Gensheng He
Research Subjects
Gensheng He has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Di Zhu
College of Engineering, China Agricultural University, Beijing 100083, China
1 shared publication - Jiahao Lu
College of Water Resources and Intelligent Engineering, China Agricultural University, Beijing 100083, China
1 shared publication - Tao Zhang
Technical Management Department, Y. R. Wanjiazhai Water Multi-Purpose Dam Project Co., Ltd., Taiyuan 030000, China
1 shared publication - Weilong Guang
College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
1 shared publication - Xijie Song
Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
1 shared publication - Zhengwei Wang
State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
1 shared publication
Latest Publications
- Open Access
Investigation of the Internal Flow in a Francis Turbine for Comparing the Flow Noise of Different Operation Conditions
Francis turbines are commonly used for water energy utilization in medium- to high-head sections. The high head may cause strong flow-induced noise problems and adverse effects during operation. In order to explore the causes and specific locations of flow-induced noise, this study evaluated the flow-induced noise of a Francis turbine under different loads. By using computational fluid dynamics simulation methods and sound power level evaluation methods, flow-induced noise analysis could be performed based on turbulent flow simulations. By comparing experimental and simulated values, three different load conditions were selected located in the allowed, restricted, and prohibited regions. The results indicated that the flow state of the operating points in the allowed region was good and the flow-induced noise was low, except near the guide vane. The swirling flow in restricted and prohibited regions was strong; in particular, the flow-induced noise in the draft tube was relatively high. Overall, the local flow-induced noise of the runner blade inlet edge was the strongest, and the relationship between the flow-induced noise of the draft tube and the rotating flow was the strongest. The flow-induced noise near the guide vane was the most related to the opening angle, and the larger the opening angle, the greater the noise was. This study can assist in the diagnosis of Francis turbine noise problems and related low-noise design in engineering.
Open AccessInvestigation of the Internal Flow in a Francis Turbine for Comparing the Flow Noise of Different Operation Conditions
Francis turbines are commonly used for water energy utilization in medium- to high-head sections. The high head may cause strong flow-induced noise problems and adverse effects during operation. In order to explore the causes and specific locations of flow-induced noise, this study evaluated the flow-induced noise of a Francis turbine under different loads. By using computational fluid dynamics simulation methods and sound power level evaluation methods, flow-induced noise analysis could be performed based on turbulent flow simulations. By comparing experimental and simulated values, three different load conditions were selected located in the allowed, restricted, and prohibited regions. The results indicated that the flow state of the operating points in the allowed region was good and the flow-induced noise was low, except near the guide vane. The swirling flow in restricted and prohibited regions was strong; in particular, the flow-induced noise in the draft tube was relatively high. Overall, the local flow-induced noise of the runner blade inlet edge was the strongest, and the relationship between the flow-induced noise of the draft tube and the rotating flow was the strongest. The flow-induced noise near the guide vane was the most related to the opening angle, and the larger the opening angle, the greater the noise was. This study can assist in the diagnosis of Francis turbine noise problems and related low-noise design in engineering.