Research on simulated annealing genetic algorithm in optimization design of water-pimping wind-mill

被引:0
|
作者
Wu Y. [1 ,2 ]
Liu H. [3 ]
Hou S. [1 ]
Wang S. [1 ]
机构
[1] Institute of Water Resources for Pastoral Area, Ministry of Water Resources, Hohhot
[2] College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot
[3] China Resources Power Holdings Co., Ltd. Northern Region, Hohhot
来源
关键词
Aerodynamics; Airfoils; Genetic algorithm; Optimal design; Simulated annealing; Wind tunnel experiment; Wind water pumping;
D O I
10.19912/j.0254-0096.tynxb.2019-0374
中图分类号
学科分类号
摘要
In order to improve the aerodynamic performance of airfoil with wind driven water pump, an adaptive simulated annealing genetic algorithm(GASA) is designed based on the idea of adaptive simulated annealing genetic algorithm. which is applied to the optimization design of wind driven water pump and the airfoil. Self-adaptive genetic algorithm of simulated annealing (GASA) can make up for the shortcoming of low precision of local search when using traditional genetic algorithm (GA) for optimization design, and improve the efficiency of optimization algorithm. In this paper, the living example of optimization design of small-thickness airfoil profile NACA4412 used in wind driven water pump was provided. The lift-drag ratio of the airfoil profile optimized by the self-adaptive simulated annealing genetic algorithm and genetic algorithm is 4.02% and 3.89% higher than that of the standard airfoil respectively, which verified the effectiveness of the designed self-adaptive simulated annealing algorithm in the optimization design of wind driven water pump airfoil profile. The wind tunnel experiment is carried out on the optimized airfoil profile, and the experimental results show that the variation trend of surface pressure and velocity of the airfoil profile is basically consistent with that of the simulation results, which verifies the aerodynamic performance of the optimized airfoil profile in the actual environment. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码:385 / 390
页数:5
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