Turbulence and heat transfer applied to HPC-related civil nuclear phenomena.
Introduction to Code_Saturne
Electricity generation is fundamentally a thermodynamic process. In a nuclear power plant, the prediction of fluid flow and heat transfer is of vital importance for the plant performance and for safety compliance. This course will focus on the use of Computational Fluid Dynamics (CFD) for the prediction of fluid flow and heat transfer, including turbulence modelling, near wall modelling and conjugate heat transfer.
The course will run for 2 days being a mixture of lectures and tutorials for nuclear internal flows. The open-source HPC software Code_Saturne will be used by the participants to run large scale simulations using the UK national facility ARCHER.
This course is organised by the University of Manchester, University of Sheffield, EDF Energy and STFC Daresbury Laboratory, and has the support of the UKFN SIG - Nuclear Thermal Hydraulics.
Wednesday 19th of June 2019 (C1 George Begg building):
- 09:00 Registration
- 09:30 RANS Modelling of turbulent flows
- 10:25 Near wall turbulence
- 11:20 Coffee break
- 11:35 Turbulent heat transfer modelling and applications
- 12:30 Lunch
- 13:30 Introduction to Code_Saturne
- 14:00 Tutorial: Laminar tube bundles using the GUI
- 15:30 HPC presentation and introduction to ARCHER
- 16:00 Tutorial: LES of tube bundles
- 17:30 End of day
Thursday 20th of June 2019 : Practical session in the computer cluster in George Begg
- 09:00 Tutorial: Post processing of LES results
- 09:30 Use of subroutines in Code_Saturne
- 10:00 Tutorial: LES of tube bundles using subroutines
- 11:00 Coffee break
- 11:15 Tutorial: adding heat transfer
- 12:30 Lunch
C2 George Begg building
- 13:30 LES/DNS and hybrid methods
- 14:20 Best practice guidelines and errors in CFD
- 15:00 Coffee break
- 15:15 Novel methods: Coarse CFD for nuclear applications
- 16:00 End of day and course
The course will be held at University of Manchester; rooming as show in Timetable.