基于CFD技术与遗传算法的风力机大厚度翼型优化设计

Optimal Design of Wind Turbine Thickness Airfoil Based on CFD Technology and Genetic Algorithm

针对目前风力机大厚度翼型设计参数空间有限、优化设计过程中气动力预测不准等问题,利用B样条函数表征通用翼型廓线,编制程序集成耦合翼型设计模块、任意翼型自适应网格模块、CFD流场计算模块、遗传算法优化模块,提出了基于CFD技术与遗传算法的风力机叶片大厚度翼型优化设计方法,并对比分析优化新翼型与DU97-W-300翼型的几何特性与气动性能。结果表明,优化方法设计的新翼型在主要攻角范围内具有较高的气动性能,在雷诺数为3.0×10^6的情况下,其升力系数、升阻比分别提高了13.555%、38.588%。该翼型优化设计方法为风力机大厚度通用翼型的设计与应用提供参考。

The problem for the current wind turbine blade thickness airfoils is the limit of the design parameter space and the inaccurate of aerodynamic prediction in the process of optimal design.The B-spline function is used to express the general airfoil profile.The airfoil design module,arbitrary airfoil adaptive mesh module,CFD flow field calculation module and genetic algorithm optimization module are integrated into the optimal program.A novel thickness airfoil design method is presented based on the CFD technology and genetic algorithm.The geometric and aerodynamic characteristics of the optimized airfoil and DU97-W-300airfoil are compared and analyzed.The results show that the new airfoil designed by this method has higher aerodynamic performance in the main angle of attack.When the Reynolds Numbers is 3.0×10^6,its lift coefficient and lift-drag ratio are increased by 13.555%and 38.588%,respectively.This airfoil optimization design method can provide reference for the design and application of large thickness general airfoil of wind turbine.