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):
Thursday 20th of June 2019 : Practical session in the computer cluster in George Begg
C2 George Begg building
The course will be held at University of Manchester; rooming as show in Timetable.