Alfvén eigenmode stability analysis and energetic particle transport prediction for CFETR hybrid scenario  

作　　者：Yunpeng ZOU Minyou YE 邹云鹏;叶民友(School of Physical Science, University of Science and Technology of China)

机构地区：[1]School of Physical Science, University of Science and Technology of China

出　　处：《Plasma Science and Technology》2019年第9期46-51,共6页等离子体科学和技术（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant No. 11535013);the National Key Research and Development Program of China (Grant Nos. 2017YFA0402500 and 2018YFE0302101)

摘　　要：The hybrid scenario is a projection for CFETR operation with high plasma current and density.Therefore, the energetic particles(EPs) generated by fusion reactions can destabilize Alfvén eigenmodes(AEs), which could result in significant EPs loss and redistribution. Both the eigenvalue code NOVA-K and the wrapped local stability code TGLFEP are used to analyze AE stability. The simulation indicates the beta-induced Alfvén eigenmodes with n?>?5 in the core region are the most unstable. The NOVA-K code is used to benchmark the critical density gradient calculated by TGLFEP. In addition, the EPtran code is employed to predict EP transport induced by unstable AEs and turbulence, which reduce EP density in the core and drive approximately 30% EP transport from the core to the edge, thus the EP density profile flattens and EPs with lower energy deposit near the edge.The hybrid scenario is a projection for CFETR operation with high plasma current and density.Therefore, the energetic particles(EPs) generated by fusion reactions can destabilize Alfvén eigenmodes(AEs), which could result in significant EPs loss and redistribution. Both the eigenvalue code NOVA-K and the wrapped local stability code TGLFEP are used to analyze AE stability. The simulation indicates the beta-induced Alfvén eigenmodes with n?>?5 in the core region are the most unstable. The NOVA-K code is used to benchmark the critical density gradient calculated by TGLFEP. In addition, the EPtran code is employed to predict EP transport induced by unstable AEs and turbulence, which reduce EP density in the core and drive approximately 30% EP transport from the core to the edge, thus the EP density profile flattens and EPs with lower energy deposit near the edge.

关 键 词：CFETR ENERGETIC particle Alfvén EIGENMODES critical gradient model 

分 类 号：TL61[核科学技术—核技术及应用]