Speaker
Description
Achieving reliable tritium self-sufficiency remains one of the defining challenges for fusion power-plant design, making accurate tritium fuel cycle modelling essential.
At the MIT Plasma Science and Fusion Center, we are developing a unified digital framework that connects material-scale physics, component-level behaviour, and system-level fuel-cycle performance, informed and validated by experimental platforms.
At the material scale, we combine thermo-desorption analysis (TDS), parametric optimisation for experimental validation (NRA, permeation experiments...), supported by the development of an open-source database of tritium transport properties (HTM).
We also investigate fuel cycle component performances by leveraging multi-physics workflows (OpenFOAM, OpenMC, FESTIM): tritium transport dynamics in the ARC breeding blanket, extraction efficiency of a PAV extractor, tritium contamination in a heat exchanger...
Finally, at the system level, we integrate these component models within a system modelling code (PathSim and it's graphical interface PathView) to analyse complete systems, from lab-scale experiments like LIBRA/BABY to full power-plant concepts like ARC.
This multiscale, multiphysics modelling strategy highlights how digital engineering can accelerate design, improve predictive capability, and support the development of tritium-robust fusion reactors.
| Country or International Organisation | United States of America |
|---|---|
| Affiliation | Plasma Science and Fusion Center, MIT |
| Speaker's email address | remidm@mit.edu |