Duqtools: Dynamic uncertainty quantification for Tokamak reactor simulations modelling

TL;DR

Duqtools is an open-source Python workflow tool that automates the setup of large-scale fusion reactor simulations, enabling efficient uncertainty quantification and validation of plasma models, demonstrated through 2000 simulations of the JINTRAC suite.

Contribution

This work introduces duqtools, a novel automation tool that streamlines large-scale simulation setup for fusion modeling, facilitating validation and sensitivity analysis.

Findings

Identified data consistency issues in model initialization.

Validated surrogate model across multiple regimes.

Enabled large-scale simulation workflows.

Abstract

Large scale validation and uncertainty quantification are essential in the experimental design, control, and operations of fusion reactors. Reduced models and increasing computational power means that it is possible to run many simulations, yet setting up simulation runs remaining a time-consuming and error-prone process that involves many manual steps. duqtools is an open-source workflow tool written in Python for that addresses this bottleneck by automating the set up of new simulations. This enables uncertainty quantification and large scale validation of fusion energy modelling simulations. In this work, we demonstrate how duqtools can be used to set up and launch 2000 different simulations of plasma experiments to validate aspects of the JINTRAC modelling suite. With this large-scale validation we identified issues in preserving data consistency in model initialization of the current ($I(p)$) distribution. Furthermore, we used duqtools for sensitivity analysis on the QLKNN-jetexp-15D surrogate model to verify its correctness in multiple regimes.