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首页> 外文期刊>Advances in Mechanical Engineering >Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine:
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Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine:

机译：同时提高反向旋转式水泵水轮机的水泵和水轮机效率：

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This article presents a multi-objective optimization to improve the hydrodynamic performance of a counter-rotating type pump-turbine operated in pump and turbine modes. The hub and tip blade angles of impellers/runners with four blades, which were extracted through a sensitivity test, were optimized using a hybrid multi-objective genetic algorithm with a surrogate model based on Latin hypercube sampling. Three-dimensional steady incompressible Reynolds-averaged Navier–Stokes equations with the shear stress transport turbulence model were discretized via finite volume approximations and solved on a hexahedral grid to analyze the flow in the pump-turbine domain. For the major hydrodynamic performance parameters, the pump and turbine efficiencies were selected as the objective functions. Global Pareto-optimal solutions were searched using the response surface approximation surrogate model with the non-dominated sorting genetic algorithm, which is a multi-objective genetic algorithm. The trade-off between the...
机译：本文提出了一种多目标优化方法，以提高以泵和涡轮机模式运行的反向旋转式水轮机的水动力性能。通过敏感性测试提取的具有四个叶片的叶轮/叶轮的轮毂和末端叶片角度是使用混合多目标遗传算法和基于拉丁超立方体采样的替代模型进行优化的。通过有限体积近似将具有剪切应力传输湍流模型的三维稳态不可压缩雷诺平均Navier-Stokes方程离散化，并在六面体网格上求解以分析泵轮机域中的流动。对于主要的水力性能参数，选择泵和涡轮效率作为目标函数。使用响应面近似替代模型和非主导排序遗传算法（一种多目标遗传算法），搜索全局Pareto最优解。两者之间的权衡

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