Axisymmetric benchmarks of impurity dynamics in extended-magnetohydrodynamic simulations

B. C. Lyons, C. C. Kim, Y. Q. Liu, N. M. Ferraro, S. C. Jardin, J. McClenaghan, P. B. Parks, L. L. Lao

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

A verification benchmark has been carried out between the M3D-C1 and NIMROD extended-magnetohydrodynamic codes for simulations of impurity-induced disruption mitigation. Disruptions are a significant concern for future tokamaks and high-fidelity simulations are required in order to ensure the success of disruption mitigation techniques (e.g. shattered-pellet injection) in large-scale fusion reactors. Both magnetohydrodynamic (MHD) codes have been coupled to the Killer Pellet RADiation code for impurity dynamics. The codes show excellent agreement in four axisymmetric, nonlinear simulations, particularly during the thermal quench. This agreement is seen in the time histories of global plasma quantities such as thermal energy, radiated power, and total number of electrons, as well as 2D contours of temperature and current density. The simulations predict that, given the same number of atoms injected, argon quenches the plasma two-to-three times as fast as neon. Furthermore, the inclusion of temperature-dependent Spitzer resistivity causes the current to diffuse and to decay, inducing axisymmetric MHD instabilities that result in a current quench. This work represents an important verification of the coupled impurity and MHD models implemented in M3D-C1 and NIMROD, giving greater confidence in the ability of both codes to perform more sophisticated disruption mitigation simulations.

Original languageEnglish (US)
Article number064001
JournalPlasma Physics and Controlled Fusion
Volume61
Issue number6
DOIs
StatePublished - Apr 23 2019

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Keywords

  • benchmark
  • disruption mitigation
  • disruptions
  • impurities
  • integrated modeling
  • magnetohydrodynamics

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