Savonius型风机具有诸多优点、应用前景广阔，但捕能效率低的固有缺陷严重限制了其发展。优化其叶片形状可显著提高其捕能效率，但现有设计方法普遍过于依赖经验、效率低、结果差。本研究拟综合运用计算机图形学、计算流体动力学、代理模型技术和计算智能等多学科知识，以提高风机功率系数为目标，研究该类型风机叶片形状的优化设计方法。首先基于贝塞尔曲线参数化表达叶片形状，其次基于试验设计方法确定决策空间内的样本点并利用计算流体动力学数值模拟技术获得各样本点的响应，然后基于径向基函数模型、Kriging模型建立计算量小、求解效率高的代理模型，并利用改进花授粉智能优化算法寻优代理模型获取优化结果，最后基于Isight平台集成整个设计过程，从而建立一套面向该类型风机叶片形状设计的高效可靠的智能优化方法。本研究可突破现有设计方法的局限，提高Savonius型风机的捕能效率和设计水平，具有重要的理论价值和现实意义。

Savonius wind turbine has numerous advantages and broad application prospects, however, the inherent defect of low energy capture efficiency has severely limited its development. Optimizing the shape of its blades can significantly improve its energy capture efficiency, while the current design methods still have some deficiencies, such as relying too much on design experience, low efficiency, and poor results. This research intends to study the optimal design method for the blade shape of Savonius wind turbine aims to increase its power coefficient by comprehensively using the knowledges of computer graphics, CFD, surrogate models, and computational intelligence. Firstly, the blade shape is parameterized using Bessel curves. Then, some sample points are determined in the decision space using experimental design methods, and their responses are accurately calculated using CFD numerical simulation. Next, surrogate models with less computational complexity, higher solving efficiency, and enough fitting accuracy are built using these sample points and their responses and based on radial basis function model and Kriging model. After, improved flower pollination intelligent optimization algorithms are adopted to solve these surrogate models to obtain the best shape parameters. Finally, the above design procedures are integrated together based on Isight platform to form an efficient and reliable intelligent optimization method for the blade shape of Savonius wind turbine. This study can break through the limitations of existing design methods and improve the energy capture efficiency and the design level of Savonius wind turbine, and thus has important theoretical value and practical significance.