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Growth beyond megawatts
Hash Hashemianpresident@ans.org
When talking about growth in the nuclear sector, there can be a somewhat myopic focus on increasing capacity from year to year. Certainly, we all feel a degree of excitement when new projects are announced, and such announcements are undoubtedly a reflection of growth in the field, but it’s important to keep in mind that growth in nuclear has many metrics and takes many forms.
Nuclear growth—beyond megawatts—also takes the form of increasing international engagement. That engagement looks like newcomer countries building their nuclear sectors for the first time. It also looks like countries with established nuclear sectors deepening their connections and collaborations. This is one of the reasons I have been focused throughout my presidency on bringing more international members and organizations into the fold of the American Nuclear Society.
Ruihan Li, Junyi Chen, Aixin Zhu, Jingang Liang, Ding She, Hongjian Zhang
Nuclear Science and Engineering | Volume 199 | Number 11 | November 2025 | Pages 1954-1970
Research Article | doi.org/10.1080/00295639.2025.2471712
Articles are hosted by Taylor and Francis Online.
Simulating pebble bed reactors with high fidelity presents significant challenges because of the intricate geometry of the randomly packed pebbles and the requirement for multiphysics coupling. This study introduces an innovative modeling framework that couples neutronics, thermal hydraulics, and pebble flow dynamics of the reactor core. The Monte Carlo (MC) code, computational fluid dynamics (CFD) method, and discrete element method (DEM) are used, utilizing the open-source codes OpenMC, OpenFOAM, and LAMMPS, respectively. The core geometry is explicitly constructed for both the MC and the DEM models, while a porous media approach is adopted for the CFD model to manage computational expenses. Enhancements have been made to OpenMC to facilitate data exchange: The core geometry is allowed to change between depletion steps to simulate pebble motion, and a temperature mesh scheme has been developed for efficient temperature distribution transfer. Validations are provided for the models and modifications implemented in this study. As a practical demonstration, a depletion simulation on a full-core model of a High-Temperature Gas-Cooled Reactor–Pebble-Bed Module (HTR-PM) is conducted, explicitly modeling 420 000 randomly packed fuel pebbles. The results reveal detailed distributions of power, temperature, and burnup, all consistent with expected physical behavior, underscoring the effectiveness of our approach.