Formation and evolution of vortex breakdown consequent to post design flow increase in a Francis turbine
Journal article, 2024

Draft tube flow instability encountered under off-design operating conditions in hydraulic turbines significantly limits their operational flexibility. The instability arises consequent to a higher than threshold swirl content in the runner outflow and leads to vortex breakdown phenomenon in the draft tube cone. At high load condition, the phenomenon presents as an enlarged vortex core counter-rotating with respect to the runner. The flow situation is known to compromise the turbine efficiency besides the generation of unwanted effects such as power swings and large-scale pressure fluctuations. The present paper is the first to encapsulate a thorough numerical investigation on the formation and evolution of the enlarged vortex core alongside the consequent effects. A transient operating sequence between best efficiency and high load operating points in a model Francis turbine is simulated. Turbulence closure has been attained using the shear stress transport-scale adaptive simulations turbulence model. Dynamic meshing based on a Laplacian smoothing scheme has been used to account for mesh deformation arising from guide vane motion during load change. The pressure and velocity fields have been determined and analyzed to elucidate the physics of vortex breakdown, the phenomenon underlying the formation of the enlarged vortex core. Furthermore, pressure fluctuations at salient points in the domain have been analyzed using Fourier and short-time Fourier transforms. Finally, the enlarged vortex core formed in the draft tube has been visualized through the λ2 criterion. The core takes the shape of a cork-screw like compactly wound spiral structure extending up to the draft tube elbow.

Author

Faiz Azhar Masoodi

Indian Institute of Technology Delhi

Saeed Salehi

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Rahul Goyal

Indian Institute of Technology Delhi

Physics of Fluids

1070-6631 (ISSN) 1089-7666 (eISSN)

Vol. 36 2

Artificial intelligence for enhanced hydraulic turbine lifetime

Swedish Energy Agency (VKU33020), 2023-01-01 -- 2027-06-30.

Energiforsk AB (VKU33020), 2023-01-01 -- 2027-06-30.

Subject Categories

Mechanical Engineering

Energy Engineering

Fluid Mechanics and Acoustics

Areas of Advance

Energy

DOI

10.1063/5.0187104

More information

Latest update

2/23/2024