Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine
As a core component of hydroelectric power generation, the stable and safe operation of the Francis turbine is very important for the operation of the project. Therefore, attention must be paid to the problem of pressure pulsation in the Francis turbine. In this study, the efficiency, power, and pre...
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| Language: | English |
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Isfahan University of Technology
2024-11-01
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| Series: | Journal of Applied Fluid Mechanics |
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| Online Access: | https://www.jafmonline.net/article_2554_78db8d93ed2d4c20ab53be8fdd5b5913.pdf |
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| author | J. Lu R. Tao |
| author_facet | J. Lu R. Tao |
| author_sort | J. Lu |
| collection | DOAJ |
| description | As a core component of hydroelectric power generation, the stable and safe operation of the Francis turbine is very important for the operation of the project. Therefore, attention must be paid to the problem of pressure pulsation in the Francis turbine. In this study, the efficiency, power, and pressure pulsation of the turbine are first compared based on computational fluid dynamics (CFD), combined with numerical simulation and experimental results. It was found that the numerical simulation method was reliable. Therefore, based on the genetic algorithm (GA) and pulsation tracking network (PTN), this article optimizes the draft tube pressure pulsation (DTPP) problem of the Francis turbine and finds that the DTPP is mainly dominated by rotation frequencies (fn) of 0.2, 0.4, 0.6, and 0.8. This research optimized the placement angle of the runner blade’s 0.75span and 1.0span using the genetic algorithm. The PTN method was used to analyze the changes in pressure pulsation signals from the perspectives of the pressure velocity vector, main frequency, pulsation intensity, and phase change. After optimization, the value of β0.75 was reduced from 160.59° to 160.452°, and the value of β1.0 was increased from 160.6° to 161.865°. The pressure pulsation intensity of each working condition was also weakened. Therefore, this research provides a new and effective analysis and optimization method for the pressure pulsation problem in turbine machinery. |
| format | Article |
| id | doaj-art-a793d2fe8e444f2791954c25ebff726a |
| institution | Kabale University |
| issn | 1735-3572 1735-3645 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Isfahan University of Technology |
| record_format | Article |
| series | Journal of Applied Fluid Mechanics |
| spelling | doaj-art-a793d2fe8e444f2791954c25ebff726a2024-11-10T06:28:18ZengIsfahan University of TechnologyJournal of Applied Fluid Mechanics1735-35721735-36452024-11-0118122224010.47176/jafm.18.1.26842554Optimized Reduction in Draft Tube Pressure Pulsation for a Francis TurbineJ. Lu0R. Tao1College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, ChinaCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, ChinaAs a core component of hydroelectric power generation, the stable and safe operation of the Francis turbine is very important for the operation of the project. Therefore, attention must be paid to the problem of pressure pulsation in the Francis turbine. In this study, the efficiency, power, and pressure pulsation of the turbine are first compared based on computational fluid dynamics (CFD), combined with numerical simulation and experimental results. It was found that the numerical simulation method was reliable. Therefore, based on the genetic algorithm (GA) and pulsation tracking network (PTN), this article optimizes the draft tube pressure pulsation (DTPP) problem of the Francis turbine and finds that the DTPP is mainly dominated by rotation frequencies (fn) of 0.2, 0.4, 0.6, and 0.8. This research optimized the placement angle of the runner blade’s 0.75span and 1.0span using the genetic algorithm. The PTN method was used to analyze the changes in pressure pulsation signals from the perspectives of the pressure velocity vector, main frequency, pulsation intensity, and phase change. After optimization, the value of β0.75 was reduced from 160.59° to 160.452°, and the value of β1.0 was increased from 160.6° to 161.865°. The pressure pulsation intensity of each working condition was also weakened. Therefore, this research provides a new and effective analysis and optimization method for the pressure pulsation problem in turbine machinery.https://www.jafmonline.net/article_2554_78db8d93ed2d4c20ab53be8fdd5b5913.pdffrancis turbinedraft tubepressure pulsationgenetic algorithmpulsation tracking |
| spellingShingle | J. Lu R. Tao Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine Journal of Applied Fluid Mechanics francis turbine draft tube pressure pulsation genetic algorithm pulsation tracking |
| title | Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine |
| title_full | Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine |
| title_fullStr | Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine |
| title_full_unstemmed | Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine |
| title_short | Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine |
| title_sort | optimized reduction in draft tube pressure pulsation for a francis turbine |
| topic | francis turbine draft tube pressure pulsation genetic algorithm pulsation tracking |
| url | https://www.jafmonline.net/article_2554_78db8d93ed2d4c20ab53be8fdd5b5913.pdf |
| work_keys_str_mv | AT jlu optimizedreductionindrafttubepressurepulsationforafrancisturbine AT rtao optimizedreductionindrafttubepressurepulsationforafrancisturbine |