Multi-Physics High-Fidelity Nuclear Reactor Modelling

SNIC 2020/1-36


SNIC Large Compute

Principal Investigator:

Henryk Anglart


Kungliga Tekniska högskolan

Start Date:


End Date:


Primary Classification:

20304: Energy Engineering




We are devoted to performing multi-physics high-fidelity ``virtual experiment'' on nuclear reactor cores which are more cost-efficient and versatile than physical experiments for testing the conceptual ideas and optimising the designs. The computational fluid dynamics (CFD) approach is used for the thermal-hydraulic simulations and the Monte Carlo method accounts for the neutron transport simulations. These two branches proceed in parallel with the final goal to being able to run accurate coupled simulations for the reactor cores. With our recent achievements, we are now focusing on two directions, and both tasks are only feasible with the aid of HPC resources. For the Monte Carlo part, we are intending to improve the efficiency for large scale Monte Carlo simulations. For the CFD part, we are intending to construct mechanistic models for heat and mass transfer in two-phase annular flows with disturbance waves, as well as heat transfer in supercritical water, based on CFD data. As we dive deeper into two-phase CFD simulations, we are going to focus more on fundamentals than applications in the proposed project.