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Numerical simulation of flow in hydro turbines channel to improve its efficiency by using of Lattice Boltzmann Method

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  • Najafi, Mohammad Javid
  • Naghavi, Sayed Mahdi
  • Toghraie, Davood

Abstract

The aim of the present work is to study the influence of channel geometry and its assemble gap on the efficiency improvement of hydro turbine. Raising flowing velocity and the control of the pressure drop of the inlet fluid of hydro turbines are the most important hydrodynamic factors for improving their efficiency. To study these and obtain the best hydrodynamic conditions of conducting channels, channels’ simulations in seven different geometrical shapes and four different assemble gabs (1, 1.25, 1.5 and 2 m) using of Lattice Boltzmann Method (LBM) were carried out. The simulation indicates that using a conducting channel which hydro turbine is installed inside can play a significant role in turbine efficiency. In addition, the type of the channel shape and assemble gap have different effects on the flow parameters such as velocity and pressure drop, and consequently can have different effects on hydro turbine efficiency too. Considering the velocity ratio and the pressure drop, it is possible to select the Airfoil-like channel as the most efficient channel. Moreover, according to the illustrations, the stream in this channel is more stable than the other channels. Likewise, one-meter assemble gap was chosen as the most efficient one than the other ones. Therefore, Airfoil-like channel with one-meter assemble gap was considered as the best channel design for increase efficiency in hydro turbine constructions.

Suggested Citation

  • Najafi, Mohammad Javid & Naghavi, Sayed Mahdi & Toghraie, Davood, 2019. "Numerical simulation of flow in hydro turbines channel to improve its efficiency by using of Lattice Boltzmann Method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 390-408.
    • Handle: RePEc:eee:phsmap:v:520:y:2019:i:c:p:390-408
    DOI: 10.1016/j.physa.2019.01.034
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    References listed on IDEAS

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    3. Ma, Yuan & Mohebbi, Rasul & Rashidi, M.M. & Yang, Zhigang & Sheremet, Mikhail, 2020. "Nanoliquid thermal convection in I-shaped multiple-pipe heat exchanger under magnetic field influence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    4. Jourabian, Mahmoud & Rabienataj Darzi, A. Ali & Akbari, Omid Ali & Toghraie, Davood, 2020. "The enthalpy-based lattice Boltzmann method (LBM) for simulation of NePCM melting in inclined elliptical annulus," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    5. Dolatabadi, Peiman Davari & Khanlari, Karen & Ghafory Ashtiany, Mohsen & Hosseini, Mahmood, 2020. "System identification method by using inverse solution of equations of motion in time domain and noisy condition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).

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