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Research Papers: Flows in Complex Systems

Numerical Simulation on Pump Transient Characteristic in a Model Pump Turbine

[+] Author and Article Information
Deyou Li

School of Energy Science and Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: lideyou@hit.edu.cn

Yonglin Qin

School of Energy Science and Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: qinyonglinhit@163.com

Zhigang Zuo

Department of Energy and Power Engineering,
State Key Laboratory of HydroScience
and Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: zhigang200@tsinghua.edu.cn

Hongjie Wang

Professor
School of Energy Science and Engineering,
Harbin Institute of Technology,
Harbin 150001, China
e-mail: wanghongjie@hit.edu.cn

Shuhong Liu

Professor
Department of Energy and Power Engineering,
State Key Laboratory of HydroScience
and Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: liushuhong@mail.tsinghua.edu.cn

Xianzhu Wei

Professor
State Key Laboratory of Hydro-Power Equipment,
Harbin Institute of Large Electrical Machinery,
Harbin 150040, China
e-mail: wxz@hec-china.com

1Corresponding authors.

Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received April 26, 2018; final manuscript received April 8, 2019; published online May 8, 2019. Assoc. Editor: Satoshi Watanabe.

J. Fluids Eng 141(11), 111101 (May 08, 2019) (22 pages) Paper No: FE-18-1296; doi: 10.1115/1.4043496 History: Received April 26, 2018; Revised April 08, 2019

Pump performance characteristics of pump turbines in transient processes are significantly different from those in steady processes. In the present paper, transient processes of a flow rate that increased and decreased in the pump mode of a model pump turbine were simulated through unsteady simulations using the shear stress transport (SST) k–ω turbulence model. The numerical results reveal that there is a larger hysteresis loop in the performance characteristics of the increasing and decreasing directions of the flow rate compared with those of steady results. Detailed discussions are carried out to determine the generation mechanism of obvious hysteresis characteristics using the methods of entropy production and continuous wavelet analysis. Analyses show that the states of the backflow at the draft tube outlet and the vortices in the impeller and guide/stay vanes are promoted or suppressed owing to the acceleration and deceleration of the fluid. This contributes to the difference in pump performance characteristics of the pump turbine.

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Figures

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Fig. 1

Computational domain of model pump turbine

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Fig. 2

Validation of grid independency: (a) energy coefficient and (b) efficiency

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Fig. 3

Comparison of performance characteristics with different turbulence models

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Fig. 4

Streamlines in the cone of the draft tube under different turbulence models at 0.56QBEP

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Fig. 5

Comparison of performance characteristics at different time steps: (a) energy coefficient and (b) torque coefficient

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Fig. 6

Comparison of performance characteristics in two directions of transient simulation, steady simulation, and experiments: (a) energy coefficient and (b) torque coefficient

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Fig. 7

Performance characteristics with different flow rate inertia in flow decreasing direction: (a) energy coefficient and (b) torque coefficient

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Fig. 8

The sketch of the test rig

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Fig. 9

Hydraulic loss with different components in the two directions: (a) in flow rate decreasing direction (FDD) direction and (b) in flow rate increasing direction (FID) direction

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Fig. 10

Pressure monitoring points in (a) draft tube, (b) impeller, and (c) stay/guide vanes

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Fig. 11

Comparison of the hydraulic loss coefficient in the draft tube of two transient processes

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Fig. 12

Pressure fluctuations of different sections in two transient processes: (a) section A in FDD direction, (b) section A in FID direction, (c) section B in FDD direction, (d) section B in FID direction, (e) section C in FDD direction, and (f) section C in FID direction

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Fig. 13

The distribution of streamlines and local entropy production rate in flow rate decreasing process

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Fig. 14

The distribution of streamlines and local entropy production rate in flow rate increasing process

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Fig. 15

Wavelet result |Wn| in the draft tube for two transient processes: (a) point DT001 in FDD direction, (b) point DT001 in FID direction, (c) point DT101 in FDD direction, (d) point DT101 in FID direction, (e) point DT201 in FDD direction, and (f) point DT201 in FID direction

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Fig. 16

The comparison of the hydraulic loss of the impeller in two transient processes

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Fig. 17

Pressure fluctuations in impeller outlet for two transient processes: (a) in FDD direction and (b) in FID direction

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Fig. 18

Wavelet result |Wn| of point RN1101 at impeller outlet in two transient processes: (a) in FDD direction and (b) in FID direction

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Fig. 19

Pressure fluctuations close to pressure surface along streamline direction in two transient processes: (a) in FDD direction and (b) in FID direction

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Fig. 20

Pressure fluctuations close to suction surface along streamline direction in two transient processes: (a) in FDD direction and (b) in FID direction

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Fig. 21

The distribution of streamlines and local entropy production rate (LEPR) of blade to blade at midspan in two transient processes

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Fig. 22

Comparison of hydraulic loss in stay-guide vanes of two transient processes: (a) guide vanes and (b) stay vanes

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Fig. 23

Streamlines of stay-guide vanes at midspan in two transient processes

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Fig. 24

LEPR distribution of stay-guide vanes at midspan in two transient processes

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Fig. 25

Pressure fluctuations in vaneless space in two transient processes: (a) variation of pressure in FDD direction and (b) variation of pressure in FID direction

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Fig. 26

Pressure fluctuations in stay vanes in two transient processes: (a) variation of pressure in FDD direction and (b) variation of pressure in FID direction

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Fig. 27

Wavelet result |Wn| of point VL001 in vaneless space: (a) in FDD direction and (b) in FID direction

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Fig. 28

Wavelet result |Wn| of point SV001 in stay vanes in two transient processes: (a) in FDD direction and (b) in FID direction

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Fig. 29

Flow rate variation of every channel in guide vanes in transient processes

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Fig. 30

Flow rate variation of every channel in stay vanes in transient processes

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Fig. 31

Vortex core distribution in stay/guide vanes in transient processes

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