.466-472
• Main Authors: Wang, TongGuang, Wang, Long, Zhong, Wei, Xu, BoFeng, Chen, Li
• Format: Article
• Language: English
• Subjects: Chemistry/Food Science; Earth Sciences; Engineering; Humanities and Social Sciences; Life Sciences; multidisciplinary; Physics; Science; Science (multidisciplinary); 大型风力发电机组; 有限体积法; 涡轮叶片; 空气动力学分析; 空气动力学性能; 算法设计; 计算流体动力学; 风力涡轮机
• ISSN: 1001-6538; 1861-9541
• DOI: 10.1007/s11434-011-4856-6

Incorporating controlled elitism and dynamic distance crowding strategies, a modified NSGA-Ⅱ algorithm based on a fast and genetic non-dominated sorting algorithm is developed with the aim of obtaining a novel multi-objective optimization design algo- rithm for wind turbine blades. As an example, a high-performance 1.5 MW wind turbine blade, taking maximum annual energy production and minimum blade mass as the optimization objectives, was designed. A 1/16-scale model of this blade was tested in a 12 m × 16 m wind tunnel and the experimental results validated the high performance. Moreover, both the computational fluid dynamics （CFD） method and a free-vortex method （FVM） were applied to calculating the aerodynamic performance, which was consistent with the experimental data. For completeness, the CFD and FVM were used to analyze the wake structure, and good and consistent results were obtained between them.