Bulletin of the American Physical Society
65th Annual Meeting of the APS Division of Plasma Physics
Monday–Friday, October 30–November 3 2023; Denver, Colorado
Session KI02: MFE: Energetic Particles and Fast Ions
3:00 PM–5:00 PM,
Tuesday, October 31, 2023
Room: Plaza D/E
Chair: Don Spong, ORNL
Abstract: KI02.00004 : Simulating energetic ions and enhanced neutron rates from ion-cyclotron resonance heating with a new fast, self-consistent full-wave / Fokker-Planck model*
4:30 PM–5:00 PM
Presenter:
Samuel Frank
(Massachusetts Institute of Technology MI)
Author:
Samuel Frank
(Massachusetts Institute of Technology MI)
Reproducing fast-ion effects in simulations is difficult. It requires self-consistent coupling of a full-wave solver and a Fokker Planck code which evolve multiple simultaneously resonant ion species. We introduce a new self-consistent model that iterates the TORIC or AORSA full-wave solvers with the CQL3D Fokker-Planck solver using the integrated plasma simulator (IPS). This model iteratively evolves the bounce-averaged ion distribution functions in both parallel and perpendicular velocity-space with a quasilinear RF diffusion operator (Lee, Phys. Plasmas 2017) valid in the ion finite Larmor radius (FLR) limit and the RF electric fields with the resultant non-Maxwellian FLR dielectric tensor (N. Bertelli, Nucl. Fusion 2017). This model provides non-Maxwellian ICRH simulations that are, fully self-consistent, fast, and interoperable with integrated modeling frameworks such as TRANSP/GACODE/IPS-FASTRAN. We demonstrate our model’s capabilities by performing simulations of Alcator C-Mod experiments where enhanced neutron rates resultant from fast-ions driven by harmonic damping of ICRH on deuterium were present in D(H) minority heating experiments, and we perform the first RF heating simulations of SPARC and ITER using self-consistent non-Maxwellian ion distributions to investigate the potential to enhance fusion gain using ICRF-generated fast ions.
*This work was supported by Scientific Discovery Through Advanced Computing Contract No. DE-SC0018090 and DOE grant: DE-FG02-91ER54109. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. DOE under Contract No. DE-AC02-05CH11231 using NERSC award FES-ERCAP0020035
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