Optimization of the Performance of a Cross-flow Gas Mixer for a Partial Oxidation Reactor Through Numerical Modelling

Authors

  • Martins Klevs Institute of Numerical Modelling, University of Latvia
  • Vadims Geza Institute of Numerical Modelling, University of Latvia
  • Andris Jakovičs Institute of Numerical Modelling, University of Latvia
  • Leonid Rodin Encata LLC

DOI:

https://doi.org/10.7250/CONECT.2023.049

Keywords:

Computational fluid dynamics, gas mixing, partial oxidization, shape optimization, syngas production

Abstract

Efficient mixing of gases has many different applications in science and engineering. Gas mixers are often used in chemical reactors that use pre-mixed gases in their reaction process. In this work, we vary the geometry of a mixer in order to maximize the uniformity of the mixed gases. The mixing happens in several pipes that have small cross-flow inlets on the sides that stimulate turbulent mixing. The mixer geometry is varied by changing the configuration of the small cross-flow inlets on the pipes, and the mixing quality is quantified by the distribution of gases at certain distances from the cross-flow inlets. The flow was modelled by using open-source finite volume code. We show that standard RANS k-ϵ steady state numeric models greatly overestimate the mixing rate between different gasses, as it ignores transient changes in the flow. Transient simulations using a LES turbulence model show that the gas concentrations in the mixing pipe exhibit a pulsating behavior. The amount and the configuration of the cross-flow inlets play a significant role in how the gases mix and how the concentrations vary over time. The resulting mixer geometry will be used as a part of a partial oxidation reactor design in the future.

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Published

10.05.2023

Issue

Section

Energy and Environmental Modelling

How to Cite

Optimization of the Performance of a Cross-flow Gas Mixer for a Partial Oxidation Reactor Through Numerical Modelling. (2023). CONECT. International Scientific Conference of Environmental and Climate Technologies, 69. https://doi.org/10.7250/CONECT.2023.049