25–29 May 2026
La Biodola - Isola d'Elba (Italy)
Europe/Rome timezone
NB: The submission deadline for the Student Paper Awards is Monday, 11 May.

Distributed Modeling and Simulation Methods for Tokamak Simulation Systems

26 May 2026, 11:25
1h 5m
Elena Room (Hotel Hermitage)

Elena Room

Hotel Hermitage

Poster presentation Real Time Diagnostics, Digital Twin, Control, Monitoring, Safety and Security Real Time Diagnostics, Digital Twin, Control, Monitoring, Safety and Security - PS

Speaker

Heru Guo (Institute of Energy, Hefei Comprehensive National Science Center)

Description

Tokamak devices are highly complex with many subsystems, making traditional independent physical models insufficient for the simulation and operation requirements of future fusion reactors. Accurate characterization of the device’s dynamic response requires collaborative modeling by researchers from different subsystems under a unified standard to support complex discharge analysis.
In the context of long-term, multidisciplinary, and multi-team collaborative modeling, tokamak simulation platforms face more stringent requirements. On the one hand, they must support independently development of subsystem models while allowing seamless integration into a unified system-level simulation framework. On the other hand, to accommodate differences in subsystem response frequencies, the platform must support asynchronous simulation and time coordination across multiple frequencies and time scales. Meanwhile, a flexible and scalable model and parameter management and sharing mechanism is needed to support large-scale collaborative modeling and continuous model iteration.
This paper researches and develops a distributed collaborative modeling and simulation solution for digital tokamas. The proposed solution, based on the unified modeling specifications and operating platform of the Plasma Control Simulation Verification Platform (PCSVP), realizing standardized access and interconnection interfaces for subsystem models. It addresses co-simulation synchronization challenges caused by heterogeneous subsystem response frequencies via a multi-rate asynchronous data management mechanism. Furthermore, it establishes a traceable, reusable, and low-threshold collaborative development and operation system for large-scale tokamak simulation models through asset management of models and parameters and collaborative toolchains, thereby significantly improving the integration efficiency and overall modeling iteration efficiency of tokamak simulation models.

Minioral Yes
IEEE Member No
Are you a student? No

Authors

Heru Guo (Institute of Energy, Hefei Comprehensive National Science Center) Mr Pengyu Zhou (Institute of Energy, Hefei Comprehensive National Science Center) Qiping Yuan (ASIPP) ZIjie Liu (Institute of Energy, Hefei Comprehensive National Science Center) Shaoqing Liu (Institute of Energy Hefei Comprehensive National Science Center) Bingjia Xiao (Institute of Plasma Physics,Chinese Academy of Sciences)

Presentation materials

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