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).
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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