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

Mohammad Javid Najafi, Sayed Mahdi Naghavi and Davood Toghraie

Physica A: Statistical Mechanics and its Applications, 2019, vol. 520, issue C, 390-408

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.

Keywords: Hydro turbines; Efficiency; Lattice Boltzmann method; Channel (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119300342
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:520:y:2019:i:c:p:390-408

DOI: 10.1016/j.physa.2019.01.034

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().