轴流风扇作为压缩空气储能电机冷却系统的关键部件,其性能直接影响电机的散热效果。为提升散热效果,以轴流风扇在流量27.5m3/s工况下的全压和全压效率为优化目标,以风扇的叶片数量、安装角和旋转角为变量,对风扇结构进行优化。采用拉丁超立方抽样法选取设计点,通过CFD仿真计算样本集,建立了Kriging模型、多项式响应面模型和径向基函数模型,对比三个代理模型的预测精度后,选择Kriging模型,并结合NGSA-Ⅱ算法得到Pareto前沿解集。通过TOPSIS方法寻优得到最优结构,优化后的风扇全压和全压效率分别提升了93.7%和2.1%。进一步研究风扇在多工况下的性能,结果表明优化后风扇在流量20m3/s~32.5m3/s范围内全压和全压效率均得到提升。

The axial flow fan is a key component of the cooling system of the motor for compressed air energy storage, and its performance directly affects the heat dissipation effect of the motor. To improve the heat dissipation effect, taking the total pressure and total pressure efficiency of the axial flow fan under the working condition of a flow rate of 27.5 m3/s as the optimization objectives, and taking the number of fan blades, installation angle and rotation angle as variables, the structure of the fan is optimized. The Latin hypercube sampling method is adopted to select the design points, and the sample set is calculated through CFD simulation. The Kriging model, polynomial response surface model and radial basis function model are established. After comparing the prediction accuracies of the three surrogate models, the Kriging model is selected, and the Pareto frontier solution set is obtained in combination with the NGSA-II algorithm. The optimal structure is found through the TOPSIS method. After optimization, the total pressure and total pressure efficiency of the fan are increased by 93.7% and 2.1% respectively. The performance of the fan under multiple working conditions is further studied. The results show that after optimization, the total pressure and total pressure efficiency of the fan are both improved within the flow rate range of 20 m3/s to 32.5 m3/s.

TH42

河南省重大科技专项