A Generalized Multinodal Model for Plasma Particle and Energy Transport

TL;DR

This paper introduces a flexible multinodal model for simulating particle and energy transport in toroidal plasmas, supporting advanced reactor-scale and integrated plasma simulations with data-driven calibration capabilities.

Contribution

It develops a generalized multinodal framework allowing arbitrary node numbers, enhancing coupling with core-edge and core-pedestal models, and explicitly deriving transport times from geometry and diffusivities.

Findings

Supports flexible node configurations for plasma modeling

Derives explicit transport times based on geometry and diffusivities

Compatible with data-driven approaches like NeuralPlasmaODE

Abstract

We present a generalized multinodal model for simulating particle and energy transport in toroidal plasma configurations, developed to support burning plasma analysis and reactor-scale modeling. Unlike fixed-node models, this formulation allows an arbitrary number of nodes, offering increased flexibility for coupling with core-edge or core-pedestal simulations. The model derives nodal balance equations for each plasma species by volume-averaging the continuity and energy conservation equations across toroidal shell nodes. Particle and energy transport terms are expressed in terms of internodal fluxes, linked to radial gradients via linear diffusion laws for particle density and temperature, respectively. The resulting transport contributions are characterized through effective particle and energy transport times, derived explicitly in terms of nodal geometry and diffusivities. This generalized framework facilitates efficient, modular implementation of radial transport dynamics in reduced-order or integrated plasma simulations, and is compatible with data-driven approaches such as NeuralPlasmaODE for model calibration and inference from experimental data.