Analysis of a LOFA in the EU DEMO Breeding Blanket
keywords ENERGY, LOFA, MODELICA, MODELLING, NUCLEAR, NUCLEAR FUSION, SAFETY, SYSTEM MODELLING, SYSTEM-LEVEL MODELLING
Reference persons ANTONIO FROIO
Research Groups NEMO (Nuclear Engineering MOdelling) group (PoliTo)
Description The EU DEMO tokamak fusion reactor is a proposed design of demonstration fusion power plant, and it will be the first fusion facility to include a Breeding Blanket (BB) aimed at producing more tritium than that consumed by the fusion reactions. Consequently, one of the major challenges of the EU DEMO project is the design of the BB, for which several concepts are being investigated; the two most promising technologies are the Helium-Cooled Pebble Bed (HCPB) and the Water-Cooled Lithium-Lead (WCLL).
For the design of the BB, both nominal transients and accidental scenarios are to be simulated via numerical tools. The GETTHEM code, developed at Politecnico di Torino, is one of the codes employed to this task within the EUROfusion Consortium; it has been applied in the past to both operating and off-normal condition analyses, in particular focusing on Loss-Of-Coolant Accidents.
Another accidental sequence to be considered is the Loss-Of-Flow Accident (LOFA), which may be caused by different initiating events (e.g. channel obstruction, circulator trip, loss of offsite power, …). Such an accident would induce overheating of the BB structures (because of decay heat), and would be particularly severe in case the detection system would fail and the plasma is not shut down.
The aim of this proposal is to analyze parametrically with the GETTHEM code a LOFA in the EU DEMO BB with HCPB and WCLL BB concepts, considering different initiating events and hypotheses on the mitigation system intervention. The final outcome of the analysis should be the maximum temperature reached in the BB in the different cases analyzed.
See also bb_lofa.pdf http://www.nemo.polito.it/teaching/thesis_proposals/master_thesis/nuclear_fusion_technology
Deadline 09/11/2020 PROPONI LA TUA CANDIDATURA