論文

査読有り
2017年6月

Multi-machine analysis of turbulent transport in helical systems via gyrokinetic simulation

NUCLEAR FUSION
  • A. Ishizawa
  • ,
  • Y. Kishimoto
  • ,
  • T. -H. Watanabe
  • ,
  • H. Sugama
  • ,
  • K. Tanaka
  • ,
  • S. Satake
  • ,
  • S. Kobayashi
  • ,
  • K. Nagasaki
  • ,
  • Y. Nakamura

57
6
開始ページ
066010
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1088/1741-4326/aa6603
出版者・発行元
IOP PUBLISHING LTD

We have investigated drift-wave instability and nonlinear turbulent transport in two configurations with different magnetic field structures by means of electromagnetic gyrokinetic simulations. Here, one is the neoclassically optimized Large Helical Device (LHD) plasma and the other is the Heliotron J (HJ) plasma. First, we show that the validation against the turbulent transport in the LHD plasma is successful, and that the neoclassically optimized configuration has smaller turbulent transport. Second, the neoclassical optimization through an enhanced toroidal mirror ratio, which is a capability of non-axisymmetric plasma, is found to improve the turbulent transport in the HJ plasma, which is qualitatively consistent with the observation in the HJ. Hence, the neoclassical optimization reduces the turbulent transport in both the LHD and HJ plasmas. Third, as a trial in evaluating the performance of a helical system designed with different concepts for stability, we compared turbulent transport in these plasmas and found that both the mixing-length-estimated diffusion and nonlinear turbulent transport of the HJ plasma are smaller than those of the LHD plasma in gyro-Bohm units. The significant difference is stronger zonal flows in the HJ plasma than in the LHD plasma.

Web of Science ® 被引用回数 : 12

リンク情報
DOI
https://doi.org/10.1088/1741-4326/aa6603
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000399433800002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1088/1741-4326/aa6603
  • ISSN : 0029-5515
  • eISSN : 1741-4326
  • Web of Science ID : WOS:000399433800002

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