Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session JO03: KSTAR Tokamak
2:00 PM–4:48 PM,
Tuesday, October 18, 2022
Room: Ballroom 100 C
Chair: Rajesh Maingi, PPPL
Abstract: JO03.00001 : KSTAR Overview*
2:00 PM–2:12 PM
Presenter:
Won Ha Ko
(Korea Institute of Fusion Energy)
Authors:
Won Ha Ko
(Korea Institute of Fusion Energy)
S.W. Yoon
(Korea Institute of Fusion Energy)
W.C. Kim
(Korea Institute of Fusion Energy)
J.G. Kwak
(Korea Institute of Fusion Energy)
K.R. Park
(Korea Institute of Fusion Energy)
Y.U. Nam
(Korea Institute of Fusion Energy)
S.J. Wang
(Korea Institute of Fusion Energy)
J. Chung
(Korea Institute of Fusion Energy)
B.H. Park
(Korea Institute of Fusion Energy)
G.Y. Park
(Korea Institute of Fusion Energy)
H.H. Lee
(Korea Institute of Fusion Energy)
H.S. Han
(Korea Institute of Fusion Energy)
W.C. Lee
(Korea Institute of Fusion Energy)
Y.S. Na
(Seoul National University)
G.S. Yun
(POSTECH)
Y. In
(UNIST)
Y.C. Ghim
(KAIST)
J.P. Lee
(Hanyang University)
J.M. Kwon
(Korea Institute of Fusion Energy)
J.W. Lee
(Korea Institute of Fusion Energy)
Y.M. Jeon
(Korea Institute of Fusion Energy)
J. Kim
(Korea Institute of Fusion Energy)
G.W. Shin
(Korea Institute of Fusion Energy)
M.J. Choi
(Korea Institute of Fusion Energy)
J.M. Park
(ORNL)
S.K. Kim
(PPPL)
J.W. Juhn
(Korea Institute of Fusion Energy)
Y.H. Lee
(Korea Institute of Fusion Energy)
J. Kim
(Korea Institute of Fusion Energy)
K. Kim
(Korea Institute of Fusion Energy)
M. Kim
(Korea Institute of Fusion Energy)
J.H. Hwang
(KAIST)
H.W. Shin
(KAIST)
J.K. Lee
(Korea Institute of Fusion Energy)
J.H. Lee
(Korea Institute of Fusion Energy)
J. Seol
(Korea Institute of Fusion Energy)
J.G. Bak
(Korea Institute of Fusion Energy)
H.S. Kim
(Korea Institute of Fusion Energy)
S. G. Lee
(Korea Institute of Fusion Energy)
J.S. Ko
(Korea Institute of Fusion Energy)
S.H. Hahn
(Korea Institute of Fusion Energy)
S.C. Hong
(Korea Institute of Fusion Energy)
H.Y. Lee
(Korea Institute of Fusion Energy)
S.I. Lee
(Korea Institute of Fusion Energy)
J.W. Kim
(Korea Institute of Fusion Energy)
J. K. Park
(PPPL)
N.C. Logan
(LLNL)
S.M. Yang
(PPPL)
E. Kolemen
(PPPL)
J. Barr
(General Atomics)
Y. S. Park
(Columbia Uni.)
S. A. Sabbagh
(Columbia Uni.)
K. Ida
(NIFS)
S. Kim
(ITER Organization)
E. Schuster
(Lehigh Univ.)
E. Gilson
(General Atomics)
D. Eldon
(General Atomics)
T. Tala
(VTT TRC, Finland)
B.S. Kim
(Seoul National University)
H.J. Lee
(Hanyang University)
D.K. Kim
(POSTECH)
J.M. Seo
(Seoul National University)
J.H. Yoon
(KAIST)
KSTAR team
(Korea Institute of Fusion Energy)
Collaboration:
1 KFE, 2 SNU, 3POSTECH, 4UNIST, 5KAIST, 6 Hanyang Univ, Korea, 7ORNL, USA, 8PPPL, 9GA, 10Columbia Uni. USA, 11NIFS, Japan, 12ITER Organization, France, 13Lehigh Univ. USA, 14VTT TRC, Finland
Symmetric multiple Shattered Pellet Injections (SPIs) for ITER disruption mitigation operation uniquely demonstrated for its performance in KSTAR. The real time DECAF (Disruption Event Characterization and Forecasting) validated the real time disruption event characterization and forecasting events on KSTAR.
In recent KSTAR 3D magnetic field experiments, ELM optimization and automatic control techniques such as adapted ELM controller [1] and Machine Learning algorithm [2] in order to suppress ELM successfully implemented in KSTAR PCS. Machine learning algorithm successfully suppressed nearly complete ELM-crash with the first ELM. Machine learning, adaptive ELM controller and ERMPs applied to RMP-driven ELM suppression experiments with long pulses for ITER operation.
To enhance understanding of the fundamental processes, the KSTAR research also focused on interaction of island and turbulence in pedestal with complexity-enthropy and the dynamics of turbulence based on broadband ECE diagnostics.
*This research was supported by R&D Program of "KSTAR Experimental Collaboration and Fusion Plasma Research (EN2201-12)" through the Korea Institute of Fusion Energy (KFE) funded by Korea Ministry of Science and ICT (MSIT).
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