Progress of HL-2A experiments and HL-2M program
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Published:2021-11-22
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ISSN:0029-5515
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Container-title:Nuclear Fusion
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language:
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Short-container-title:Nucl. Fusion
Author:
Duan Xuru, Xu Min, Zhong Wulyu, Liu Yi, Song Xianming, Liu Dequan, Wang Yingqiao, Lu Bo, Shi Zhongbing, Zheng Guoyao, Liu Yong, Yang Qingwei, Mao Weichen, Li Qiang, Cai Lijun, Ji Xiao Quan, Liu Xiaolong, Li Liancai, Li B, Dong Jiaqi, Ding Xuantong, Yan Longwen, Artaud Jean-Francois, Bai Xingyu, Cao Jianyong, Cao Zeng, Chen Liu, Chen WeiORCID, Delpech Lena, Du Hailong, Ekedahl Annika, Gao Zhe, Garcia JeronimoORCID, Han MingkunORCID, Hao G ZORCID, He H M, Hoang Gia Tuong, Huang Mei, Isobe Mitsutaka, Jiang Min, Liang Anshu, Liu YueqiangORCID, Li DongORCID, Li Huajun, Li Jiquan, Li Jiaxian, Li Yongge, Long TingORCID, Mazon Didier, McKee George RORCID, Qiu ZhiyongORCID, Peng Jianfei, Peysson Yves, Rao Jun, Song Xiao, Sun Tengfei, Wang Zheng-Xiong, Wei Huiling, Wen Jie, Wu NaORCID, Xu Yuhong, Xiao Guoliang, Xiao X P, Xue Lei, Yan Zheng, Yang Zongyu, Yu Deliang, Yu LimingORCID, Yu YiORCID, Zang LingeORCID, Zhang Jinghua, Zhang NengORCID, Zhang Yipo, Zonca FulvioORCID, Zou Xiao Lan
Abstract
Abstract
Since the last IAEA Fusion Energy Conference in 2018, significant progress of the experimental program of HL-2A has been achieved on developing advanced plasma physics, edge localized mode (ELM) control physics and technology. Optimization of plasma confinement has been performed. In particular, high-N H-mode plasmas exhibiting an internal transport barrier have been obtained (normalized plasma pressure N reached up to 3). Injection of impurity improved the plasma confinement. ELM control using resonance magnetic perturbation (RMP) or impurity injection has been achieved in a wide parameter regime, including Types I and III. In addition, the impurity seeding with supersonic molecular beam injection (SMBI) or laser blow-off (LBO) techniques has been successfully applied to actively control the plasma confinement and instabilities, as well as the plasma disruption with the aid of disruption prediction. Disruption prediction algorithms based on deep learning are developed. A prediction accuracy of 96.8% can be reached by assembling convolutional neural network (CNN). Furthermore, transport resulted from a wide variety of phenomena such as energetic particles and magnetic islands have been investigated. In parallel with the HL-2A experiments, the HL-2M mega-ampere class tokamak was commissioned in 2020 with its first plasma. Key features and capabilities of HL-2M are briefly presented.
Subject
Condensed Matter Physics,Nuclear and High Energy Physics
Cited by
41 articles.
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