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  4. RANS computations for identification of 1-D cavitation model parameters: application to full load cavitation vortex rope
 
conference paper

RANS computations for identification of 1-D cavitation model parameters: application to full load cavitation vortex rope

Alligné, S
•
Decaix, J
•
Müller, A
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2017
Journal of Physics: Conference Series
HYPERBOLE Conference

Due to the massive penetration of alternative renewable energies, hydropower is a key energy conversion technology for stabilizing the electrical power network by using hydraulic machines at off design operating conditions. At full load, the axisymmetric cavitation vortex rope developing in Francis turbines acts as an internal source of energy, leading to an instability commonly referred to as self-excited surge. 1-D models are developed to predict this phenomenon and to define the range of safe operating points for a hydropower plant. These models require a calibration of several parameters. The present work aims at identifying these parameters by using CFD results as objective functions for an optimization process. A 2-D Venturi and 3-D Francis turbine are considered.

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Type
conference paper
DOI
10.1088/1742-6596/813/1/012032
Author(s)
Alligné, S
Decaix, J
Müller, A
Nicolet, C
Avellan, F
Münch, C
Date Issued

2017

Published in
Journal of Physics: Conference Series
Volume

813

Issue

1

Start page

012032

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMH  
Event nameEvent placeEvent date
HYPERBOLE Conference

Porto, Portugal

February 2-3, 2017

Available on Infoscience
September 27, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/140868
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