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

Yunpeng ZOU (邹云鹏); Minyou YE (叶民友)

doi:10.1088/2058-6272/ab2110

Plasma Science and Technology > 2019 > 21(9): 95104-095104. > DOI: 10.1088/2058-6272/ab2110

Yunpeng ZOU (邹云鹏), Minyou YE (叶民友). Alfvén eigenmode stability analysis and energetic particle transport prediction for CFETR hybrid scenario[J]. Plasma Science and Technology, 2019, 21(9): 95104-095104. DOI: 10.1088/2058-6272/ab2110

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

School of Physical Science, University of Science and Technology of China, Hefei 230026, People's Republic of China

Funds: This work was supported by National Natural Science Foundation of China (Grant No. 11535013) and the National Key Research and Development Program of China (Grant Nos. 2017YFA0402500 and 2018YFE0302101).

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Received Date: March 26, 2019
Revised Date: May 08, 2019
Accepted Date: May 09, 2019

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Abstract

Abstract

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.
- CFETR,
- energetic particle,
- Alfvén eigenmodes,
- critical gradient model

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References

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