Disruption prediction and mitigation strategies in the EHL-2 spherical torus

Jianqing CAI; Yunfeng LIANG; Zhongyong CHEN; Wei ZHENG; Di HU; Lei XUE; Zhifang LIN; Xiang GU; the EHL-2 Team

doi:10.1088/2058-6272/adb40b

Plasma Science and Technology > 2025 > 27(2): 024013. > DOI: 10.1088/2058-6272/adb40b CSTR: 32219.14.2058-6272/adb40b

Jianqing CAI, Yunfeng LIANG, Zhongyong CHEN, Wei ZHENG, Di HU, Lei XUE, Zhifang LIN, Xiang GU, the EHL-2 Team. Disruption prediction and mitigation strategies in the EHL-2 spherical torus[J]. Plasma Science and Technology, 2025, 27(2): 024013. DOI: 10.1088/2058-6272/adb40b

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Disruption prediction and mitigation strategies in the EHL-2 spherical torus

1.
Hebei Key Laboratory of Compact Fusion, Langfang 065001, People’s Republic of China
2.
Forschungszentrum Jülich GmbH, Institute of Fusion Energy and Nuclear Waste Management-Plasmaphysik, Jülich 52425, Germany
3.
International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China
4.
School of Physics, Beihang University, Beijing 100191, People’s Republic of China
5.
Southwestern Institute of Physics, Chengdu 610225, People’s Republic of China
6.
School of Electrical Engineering & Automation, Jiangsu Normal University, Xuzhou 221116, People’s Republic of China
7.
ENN Science and Technology Development Co., Ltd., Langfang 065001, People’s Republic of China

More Information

Author Bio:
Jianqing CAI: caijianqinga@enn.cn
Corresponding author:
Jianqing CAI, caijianqinga@enn.cn
Received Date: October 23, 2024
Revised Date: February 04, 2025
Accepted Date: February 06, 2025
Available Online: February 08, 2025
Published Date: February 23, 2025

Graphical Abstract

Abstract

Abstract

EHL-2 is a compact, high-field spherical tokamak designed to explore the potential of an advanced p-¹¹B nuclear fusion reactor. Due to its high plasma current and thermal energy, it is crucial to mitigate the impact associated with disruptions to ensure the safe operation of EHL-2. This paper evaluates the performance requirements of the disruption prediction system on EHL-2, with a particular focus on applying generalizable knowledge transfer from existing devices to future ones. Furthermore, the key characteristics of disruption mitigation strategies are analyzed, and their overall mitigation performance on EHL-2 is assessed. This insight provides valuable guidance for optimizing the engineering design of EHL-2 and identifying its optimal operational regime.
- spherical tokamak,
- EHL-2,
- disruption mitigation,
- disruption prediction,
- neural network

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Acknowledgments

This study was supported by the ENN Group, the ENN Energy Research Institute and National Natural Science Foundation of China (No. 12205122). The authors gratefully acknowledge the ENN fusion team and collaborators for their valuable contributions to this endeavor.

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