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  4. Numerical analysis for detecting head losses in trifurcations of high head in hydropower plants
 
research article

Numerical analysis for detecting head losses in trifurcations of high head in hydropower plants

Aguirre, Carlos Andres
•
Ramirez Camacho, Ramiro Gustavo
•
de Oliveira, Waldir
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February 1, 2019
Renewable Energy

Many different types of branching have been developed, such as bifurcation, trifurcation, and manifolds, among others. These configurations are used in penstocks to transport water from surge tanks to power houses in order to feed several turbines at the same time. This arrangement allows for smaller assembly costs in comparison with independent penstock systems. Nevertheless, such installations can generate higher head losses in the system in comparison with single systems. This study focuses on the quantification of these head losses as a function of volumetric flow rate using Computational Fluid Dynamics (CFD) and later validated with previously published results. To determine the coefficient of head losses three mesh settings were analyzed: hexahedral, tetrahedral and hybrid, for both a steady state and transitory flow. Based on the literature, the k-omega) turbulence model was used, with refinement to elements near the wall to check y+. To the simulation transitory, the SAS model was used for analysis of the instability in the trifurcation. (C) 2018 Elsevier Ltd. All rights reserved.

  • Details
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Type
research article
DOI
10.1016/j.renene.2018.07.021
Web of Science ID

WOS:000449892600020

Author(s)
Aguirre, Carlos Andres
Ramirez Camacho, Ramiro Gustavo
de Oliveira, Waldir
Avellan, Francois  
Date Issued

2019-02-01

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Published in
Renewable Energy
Volume

131

Start page

197

End page

207

Subjects

GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY

•

Energy & Fuels

•

Science & Technology - Other Topics

•

trifurcation

•

cfd

•

loss coefficient

•

sas

•

transient

•

junctions

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMH  
Available on Infoscience
January 23, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/153967
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