Abstract Details
Abstracts
Author: Roelof E. Groenewald
Requested Type: Poster
Submitted: 2023-03-24 14:38:08
Co-authors: A.Necas, S.Nicks, D.Barnes, F.Ceccherini, S.Dettrick
Contact Info:
TAE Technologies
19631 Pauling
Lake Forest, CA 92610
USA
Abstract Text:
The C-2W experiment [1] is a Field Reversed Configuration (FRC) with the addition of external actuators including neutral beam (NB) injection for heating and fueling, electrode biasing for shear stabilization, and magnetic expanders which reduce sheath potentials. Kinetic ion effects play a major role in the stability of such an FRC. For this reason, a fluid-kinetic hybrid algorithm [2] based on kinetic ions and fluid electrons has been added to the well-known particle-in-cell code, WarpX. The hybrid algorithm uses Ohm's law to calculate the electric field with the electron inertia and displacement current effects neglected, and quasineutrality assumed. This solver allows simulations to be run with larger cell-sizes and time-steps, compared to fully kinetic PIC simulations. This development enables reactor scale simulations to be performed with WarpX. The electron fluid can be treated isothermally or in the adiabatic limit. In this work we present the application of the hybrid model to common plasma simulations including ion-Landau damping, the ion beam instability and force free magnetic reconnection. The emergence of common modes and their dispersion relations were also verified, including waves propagating parallel and perpendicular to an applied magnetic field. These tests confirm the accuracy of the implementation, which currently supports 1d, 2d and 3d cartesian coordinates. Performance results of the new algorithm collected on Perlmutter's A100 GPU nodes are also presented for simulations of the scale needed to capture a full fusion reactor.
[1] H. Gota et al., “Overview of C-2W: high temperature, steady-state beam-driven field-reversed configuration plasmas,” Nucl. Fusion, vol. 61, no. 10, Art. no. 10, Oct. 2021, doi: 10.1088/1741-4326/ac2521.
[2] Winske, Dan & Yin, Lin & Omidi, Nick & Karimabadi, Homa & Quest, K.. (2008). Hybrid Simulation Codes: Past, Present and Future—A Tutorial. 10.1007/3-540-36530-3_8.
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