Advanced Energy and Enstrophy Conserving FEM for Drift-Reduced MHD

ORAL

Abstract

In this work, we explore a high-order time and space discretization for edge plasma turbulence simulations. A drift-reduced extended magnetohydrodynamics model describes turbulence driven by the Kelvin-Helmholtz and drift wave instabilities coupled to the shear Alfven wave. The theory of finite element spaces and collocation integration schemes provides a high-order space and time discretization that satisfies physical constraints including energy and enstrophy conservation and ensuring divergence-free magnetic and drift velocity fields up to machine precision. In particular, we show how a specific choice of time and space discretization tackles the conservation while eliminating numerical artifacts such as dissipation of energy and enstrophy. Moreover, the schemes do not only conserve integrated quantities, but also show noticeable effects on the spatial distribution of the flow itself. The performance and advantages of our proposed discretization are demonstrated using simulations of plasma flows, such as decaying and forced Hasegawa-Mima turbulence. 

 


 



 


*Work for LLNL-ABS-824501 performed by LLNL for US DOE under Contract DE-AC52-07NA27344 and was supported by LLNL Laboratory Directed Research and Development project 20-ERD-038.

Presenters

  • Milan Holec

    • Lawrence Livermore Natl Lab

Authors

  • Milan Holec

    • Lawrence Livermore Natl Lab
  • Ben S Southworth

    • Los Alamos Natl Lab
  • Will Pazner

    • Lawrence Livermore Natl Lab
  • Ilon Joseph

    • Lawrence Livermore Natl Lab
  • Ben Zhu

    • Lawrence Livermore Natl Lab
  • Alejandro Campos

    • Lawrence Livermore Natl Lab
  • Chris J Vogl

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Lab
  • Andris M Dimits

    • Lawrence Livermore Natl Lab
  • Alex Friedman

    • Lawrence Livermore Natl Lab
  • Tzanio Kolev

    • LLNL
    • Lawrence Livermore National Lab
    • Lawrence Livermore Natl Lab
  • Mark L Stowell

    • Lawrence Livermore Natl Lab