Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session NP11: Poster Session V: Laser-plasma Particle Acceleration; HEDP; Turbulence and Transport; DIII-D Tokamak; Machine Learning, Data Science (9:30am-12:30pm)
Wednesday, November 7, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.NP11.119
Abstract: NP11.00119 : Current Profile Optimization for Tearing Mode Avoidance in DIII-D Steady-State Scenarios*
Presenter:
Kyungjin Kim
(ORAU/SNU)
Authors:
Kyungjin Kim
(ORAU/SNU)
J.M. Park
(Oak Ridge National Lab)
David L Green
(Oak Ridge National Lab)
John Canik
(Oak Ridge National Lab)
John Roderick Ferron
(General Atomics)
Christopher T Holcomb
(Lawrence Livermore Natl Lab)
the DIII-D team
(General Atomics)
DIII-D discharges with a relatively high value of internal inductance (li) or with a high minimum value of q (qmin) have improved confinement and stability that is beneficial for steady-state operation at high normalized pressure βN. In these high βN discharges, the duration of the high-performance phase can be limited by the occurrence of tearing modes (TMs). Tearing mode onset is addressed with theory-based integrated modeling using IPS-FASTRAN. The model is validated against the experimental profiles from the magnetic axis to divertor/wall for DIII-D high βN discharges by iterating core transport, edge pedestal, equilibrium, stability, heating, and current drive self-consistently. Resistive MHD simulations of TMs performed with accurate equilibrium reconstruction and well-measured plasma profiles determine the onset dependency on the tearing stability index Δ′ for the purpose of predicting TM onset and evolution in the experiment. Based on IPS-FASTRAN coupled with the TM predictor, the current and pressure profiles are optimized simultaneously for high-performance steady state operation without deleterious TMs.
**Work supported in part by the US DoE under DE-AC05-00OR22725, DE-FC02-04ER54698 and DE-AC52-07NA27344.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.NP11.119
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