Power Stabilization System with Unique Pumped Storage                                      to Stabilize Momentarily Fluctuating Power from Renewable Resources  (Counter-Rotating Type Pump-Turbine Unit Operated at Turbine Mode)

Kim, Jin‐Hyuk; Kasahara, Risa; Miyaji, Toru; Kanemoto, Toshiaki; Choi, Young-Seok

doi:10.24084/repqj12.274

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[1][2][3][4] Thus far, many kinds of studies have been conducted on counter-rotating type pump-turbines to understand the mechanisms, internal flow characteristics, and hydrodynamic performance characteristics. [5][6][7][8][9] Kim et al 6,7 enhanced the turbine efficiency of a counter-rotating type pump-turbine unit being operated in turbine mode using various optimization techniques. The results showed that the turbine efficiency was improved by 2.68% at the best efficiency point as compared with the reference design.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine

Kim

Suh

Choi

et al. 2016

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

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 two objective functions was determined and described with regard to the Pareto-optimal solutions. As a result, the pump and turbine efficiencies for the arbitrarily selected optimum designs in the Pareto-optimal solutions were increased as compared with the reference design.

show abstract

Section: Introductionmentioning

confidence: 99%

Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine

Kim

Suh

Choi

et al. 2016

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…The reference counterrotating type pump-turbine unit was considered for this validation. Figure 5 shows the performance curve validation results for the turbine output and efficiency of the pump-turbine unit operated at turbine mode [10]. As shown in Figure 5, the numerical results are in good agreement with experimental data across the entire volume flow range.…”

Section: Resultsmentioning

confidence: 53%

Multiobjective Optimization of a Counterrotating Type Pump-Turbine Unit Operated at Turbine Mode

Kim

Kasahara

Kanemoto

et al. 2014

Advances in Mechanical Engineering

Self Cite

View full text Add to dashboard Cite

A multiobjective optimization for improving the turbine output and efficiency of a counterrotating type pump-turbine unit operated at turbine mode was carried out in this work. The blade geometry of both the runners was optimized using a hybrid multiobjective evolutionary algorithm coupled with a surrogate model. Three-dimensional Reynolds-averaged Navier-Stokes equations with the shear stress transport turbulence model were discretized by finite volume approximations and solved on hexahedral grids to analyze the flow in the pump-turbine unit. As major hydrodynamic performance parameters, the turbine output and efficiency were selected as objective functions with two design variables related to the hub profiles of both the runner blades. These objectives were numerically assessed at twelve design points selected by Latin hypercube sampling in the design space. Response surface approximation models for the objectives were constructed based on the objective function values at the design points. A fast nondominated sorting genetic algorithm for the local search coupled with the response surface approximation models was applied to determine the global Pareto-optimal solutions. The trade-off between the two objectives was determined and described with respect to the Pareto-optimal solutions. The results of this work showed that the turbine outputs and efficiencies of optimized pump-turbine units were simultaneously improved in comparison to the reference unit.

show abstract

Effect on the Efficiency of a Counter-Rotating Pump-Turbine with the Variation of Blade Angle Using Design of Experiment (2k Factorial Design)

Kim¹,

Suh²,

Kim³

et al. 2017

KSNRE

View full text Add to dashboard Cite

Power Stabilization System with Unique Pumped Storage to Stabilize Momentarily Fluctuating Power from Renewable Resources (Counter-Rotating Type Pump-Turbine Unit Operated at Turbine Mode)

Cited by 3 publications

References 9 publications

Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine

Simultaneous efficiency improvement of pump and turbine modes for a counter-rotating type pump-turbine

Multiobjective Optimization of a Counterrotating Type Pump-Turbine Unit Operated at Turbine Mode

Effect on the Efficiency of a Counter-Rotating Pump-Turbine with the Variation of Blade Angle Using Design of Experiment (2k Factorial Design)

Contact Info

Product

Resources

About