2016
DOI: 10.1177/1687814016676680
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Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine

Abstract: 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 tra… Show more

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Cited by 8 publications
(11 citation statements)
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“…The boundary conditions, solver governing equations, and post processing of the results were performed using ANSYS CFX and CFD-Post, respectively [3]. The inlet total pressure and the outlet mass flow rate were set as the inlet/outlet boundary conditions.…”
Section: Solution Strategiesmentioning
confidence: 99%
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“…The boundary conditions, solver governing equations, and post processing of the results were performed using ANSYS CFX and CFD-Post, respectively [3]. The inlet total pressure and the outlet mass flow rate were set as the inlet/outlet boundary conditions.…”
Section: Solution Strategiesmentioning
confidence: 99%
“…The pressure loading (p + -p -: the pressure difference across the blade) is calculated through the following equation for incompressible flows. As shown in Eq (13), the blade pressure loading is directly proportional to distribution of @(rV θ )/@m. And, the local Euler head is defined as the product of the local peripheral speed and the circumferential component of absolute velocity divided by the gravity acceleration (given in Eq (14)) [3], which has the same distribution with the expression of rV θ . Thus, the distribution of the local Euler head along the meridional direction could be adopted to describe the blade loading.…”
Section: Local Euler Head Distributionmentioning
confidence: 99%
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“…Multi-objective optimization to improve the hydrodynamic performance of a counter-rotating type pump-turbine operated in pump and turbine modes was illustrated [43]. The inlet and outlet 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.…”
Section: Modification In Patmentioning
confidence: 99%
“…Consequently, this model was used for subsequent simulations. The use of k- SST model gives reasonably accurate results for CFD analysis of fluid machinery [14][15][16][17][18]. An intercooler exits between the first and the second stage.…”
mentioning
confidence: 99%