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

HYPERBOLE Symposium 2017 (HYdropower plants PERformance and flexiBle Operation towards Lean integration of new renewable Energies)

Alligné, S.^1 ; Decaix, J.^2 ; Müller, A.^3 ; Nicolet, C.^1 ; Avellan, F.^3 ; Münch, C.^2

Power Vision Engineering Sàrl, Chemin des Champs Courbes 1, Ecublens

1024, Switzerland^1

HES-SO University of Applied Sciences and Arts Western Switzerland, Route du Rawyl 47, Sion, Switzerland^2

Laboratory for Hydraulic Machines, Avenue de Cour 33 bis, Lausanne

1007, Switzerland^3

关键词: Cavitation vortex ropes;    Electrical power networks;    Energy conversion technologies;    Hydraulic machines;    Hydropower plants;    Objective functions;    Off-design operating conditions;    Renewable energies;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/813/1/012032/pdf
DOI  :  10.1088/1742-6596/813/1/012032

来源: IOP

【 摘 要 】

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.