Optimization Design of Duct Geometry Based on Particle Swarm Optimization Algorithm

DI-YANG TIAN, RUI HE, GUO-JUN ZHU, JIAN-JUN FENG

Abstract


An optimization method for Darrieus turbine’s duct geometry is presented in this paper. In this method, the geometry parameters of the duct are used as optimal variables, and the energy output quality parameters of turbine are used as objective function. Then the particle swarm optimization (PSO) algorithm is introduced as search strategy to carry out the optimization of duct internal wall geometry. During the optimization procedure, the Kriging response model that meets accuracy requirement is used to replace the CFD simulation method, which offers significant time saving. According to the comparison of the energy output characteristics after the duct optimization, it can be found that the optimization of the duct internal wall geometry effectively improves the stability of the power coefficient. Meanwhile, the better energy-gathering effect also increases the power of the turbine. All these results indicate that the optimization method of duct geometry is feasible and effective

Keywords


Darrieus turbine, Duct, Kriging response model, Optimization.Text


DOI
10.12783/dteees/peems2019/34006

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