Large-scale wind turbine blade design and aerodynamic analysis

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 algorithm 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.     

旋风分离器的速度分布指数n的分析

本文分析了速度分布指数n与简体尺寸、雷诺数以及轴向涡度ζ_z的关系。已知旋风器尺寸和运转条件则利用测得的n值计算捕集分离粒径和ζ_z引起的压力损失。