Advanced wind turbine designs and technologies have been evolved to take advantage of wind energy. Despite the significant progress already attained, the need for a dependable wind energy converter particularly devoted to small-scale applications remains a challenging issue. Due to its design simplicity, Savonius wind turbine is the most suitable candidate for such applications. It operates at low wind speed, with the necessary starting capacity and insensitivity to wind directions. Moreover, in the literature related to wind energy, the Savonius rotor is known for its low performance compared to other types of wind turbines. In this paper, we present a study into the utilization of Bézier curves and transient computational fluid dynamics (CFD) to optimize the conventional Savonius blade design. The k-ω SST turbulence model is employed to perform a series of CFD simulations in order to assess the power coefficient of each generated design. A validation of optimization results using the Taguchi method was carried out. The comparative analysis of the torque and power coefficients shows a significant increase in the power coefficient (C_p). The optimal C_p is 0.35 and is 29% higher than the conventional Savoniu wind turbine (SWT). Subsequently, the effectiveness of the innovative geometry is proved by improved pressure and velocity distributions around blades of novel design.

先进的风力涡轮机设计和技术已经得到发展，可以利用风能。尽管已经取得了巨大的进步，但是对可靠的风能转换器的需求仍然是一个具有挑战性的问题，该转换器特别致力于小型应用。由于其设计简单性，Savonius风力涡轮机最适合此类应用。它以低风速运行，具有必要的启动能力和对风向不敏感。此外，在与风能有关的文献中，萨沃尼乌斯转子以其与其他类型的风力涡轮机相比性能低而著称。在本文中，我们对贝塞尔曲线和瞬态计算流体动力学（CFD）的利用进行了研究，以优化常规的Savonius叶片设计。为了评估每个生成设计的功率系数，采用了k-ωSST湍流模型来执行一系列CFD仿真。使用Taguchi方法对优化结果进行了验证。扭矩和功率系数的比较分析表明，功率系数（C_p）。最佳C _p为0.35，比传统的Savoniu风力涡轮机（SWT）高29％。随后，通过改进新颖设计叶片周围的压力和速度分布，证明了创新几何形状的有效性。