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Investigating the effect of geometrical parameters of an optimized wind turbine blade in turbulent flow

机译：研究优化的风力涡轮机叶片的几何参数在湍流中的影响

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摘要

The geometry of a wind turbine must always be optimized in order to capture the maximum amount of available power. The main geometrical parameters of a wind turbine are chord and twist distributions and also airfoils at different sections. In this research study it is aimed to optimize the geometry of a wind turbine and also investigating the influence of geometrical parameters on the performance of the turbine in 1% and 8% turbulence intensities. For this purpose, first a blade element momentum theory code has been developed and has been validated using available experimental data. Then, six chord distribution functions, ten twist distribution functions and also 12 airfoils are considered in order to obtain the optimum geometry. According to the discrete nature of the problem, popular ant colony optimization algorithm has been utilized. After obtaining the optimum design, computational fluid dynamics has been utilized for studying the physics of the flow. The results indicated that by increasing turbulence intensity, the wake recovery gets faster because of increasing the wake turbulent kinetic energy. And also it was shown that for the optimized geometry the flow separation is delayed therefore more power production can be achieved.
机译：必须始终优化风力涡轮机的几何形状，以捕获最大量的可用功率。风力涡轮机的主要几何参数是弦和扭曲分布以及不同截面的机翼。在本研究中，旨在优化风力涡轮机的几何形状，并研究几何参数对1％和8％湍流强度下的涡轮机性能的影响。为此，首先开发了叶片元件动量理论代码，并已使用可用的实验数据进行了验证。然后，考虑六个弦分布函数，十个扭曲分布函数以及十二个机翼，以获得最佳几何形状。根据问题的离散性质，已使用了流行的蚁群优化算法。在获得最佳设计之后，计算流体动力学已被用于研究流动的物理性质。结果表明，通过增加湍流动能，通过增加湍流强度，使尾流恢复更快。并且还表明，对于优化的几何形状，流动分离被延迟，因此可以实现更大的功率产生。

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