Spatially hybrid computations for streamer discharges with generic features of pulled fronts: I. Planar fronts

  • Authors:

  • Chao Li;Ute Ebert;Willem Hundsdorfer

  • Affiliations:

  • Centre for Mathematics and Informatics (CWI), P.O. Box 94079, 1090 GB Amsterdam, The Netherlands;Centre for Mathematics and Informatics (CWI), P.O. Box 94079, 1090 GB Amsterdam, The Netherlands and Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindho ...;Centre for Mathematics and Informatics (CWI), P.O. Box 94079, 1090 GB Amsterdam, The Netherlands and Department of Science, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, The N ...

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2010

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Abstract

Streamers are the first stage of sparks and lightning; they grow due to a strongly enhanced electric field at their tips; this field is created by a thin curved space charge layer. These multiple scales are already challenging when the electrons are approximated by densities. However, electron density fluctuations in the leading edge of the front and non-thermal stretched tails of the electron energy distribution (as a cause of X-ray emissions) require a particle model to follow the electron motion. But present computers cannot deal with all electrons in a fully developed streamer. Therefore, super-particle have to be introduced, which leads to wrong statistics and numerical artifacts. The method of choice is a hybrid computation in space where individual electrons are followed in the region of high electric field and low density while the bulk of the electrons is approximated by densities (or fluids). We here develop the hybrid coupling for planar fronts. First, to obtain a consistent flux at the interface between particle and fluid model in the hybrid computation, the widely used classical fluid model is replaced by an extended fluid model. Then the coupling algorithm and the numerical implementation of the spatially hybrid model are presented in detail, in particular, the position of the model interface and the construction of the buffer region. The method carries generic features of pulled fronts that can be applied to similar problems like large deviations in the leading edge of population fronts, etc.