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Aerodynamic optimal design of wind turbine blades using genetic algorithm

机译：基于遗传算法的风机叶片气动优化设计。

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Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an objective function, which is one of the most common choices of objective function. The optimization variables also involve chord and twist distribution variations and the placement of the airfoil sections along the blade length. The optimal blade shape is investigated for the maximum output power at a specific wind speed, rotor diameter and airfoil profile. The modified BEM results are compared with an experimental measurement indicating reliable results. The results show that considering placement of the airfoils as design variables in addition to chord and twist rate has a significant effect on the optimal output power. Finally, the objective function (output power) is improved by 10% compared to the base function.
机译：近年来，风能已被广泛认为并用作最有前途的可再生能源之一。在当前的研究中，利用叶片单元动量理论（BEM）对迎风三叶片水平轴涡轮进行了空气动力学分析，并采用遗传算法（GA）作为优化方法。输出功率生成被视为目标函数，这是目标函数的最常见选择之一。优化变量还涉及弦和扭曲分布的变化以及沿叶片长度的翼型截面的放置。针对特定风速，转子直径和翼型轮廓下的最大输出功率，研究了最佳叶片形状。将修改后的BEM结果与表明可靠结果的实验​​测量结果进行比较。结果表明，除了翼弦和扭曲率以外，将翼型的放置作为设计变量还对最佳输出功率产生重大影响。最后，与基本函数相比，目标函数（输出功率）提高了10％。

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