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Shape optimization of draft tubes for Agnew microhydro turbines

机译:Agnew微型水轮机尾水管的形状优化

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In this study, the shape optimization of draft tubes utilized in Agnew type microhydro turbines has been discussed. The design parameters of the draft tube such as the cone angle and the height above the tail-race are considered in defining an optimization problem whose goal is to maximize the pressure recovery factor and minimize the energy loss coefficient of flow. The design space is determined by considering the experimental constraints and parameterized by the method of face-centered uniform ascertain distribution. The numerical simulations are performed using the boundary conditions found from laboratory tests and the obtained results are analyzed to create and validate a feed-forward neural network model, which is implemented as a surrogate model. The optimal Pareto solutions are finally determined using the NSGA-Ⅱ evolutionary algorithm and compared for different inlet conditions. The results predict that the high swirl of the incoming flow drastically reduces the performance of the draft tube.
机译:在这项研究中,讨论了用于Agnew型微型水轮机的尾水管的形状优化。在定义最优化问题时考虑了引流管的设计参数,例如锥角和尾部赛道上方的高度,其目标是最大化压力恢复因子并最小化流动的能量损失系数。设计空间是通过考虑实验约束条件确定的,并通过以面心为中心的均匀确定方法进行参数化。使用从实验室测试中发现的边界条件进行数值模拟,并对获得的结果进行分析,以创建和验证作为替代模型实现的前馈神经网络模型。最终,使用NSGA-Ⅱ进化算法确定了最优的帕累托解,并针对不同的入口条件进行了比较。结果预测,流入气流的高涡流会严重降低引流管的性能。

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