Speaker
Description
Comprehensive digital twins for fusion devices require many components: multifidelity multiphysics modeling and simulation to describe complicated, interconnected systems; reduced-order and surrogate creation capabilities to enable designer-focused modeling; uncertainty quantification and stochastic simulation to inform design decisions; interfaces and connections to data warehouses and other sources of archival and experimental data to enable data-driven insights; and computational infrastructure to sustain reproducible science and engineering. At Idaho National Laboratory and at partner institutions, work has been ongoing for the last 17 years to create a robust simulation, surrogate modeling, and stochastic tools ecosystem based on the Multiphysics Object-Oriented Simulation Environment (MOOSE) framework. MOOSE was originally built to focus on nuclear engineering technology development for advanced fission reactor systems, where multiphysics simulation is also vital to understand the long-term operation of a fission power plant. Here, we will discuss how several MOOSE-based applications—the Software for Advanced Large-scale Analysis of MAgnetic confinement for Numerical Design, Engineering & Research (SALAMANDER) for blanket-edge modeling, the Tritium Migration and Analysis Program, Version 8 (TMAP8) for tritium transport and fuel cycle analysis, the Zapdos application for scrape-off layer multi-fluid plasma modeling, the Cardinal application for high-fidelity computational fluid dynamics and neutronics, and the MOOSE Stochastic Tools Module for stochastic simulation and surrogate creation—combine to create a modular software ecosystem to support broad modeling efforts for fusion energy design and engineering. Also at INL, the Fusion Safety Program Archive and Nuclear Research Data System represent two efforts to bring together empirical research data (both historical and contemporary) with accessible high-performance computational resources. Finally, the Fusion Energy Data Ecosystem and Repository (FEDER), led by General Atomics for the FIRE Collaboratives, will provide a community data and metadata ecosystem with standards, ontologies, provenance, APIs, and a federated “data commons” to support the community-driven, collaborative development of critical fusion technologies. Altogether, these projects and programs represent a shift in fusion energy design and engineering toward interoperable, modular, interconnected systems to hasten the progress toward fusion power plants. It also demonstrates how harvesting from ongoing efforts in nuclear engineering for fission systems can accelerate development for emerging fusion technologies.
| Country or International Organisation | United States of America |
|---|---|
| Affiliation | Idaho National Laboratory |
| Speaker's email address | casey.icenhour@inl.gov |
