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Volume 17
Issue 3
10.3390/w17030378
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Optimization of Pumping Station Inlet Channel Based on Stress-Blended Eddy Simulation Turbulence Model and Entropy Generation Theory

by
Rui Jiang
1,
Yi Zhang
2,
Jianzhong Zhu
3,
Buqing Chen
4,
Yiping Tang
5,
Xu Yang
6,
Yuan Zheng
1,6,* and
Huiling Duan
1,*
1
School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China
2
Haining Yancang River Dike Management Office, Haining 314400, China
3
Management Service Center of Hangjiahu South Drainage Project, Jiaxing 314000, China
4
Jiaxing Hydrological Station, Jiaxing 314000, China
5
Haining Water Resources Bureau, Haining 314400, China
6
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
*
Authors to whom correspondence should be addressed.
Water 2025, 17(3), 378; https://doi.org/10.3390/w17030378
Submission received: 18 December 2024 / Revised: 17 January 2025 / Accepted: 27 January 2025 / Published: 30 January 2025
(This article belongs to the Special Issue Hydrodynamics in Pumping and Hydropower Systems)
Versions Notes

Abstract

The optimization of pumping station inlet channels is a key research area for improving the operation efficiency, reducing the energy consumption, and enhancing the operation reliability of pumping stations. For the elbow inlet channel of the Majinggang Pumping Station project, based on the Stress-Blended Eddy Simulation (SBES) turbulence model and entropy generation theory, an optimization design plan is proposed by altering the inclination angle of the flow channel base plate, the length of the transitional arc segment, and the length of the curved segment. Various schemes were analyzed and comprehensively compared in terms of the hydraulic loss, the velocity-weighted average angle, and the axial-velocity distribution uniformity of the channel. The results indicate that optimal hydraulic performance is achieved when the inclination angle of the base plate is between 8° and 10°. In a reasonable range of values, appropriately increasing the length of the transitional arc and reducing the section width (throat width) can improve the hydraulic performance of the inlet channel. The optimal model obtained achieved an impressive velocity-weighted average angle of 89.25°, along with an axial-velocity distribution uniformity of 97.5%. Its excellent hydraulic performance not only meets the design requirements of the pumping station in terms of functionality but also takes into account economic efficiency, and it serves as a valuable reference for similar projects, contributing to the more refined and intelligent development of the optimization of pumping station inlet flow channels.
Keywords: SBES; entropy generation theory; inlet channel; numerical simulation; hydraulic performance SBES; entropy generation theory; inlet channel; numerical simulation; hydraulic performance

Share and Cite

MDPI and ACS Style

Jiang, R.; Zhang, Y.; Zhu, J.; Chen, B.; Tang, Y.; Yang, X.; Zheng, Y.; Duan, H. Optimization of Pumping Station Inlet Channel Based on Stress-Blended Eddy Simulation Turbulence Model and Entropy Generation Theory. Water 2025, 17, 378. https://doi.org/10.3390/w17030378

AMA Style

Jiang R, Zhang Y, Zhu J, Chen B, Tang Y, Yang X, Zheng Y, Duan H. Optimization of Pumping Station Inlet Channel Based on Stress-Blended Eddy Simulation Turbulence Model and Entropy Generation Theory. Water. 2025; 17(3):378. https://doi.org/10.3390/w17030378

Chicago/Turabian Style

Jiang, Rui, Yi Zhang, Jianzhong Zhu, Buqing Chen, Yiping Tang, Xu Yang, Yuan Zheng, and Huiling Duan. 2025. "Optimization of Pumping Station Inlet Channel Based on Stress-Blended Eddy Simulation Turbulence Model and Entropy Generation Theory" Water 17, no. 3: 378. https://doi.org/10.3390/w17030378

APA Style

Jiang, R., Zhang, Y., Zhu, J., Chen, B., Tang, Y., Yang, X., Zheng, Y., & Duan, H. (2025). Optimization of Pumping Station Inlet Channel Based on Stress-Blended Eddy Simulation Turbulence Model and Entropy Generation Theory. Water, 17(3), 378. https://doi.org/10.3390/w17030378

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