Hybrid fluid-kinetic model for neutral particles in the plasma edge. (January 2019)

• Record Type: Journal Article
• Authors: Horsten, N.; Samaey, G.; Baelmans, M.
• Is Part Of: Nuclear materials and energy. Volume 18(2019)
• Page Start: 201
• Page End: 207
• Publication Date: 2019-01
• Subjects: Fluid approximations -- Kinetic model -- Neutrals -- Plasma edge modeling; Nuclear energy -- Periodicals; Nuclear fuels -- Periodicals; Nuclear reactors -- Materials -- Periodicals; Radioactive substances -- Periodicals; 621.4833
• DOI: 10.1016/j.nme.2018.12.018
• Languages: English
• ISSNs: 2352-1791

Abstract

Highlights: Assessment of a hybrid fluid-kinetic model for neutral atoms in the plasma edge. The model is based on kinetic corrections on the fluid solution. A parallel momentum equation is needed to obtain a well-performing hybrid model. Statistical error reduction with 47% on the particle source. Statistical error reduction with 69% on the parallel momentum source. Abstract: We elaborate a hybrid fluid-kinetic model for neutral particles in the plasma edge. A macro/fluid model with kinetic corrections in the closure terms of the fluid moment equations is solved in the entire domain. The kinetic corrections follow from a Monte Carlo simulation of the micro/kinetic part. We compare two hybrid models with different underlying fluid approximations: (i) a pure pressure-diffusion equation; and (ii) a continuity and parallel momentum equation with pressure-diffusion transport only retained in the directions perpendicular to the magnetic field lines. We asses their performance for a high recycling slab case with fixed background plasma. Compared to a Monte Carlo simulation of the full kinetic equation, the statistical error on the particle source is reduced with 40% and 47% for respectively the hybrid model without and with the parallel momentum equation for the same computational time. For the parallel momentum source there is only a reduction for the model with parallel momentum equation (about 69%). Unfortunately, the statistical error on the ion energy source slightly increases for both hybrid models.