LAPSE:2023.24814
Published Article

LAPSE:2023.24814
Optimization Control on the Mixed Free-Surface-Pressurized Flow in a Hydropower Station
March 28, 2023
Abstract
The mixed free-surface-pressurized flow in the tailrace tunnel of a hydropower station has a great impact on the pressure, velocity, and operation stability of the power station. In the present work, a characteristic implicit method based on the upwind differencing and implicit finite difference scheme is used to solve the mixed free-surface-pressurized flow. The results of the characteristic implicit method agree well with the experimental results, which validates the accuracy of the method. Four factors that influence the amplitude of pressure fluctuation are analyzed and optimized, and the results show that the relative roughness can influence the maximum pressure in the tailrace tunnel. Additionally, the maximum pressure decreases with the increase of the tunnel’s relative roughness. When the surface relative roughness increases from 0.010 to 0.018, the maximum pressure can decrease by 4.33%. The maximum pressure in the tailrace tunnel can be effectively restrained by setting vent holes in the flat-topped tunnel section (tunnel (4)) and a vent hole at 81.25%L (L is the length of tunnel (4)), which can reduce the maximum pressure by 56.72%. Increasing the vent hole number can also reduce the maximum pressure of the mixed free-surface-pressurized flow in the tailrace tunnel. An optimal set of two ventilation holes 10 m in diameter at 93.75%L and 56.25%L is proposed, which can reduce the maximum pressure by 15.30% in comparison with the single vent case.
The mixed free-surface-pressurized flow in the tailrace tunnel of a hydropower station has a great impact on the pressure, velocity, and operation stability of the power station. In the present work, a characteristic implicit method based on the upwind differencing and implicit finite difference scheme is used to solve the mixed free-surface-pressurized flow. The results of the characteristic implicit method agree well with the experimental results, which validates the accuracy of the method. Four factors that influence the amplitude of pressure fluctuation are analyzed and optimized, and the results show that the relative roughness can influence the maximum pressure in the tailrace tunnel. Additionally, the maximum pressure decreases with the increase of the tunnel’s relative roughness. When the surface relative roughness increases from 0.010 to 0.018, the maximum pressure can decrease by 4.33%. The maximum pressure in the tailrace tunnel can be effectively restrained by setting vent holes in the flat-topped tunnel section (tunnel (4)) and a vent hole at 81.25%L (L is the length of tunnel (4)), which can reduce the maximum pressure by 56.72%. Increasing the vent hole number can also reduce the maximum pressure of the mixed free-surface-pressurized flow in the tailrace tunnel. An optimal set of two ventilation holes 10 m in diameter at 93.75%L and 56.25%L is proposed, which can reduce the maximum pressure by 15.30% in comparison with the single vent case.
Record ID
Keywords
characteristic implicit method, optimization control, relative roughness, the mixed free-surface-pressurized flow, vent holes
Subject
Suggested Citation
Wang X, Fan H, Liu B. Optimization Control on the Mixed Free-Surface-Pressurized Flow in a Hydropower Station. (2023). LAPSE:2023.24814
Author Affiliations
Wang X: State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
Fan H: State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
Liu B: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Fan H: State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
Liu B: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China
Journal Name
Processes
Volume
9
Issue
2
First Page
320
Year
2021
Publication Date
2021-02-09
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9020320, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.24814
This Record
External Link

https://doi.org/10.3390/pr9020320
Publisher Version
Download
Meta
Record Statistics
Record Views
176
Version History
[v1] (Original Submission)
Mar 28, 2023
Verified by curator on
Mar 28, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.24814
Record Owner
Auto Uploader for LAPSE
Links to Related Works
[0.33 s]
