Workshop on Digital Engineering for Fusion Energy Research

Development of a data framework for conceptual design of fusion reactor

10 Dec 2025, 16:00

1h 30m

Cambridge, Massachusetts, USA

Poster Data Techniques Poster Session (at PSFC)

Speaker

JAE MIN Kwon (National Fusion Research Institute)

Description

Iterative simulations and analyses are required during a conceptual design of fusion reactor with continuous changes of the design. It is important to keep track of physical and engineering rationale for the design modifications with systematic linkages of back data. This becomes increasingly more important as the design processes become semi-automatic employing advanced design optimization algorithms such as Bayesian optimization, genetic algorithm etc. In this contribution, we report our recent progress in developing a dedicated data framework to support this kind of design changes arising from a conceptual design of fusion reactor. Employing the GitLab and Data Version Control (DVC) technology [1,2], a framework is being developed to handle and track both design data and large sized simulation or analysis data associated with design update. We apply the preliminary version of the data framework to a design optimization process and critically examine the feasibility of the framework. We also discuss a way to coordinate this data framework with the digital twin platform [3,4] to virtualize a design-phase fusion reactor.

[1] GitLab. https://about.gitlab.com/
[2] DVC. https://dvc.org/doc
[3] Jae-Min Kwon et al., Fusion Eng. Des. 184 (2022) 113281
[4] Jae-Min Kwon et al., IEEE Trans. Plasma Sci. 52 (2024) 3910