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Title: Fully nonlinear δf gyrokinetics for scrape-off layer parallel transport

Edge plasmas present a few challenges for gyrokinetic simulations that are absent in tokamak cores. Among them are large fluctuation amplitudes and plasma-wall interactions in the open field line region. In this work, the widely used core turbulence code GENE, which employs a δf-splitting technique, is extended to simulate open systems with large electrostatic fluctuations. With inclusion and proper discretization of the parallel nonlinear term, it becomes equivalent to a full- f code and the δf-splitting causes no fundamental difficulty in handling large fluctuations. The loss of particles to the wall is accounted for by using a logical sheath boundary, which is implemented in the context of a finite-volume method. The extended GENE code is benchmarked for the well-established one-dimensional parallel transport problem in the scrape-off layer during edge-localized modes. The parallel heat flux deposited onto the divertor target is compared with previous simulation results and shows good agreement.
Authors:
ORCiD logo [1] ; ORCiD logo [1] ;  [1]
  1. Univ. of California, Los Angeles, CA (United States). Dept. of Physics and Astronomy
Publication Date:
Grant/Contract Number:
SC0016073; S014889-R; AC02-05CH11231
Type:
Accepted Manuscript
Journal Name:
Physics of Plasmas
Additional Journal Information:
Journal Volume: 23; Journal Issue: 10; Journal ID: ISSN 1070-664X
Publisher:
American Institute of Physics (AIP)
Research Org:
Univ. of California, Los Angeles, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Scientific User Facilities Division
Contributing Orgs:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Princeton Univ., NJ (United States). Max-Planck-Princeton Center for Plasma Physics
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; 43 PARTICLE ACCELERATORS; plasma gyrokinetics; turbulent flows; tokamaks; edge localized modes; plasma sheaths; boundary value problems; plasma transport properties; parallel processing; divertors; particle-in-cell method
OSTI Identifier:
1465152
Alternate Identifier(s):
OSTI ID: 1328478

Pan, Q., Told, D., and Jenko, F.. Fully nonlinear δf gyrokinetics for scrape-off layer parallel transport. United States: N. p., Web. doi:10.1063/1.4964666.
Pan, Q., Told, D., & Jenko, F.. Fully nonlinear δf gyrokinetics for scrape-off layer parallel transport. United States. doi:10.1063/1.4964666.
Pan, Q., Told, D., and Jenko, F.. 2016. "Fully nonlinear δf gyrokinetics for scrape-off layer parallel transport". United States. doi:10.1063/1.4964666. https://www.osti.gov/servlets/purl/1465152.
@article{osti_1465152,
title = {Fully nonlinear δf gyrokinetics for scrape-off layer parallel transport},
author = {Pan, Q. and Told, D. and Jenko, F.},
abstractNote = {Edge plasmas present a few challenges for gyrokinetic simulations that are absent in tokamak cores. Among them are large fluctuation amplitudes and plasma-wall interactions in the open field line region. In this work, the widely used core turbulence code GENE, which employs a δf-splitting technique, is extended to simulate open systems with large electrostatic fluctuations. With inclusion and proper discretization of the parallel nonlinear term, it becomes equivalent to a full-f code and the δf-splitting causes no fundamental difficulty in handling large fluctuations. The loss of particles to the wall is accounted for by using a logical sheath boundary, which is implemented in the context of a finite-volume method. The extended GENE code is benchmarked for the well-established one-dimensional parallel transport problem in the scrape-off layer during edge-localized modes. The parallel heat flux deposited onto the divertor target is compared with previous simulation results and shows good agreement.},
doi = {10.1063/1.4964666},
journal = {Physics of Plasmas},
number = 10,
volume = 23,
place = {United States},
year = {2016},
month = {10}
}