Flow Simulation of a Francis Turbine Using the SAS Turbulence Model

Timo Krappel (), Albert Ruprecht and Stefan Riedelbauch
Additional contact information
Timo Krappel: Institute of Fluid Mechanics and Hydraulic Machinery
Albert Ruprecht: Institute of Fluid Mechanics and Hydraulic Machinery
Stefan Riedelbauch: Institute of Fluid Mechanics and Hydraulic Machinery

A chapter in High Performance Computing in Science and Engineering ‘13, 2013, pp 455-463 from Springer

Abstract: Abstract The operation of Francis turbines in part load conditions causes high fluctuations and dynamic loads in the turbine and the efficiency of the draft tube decreases strongly. For a better understanding of the various instantaneous phenomena, flow simulations of the complete Francis turbine are done with particular focus on the draft tube flow.The SAS (Scale Adaptive Simulation) model is used as turbulence model. Depending on the grid resolution and the time step size, this model allows the resolution of smaller turbulent structures compared to RANS turbulence models.Flow phenomena in a Francis turbine require long physical time to convect through the machine. Therefore, long computational time with many processors is necessary to conduct such a flow simulation.

Keywords: Turbulent Viscosity; Guide Vane; Draft Tube; Spiral Case; Francis Turbine (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-319-02165-2_31

Ordering information: This item can be ordered from
http://www.springer.com/9783319021652

DOI: 10.1007/978-3-319-02165-2_31

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().