Optimization design of a reversible pump–turbine runner with high efficiency and stability

Frequent changes between pump and turbine operations pose significant challenges in the design of pump–turbine runners with high efficiency and stability. In this study, a multiobjective optimization design system, including a 3D inverse design, computational fluid dynamics, design of experiment, response surface methodology, and multiobjective genetic algorithm, is introduced and applied to the design of a middle-high-head pump–turbine runner. The key parameters in the design, including the blade loading, the blade lean at the high-pressure side of the runner, and the meridional channel shape, were selected as the optimized parameters. Two runners, one with a large positive blade lean and another with a large negative blade lean, were selected for further numerical investigations and measurements. Model tests show that both runners have good power performances. The runner with a negative blade lean has better stability than the runner with a positive blade lean.

[1]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[2]  T. Kuwabara,et al.  Design and dynamic response characteristics of 400 MW adjustable speed pumped storage unit for Ohkawachi Power Station , 1996 .

[3]  X H Wang,et al.  Full 3-D viscous optimization design of a reversible pump turbine runner , 2013 .

[4]  Mehrdad Zangeneh,et al.  On the Coupling of Inverse Design and Optimization Techniques for the Multiobjective, Multipoint Design of Turbomachinery Blades , 2009 .

[5]  Yasuyuki Enomoto,et al.  Design optimization of a high specific speed Francis turbine runner , 2012 .

[6]  Farid Bakir,et al.  Inverse Design Method for Centrifugal Impellers and Comparison with Numerical Simulation Tools , 2004 .

[7]  Arthouros Zervos,et al.  Pumped storage systems introduction in isolated power production systems , 2008 .

[8]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[9]  Eamon McKeogh,et al.  Techno-economic review of existing and new pumped hydro energy storage plant , 2010 .

[10]  Haruo Imano,et al.  Development of Pump Turbine for Seawater Pumped- Storage Power Plant , 1999 .

[11]  M. Zangeneh,et al.  A compressible three‐dimensional design method for radial and mixed flow turbomachinery blades , 1991 .

[12]  Zhao Yong-sheng.  Discussions on the development of pumped-storage power plants in China , 2003 .

[13]  Akira Goto,et al.  On the Design Criteria for Suppression of Secondary Flows in Centrifugal and Mixed Flow Impellers , 1997 .

[14]  M Zangeneh,et al.  Parametric design of a Francis turbine runner by means of a three-dimensional inverse design method , 2010 .

[15]  Xue Song,et al.  Development of China's pumped storage plant and related policy analysis , 2013 .

[16]  Hiroyoshi Watanabe,et al.  Multi-Objective Design Optimization of a Mixed-Flow Pump , 2009 .

[17]  Torbjørn K. Nielsen,et al.  Dependency on Runner Geometry for Reversible-Pump Turbine Characteristics in Turbine Mode of Operation , 2012 .

[18]  T. Hino,et al.  6.15 – Pumped Storage Hydropower Developments , 2012 .

[19]  Petras Punys,et al.  Assessment of renewable electricity generation by pumped storage power plants in EU Member States , 2013 .