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.


Available soon


The course will be held at University of Manchester; rooming available soon.

Interactive map.



The University of Manchester School of MACE George Begg Building Manchester M13 9PL

This course is part-funded by the PRACE project and is free to all. Please register using the online form. If you have any questions, please consult the course forum page or contact support@archer.ac.uk.

Registration for this event is currently open.
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