Investigation on the 1-kW Francis turbine elbow type draft tube performance by numerical and optimisation approach

被引:1
|
作者
Kalidas, Sathish [1 ]
Rangasamy, Ramamoorthi [2 ]
Seenivasan, Venkatesh [3 ]
机构
[1] Sri Eshwar Coll Engn, Dept Mech Engn, Coimbatore 641202, Tamil Nadu, India
[2] Sri Krishna Coll Engn & Technol, Dept Mech Engn, Coimbatore 641008, Tamil Nadu, India
[3] Natl Inst Technol, Dept Mech Engn, Tiruchirappalli 620015, Tamil Nadu, India
来源
PROGRESS IN COMPUTATIONAL FLUID DYNAMICS | 2023年 / 23卷 / 01期
关键词
elbow draft tube; pressure recovery factor; Francis turbine; overall efficiency; velocity of flow; kinetic energy; SHAPE OPTIMIZATION; HYDRO-TURBINE; VORTEX ROPE; FLOW; DESIGN; SUPPRESSION;
D O I
10.1504/PCFD.2023.128734
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this study, the performance of a 1-kW Francis turbine elbow-type draft tube is examined. Three geometric factors related to the draft tube, namely, the hose length, diffuser length, and exit diameter of the draft tube, are considered for improving the pressure recovery factor. The Taguchi method is applied to derive a regression equation related to these three parameters. The geometric factors of the draft tube are altered using a genetic algorithm (GA). The optimised draft tube is fabricated for the experimental investigation. The results indicate that using the optimised draft tube increases the overall efficiency. Moreover, it leads to an increase in the pressure recovery factor from 0.75 to 0.88. The pressure, velocity and kinetic energy flow fields were obtained using computational fluid dynamics (CFD) simulation. The shear stress transport k-omega model is applied for CFD simulation. The computed pressure recovery factor obtained from the CFD analysis is compared with that obtained from the experimental results. An acceptable range of accuracy is obtained in this study.
引用
收藏
页码:24 / 33
页数:11
相关论文
共 50 条
  • [31] Investigation on mutual traveling influences between the draft tube and upstream components of a Francis turbine unit
    Muhirwa, Alexis
    Li, Biao
    Su, Wen-Tao
    Liu, Quan-Zhong
    Binama, Maxime
    Wu, Jian
    Cai, Wei-Hua
    RENEWABLE ENERGY, 2020, 162 : 973 - 992
  • [32] Computationally efficient optimisation of elbow-type draft tube using neural network surrogates
    Sikirica, Ante
    Lucin, Ivana
    Alvir, Marta
    Kranjcevic, Lado
    Carija, Zoran
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 90 : 129 - 152
  • [33] Influence of runner blade number on hydraulic performance and flow control in draft tube of Francis turbine
    Lu, Jiahao
    Su, Chenhan
    Tao, Ran
    ADVANCES IN MECHANICAL ENGINEERING, 2024, 16 (03)
  • [34] Influence of the velocity field at the inlet of a Francis turbine draft tube on performance over an operating range
    Susan-Resiga, R.
    Muntean, S.
    Ciocan, T.
    Joubarne, E.
    Leroy, P.
    Bornard, L.
    26TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS, PTS 1-7, 2013, 15
  • [35] Experimental and numerical investigation of flows inside draft tube of a pump-turbine
    Lai, X. D.
    Liang, Q. W.
    Ye, D. X.
    Chen, X. M.
    Gou, Q. Q.
    Zhang, Q. H.
    29TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS, 2019, 240
  • [36] Numerical predictions and stability analysis of cavitating draft tube vortices at high head in a model Francis turbine
    ZUO ZhiGang
    LIU ShuHong
    LIU DeMin
    QIN DaQing
    Science China(Technological Sciences), 2014, 57 (11) : 2106 - 2114
  • [37] Numerical and experimental analysis of pressure fluctuations in the draft-tube of a Francis turbine using the swirl number
    Khozaei, M. H.
    Favrel, A.
    Masuko, T.
    Yamaguchi, N.
    Watanabe, R.
    Miyagawa, K.
    30TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS (IAHR 2020), 2021, 774
  • [38] Numerical predictions and stability analysis of cavitating draft tube vortices at high head in a model Francis turbine
    ZUO ZhiGang
    LIU ShuHong
    LIU DeMin
    QIN DaQing
    Science China(Technological Sciences), 2014, (11) : 2106 - 2114
  • [39] Numerical predictions and stability analysis of cavitating draft tube vortices at high head in a model Francis turbine
    Zuo ZhiGang
    Liu ShuHong
    Liu DeMin
    Qin DaQing
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2014, 57 (11) : 2106 - 2114
  • [40] Numerical Prediction of Cavitating Vortex Rope in a Draft Tube of a Francis Turbine with Standard and Calibrated Cavitation Model
    Jost, D.
    Skerlavaj, A.
    Morgut, M.
    Nobile, E.
    HYPERBOLE SYMPOSIUM 2017 (HYDROPOWER PLANTS PERFORMANCE AND FLEXIBLE OPERATION TOWARDS LEAN INTEGRATION OF NEW RENEWABLE ENERGIES), 2017, 813