Optimization design of a reversible pump–turbine runner with high efficiency and stability
Baoshan Zhu,
Xuhe Wang,
Lei Tan,
Dongyue Zhou,
Yue Zhao and
Shuliang Cao
Renewable Energy, 2015, vol. 81, issue C, 366-376
Abstract:
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.
Keywords: Pump–turbine; 3D inverse design; Multiobjective optimization; CFD; Model test (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (22)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:81:y:2015:i:c:p:366-376
DOI: 10.1016/j.renene.2015.03.050
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