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Optimization of airfoil Based Savonius wind turbine using coupled discrete vortex method and salp swarm algorithm

机译:基于离散涡旋法和salp swarm算法的翼型Savonius风机优化

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In this research study, the optimization study of an airfoil type Savonius turbine is presented, focusing on maximizing the power coefficient. For this purpose, a Discrete Vortex Method (DVM) code for calculating power coefficient, a Class Shape Transfer (CST) function code for generating coordinates of airfoils and a Salp Swarm Algorithm (SSA) code for optimization have been developed. These three codes are coupled and an optimization procedure is generated. The decision variables of the mentioned problem are the CST function coefficients and the objective is the power coefficient. For verification of the results, CFD simulations are utilized. The results indicate that the achieved geometry could increase the power coefficient of a conventional Savonius turbine up to 27%. Also, the physical results indicate that the suction area and pressure magnitude of the pressure side of the airfoil type turbine is more extensive than simple type Savonius turbine at the optimization TSR. Therefore, in the airfoil type wind turbine, the great pressure difference causes more force at the surface of blades and in results, an increase in power coefficient occurs. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在本研究中,以最大功率系数为重点,介绍了翼型萨文尼乌斯涡轮机的优化研究。为此,已经开发了用于计算功率系数的离散涡旋方法(DVM)代码,用于生成机翼坐标的类形状转换(CST)功能代码和用于优化的Salp Swarm算法(SSA)代码。耦合这三个代码,并生成优化过程。提到的问题的决策变量是CST函数系数,目标是功率系数。为了验证结果,使用了CFD模拟。结果表明,所获得的几何形状可以将传统的Savonius涡轮机的功率系数提高到27%。而且,物理结果表明,在优化的TSR上,翼型涡轮机的压力侧的吸气面积和压力大小比简单型Savonius涡轮机大。因此,在翼型式风力涡轮机中,较大的压差在叶片表面处引起更大的力,结果,出现功率系数的增加。 (C)2019 Elsevier Ltd.保留所有权利。

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