The Investigation of Fast Ion Effects in the Internal Transport Barrier Operation in KSTAR

ORAL

Abstract

Fast ions generated from the fusion reaction will be used as a self-heating source for sustaining the future burning plasmas. Therefore, it is essential to understand the fast ion effects on fusion plasmas. In recent, it has been known that fast ions can suppress turbulence through various mechanisms including an increase in the pressure gradient [1], dilution effects [2], and changes in the zonal shearing rate [3]. Various physical mechanisms of fast ion effects for turbulence suppression during the internal transport barrier (ITB) operation were investigated in KSTAR plasmas. We observed that a gyrokinetic simulation predicted a significant reduction of thermal energy fluxes when fast ions were included in the KSTAR ITB plasma [4] heated by neutral beam injection with a high fast ion fraction and a peaked fast ion density profile. It turned out that the dominant physical mechanism for turbulence suppression by fast ions in this KSTAR ITB plasma was dilution effects including both effects of reduced main ion density fraction and change of main ion density gradient. Furthermore, it was found that the sole effect of the inverted main ion density gradient was sufficient to suppress the turbulence enough for ITB sustainment. The significance of this finding lies in its potential to explore novel operational modes with improved confinement through effective turbulence control in the future. By manipulating the main ion density gradient through various methods such as pellet injection, impurity puffing, or the addition of fast ions, the ability to regulate turbulence can be achieved. Additionally, fast ion effects on KSTAR ITB plasmas with the different experimental conditions [5,6] will be discussed.

*This study was supported by the R&D Program of the KSTAR Experimental Collaboration and Fusion Plasma Research (EN2101-12), the Korea Institute of Fusion Energy (N05220017), and Development of Key Technology and Management of ITER Project (2023-IN2304-9). The computing resource supporting this study was provided by the National Supercomputing Center with supercomputing resources including technical support (KSC-2023-CRE-0075).

Publication: [1] J. Citrin et al., Phys. Rev. Lett. 111, 155001 (2013).
[2] G. J. Wilkie et al., Nucl. Fusion 58, 082024 (2018).
[3] A. Di Siena et al., Nucl. Fusion 59, 124001 (2019).
[4] H. Han et al., Nature 609, 269 (2022).
[5] J. Chung et al., Nucl. Fusion 58, 016019 (2018).
[6] J. Chung et al., Nucl. Fusion 61, 126051 (2021).

Presenters

  • Donguk Kim

    • KAIST

Authors

  • Donguk Kim

    • KAIST
  • Sangjin Park

    • Seoul National University
  • Gyungjin Choi

    • Seoul National University
  • Yeongwoo Cho

    • Korea Institute of Fusion Energy
  • Jisung Kang

    • Korea Institute of Fusion Energy
  • Hyunsun Han

    • KFE
    • Korea Institute of Fusion Energy
    • Korean Institute of Fusion Energy
  • Jeff Candy

    • General Atomics - San Diego
  • Emily A Belli

    • General Atomics
  • Taik Soo Hahm

    • Korea Institute of Fusion Energy
    • Seoul National University
  • Y.S. Na

    • Seoul National University
  • C. Sung

    • KAIST
    • Korea Advanced Institute of Science and Technology