A gyrokinetic simulation model for 2D equilibrium potential in the scrape-off layer of a field-reversed configuration

Author:

Wang W. H.1ORCID,Wei X. S.1ORCID,Lin Z.1ORCID,Lau C.2ORCID,Dettrick S.2ORCID,Tajima T.12ORCID

Affiliation:

1. Department of Physics and Astronomy, University of California 1 , Irvine, Irvine, California 92697, USA

2. TAE Technologies, Inc. 2 , Foothill Ranch, California 92610, USA

Abstract

The equilibrium potential structure in the scrape-off layer (SOL) of the field-reversed configuration (FRC) can be affected by the penetration of edge biasing applied at the divertor ends. The primary focus of the paper is to establish a formulation that accurately captures both parallel and radial variations of the two-dimensional (2D) potential in SOL. The formulation mainly describes a quasi-neutral plasma with a logical sheath boundary. A full-f gyrokinetic ion model and a massless electron model are implemented in the GTC-X code to solve for the self-consistent equilibrium potential, given fixed radial potential profiles at the boundaries. The first essential point of this 2D model lies in its ability to couple radial and parallel dynamics stemming from resistive currents and drag force on ions. The model successfully recovers the fluid force balance and continuity equations. These collisional effects on 2D potential mainly appear through the density profile changes, modifying the potential through electron pressure gradient. This means an accurate prescription of electron density and temperature profiles is important in predicting the potential structure in the FRC SOL. The Debye sheath potential and the potential profiles applied at the boundaries can be additional factors contributing to the 2D variations in SOL. This comprehensive full-f scheme holds promise for future investigations into turbulent transport in the presence of the self-consistent 2D potential together with the non-Maxwellian distributions and open boundary conditions in the FRC SOL.

Funder

TAE Technology

Oak Ridge National Laboratory

National Energy Research Scientific Computing Center

DOE Exascale Computing Project

DOE SciDAC and INCITE programs

Publisher

AIP Publishing

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