Analysis of the Energy Loss Mechanism in Hydraulic Turbines with Different Guide-Vane Numbers Based on Entropy Generation Theory

To explore the influence of guide vanes on the energy loss of hydraulic turbines, a pump characterized by a simple structure and convenient operation was selected as the research subject. Entropy generation theory was utilized to analyze entropy generation losses at different flow rates, with a particular emphasis on the mechanisms in the impeller and draft tube. The findings indicate that turbulent entropy production dominates energy dissipation. Under the best efficiency point (BEP), the total entropy generation loss of Z0 = 11 turbine was 7.18% and 5.76% lower than that of Z0 = 7 and Z0 = 9, respectively. The proportion of entropy generation loss in the impeller was highest under low-flow and optimal operating conditions, while the proportion of entropy generation loss in the draft tube was highest under high-flow conditions. In guide-vane-free turbines, the impeller’s high turbulent entropy generation rate was attributed to vortices and backflow caused by significant velocity gradients. For guide-vane-equipped turbines, high turbulent entropy generation rates arose from rotor–stator interactions and flow separation at blade inlets. Under high-flow-rate conditions, the entropy generation loss in the draft tube was significantly larger than that in other flow components, primarily due to vortices generated by excessive velocity circulation at the impeller outlet near the upstream draft tube flow passages, leading to high turbulent entropy generation rates.

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Publication Details

Journal
Processes
Published
2025-06-16
DOI
https://doi.org/10.3390/pr13061899
Citations
1
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.86

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article

Analysis of the Energy Loss Mechanism in Hydraulic Turbines with Different Guide-Vane Numbers Based on Entropy Generation Theory

D. Zhang, Xiaohui Wang, Fengxia Shi, Chong Feng et al.
1 citations
Processes
Cavitation Phenomena in Pumps
0.86
article

Analysis of the Energy Loss Mechanism in Hydraulic Turbines with Different Guide-Vane Numbers Based on Entropy Generation Theory

D. Zhang, Xiaohui Wang, Fengxia Shi, Chong Feng, Pengcheng Wang
article en
1 citations

Abstract

To explore the influence of guide vanes on the energy loss of hydraulic turbines, a pump characterized by a simple structure and convenient operation was selected as the research subject. Entropy generation theory was utilized to analyze entropy generation losses at different flow rates, with a particular emphasis on the mechanisms in the impeller and draft tube. The findings indicate that turbulent entropy production dominates energy dissipation. Under the best efficiency point (BEP), the total entropy generation loss of Z0 = 11 turbine was 7.18% and 5.76% lower than that of Z0 = 7 and Z0 = 9, respectively. The proportion of entropy generation loss in the impeller was highest under low-flow and optimal operating conditions, while the proportion of entropy generation loss in the draft tube was highest under high-flow conditions. In guide-vane-free turbines, the impeller’s high turbulent entropy generation rate was attributed to vortices and backflow caused by significant velocity gradients. For guide-vane-equipped turbines, high turbulent entropy generation rates arose from rotor–stator interactions and flow separation at blade inlets. Under high-flow-rate conditions, the entropy generation loss in the draft tube was significantly larger than that in other flow components, primarily due to vortices generated by excessive velocity circulation at the impeller outlet near the upstream draft tube flow passages, leading to high turbulent entropy generation rates.

ProcessesVol. 13(6)
Lanzhou University of Technology (CN), Gansu Academy of Machinery Science (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 29%
Cavitation Phenomena in Pumps
0.86
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Analysis of the Energy Loss Mechanism in Hydraulic Turbines with Different Guide-Vane Numbers Based on Entropy Generation Theory — D. Zhang, Xiaohui Wang, et al. · Processes (2025) | TGRS Research Map | TGRS