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Stochastic and self-consistent 3D modeling of streamer discharge trees with Kinetic Monte Carlo

Abstract

This paper contains the foundation for a new Particle-In-Cell model for gas discharges, based on Îto diffusion and Kinetic Monte Carlo (KMC). In the new model the electrons are described with a microscopic drift-diffusion model rather than a macroscopic one. We discuss the connection of the Îto-KMC model to the equations of fluctuating hydrodynamics and the advection-diffusion-reaction equation which is conventionally used for simulating streamer discharges. The new model is coupled to a particle description of photoionization, providing a non-kinetic all-particle method with several attractive properties, such as: 1) Taking the same input as a fluid model, e.g. mobility coefficients, diffusion coefficients, and reaction rates. 2) Guaranteed non-negative densities. 3) Intrinsic support for reactive and diffusive fluctuations. 4) Exceptional stability properties. The model is implemented as a particle-mesh model on cut-cell grids with Cartesian adaptive mesh refinement. Positive streamer discharges in atmospheric air are considered as the primary application example, and we demonstrate that we can self-consistently simulate large discharge trees.
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Category

Academic article

Client

  • Research Council of Norway (RCN) / 319930
  • Sigma2 / NN9887K
  • Research Council of Norway (RCN) / 311449

Language

English

Author(s)

Affiliation

  • SINTEF Energy Research / Elkraftteknologi

Year

2024

Published in

Journal of Computational Physics

ISSN

0021-9991

Publisher

Elsevier

Volume

504

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