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Turbulence impacts synthetic methanol production in a square duct flow: a direct numerical simulation (DNS) study

Fluid Dynamics 2023-11-22 v1

Abstract

Improving the synthetic methanol production efficiency is essential for adopting carbon-neutral methanol technologies. In the present computational fluid dynamics (CFD) study, we investigate synthetic methanol (CH3_3OH) production in a milli-duct with a rectangular cross-section. The duct involves catalytic wall reactions with CO2_2 and H2_2 as reactants. Direct numerical simulations are carried out at bulk Reynolds numbers Reb=Re_\mathrm{b} = 100, 500, 1100 and 2200 spanning laminar and turbulent flow regimes. We investigate a high catalyst loading, corresponding to gas hourly space velocity values of GHSV = 0.086, 0.44, 0.96 and 1.93 m3^3/(kgcat_\mathrm{cat} h). The results consist of the following features. 1) Turbulent mixing may significantly enhance methanol production under transport-limited chemistry, increasing the methanol mass flow rate at the outlet up to 56.4 % in the duct. 2) The reaction rate reaches local minima/maxima in the turbulent ejection/sweep structures observed in the proximity of the catalytic walls, respectively. 3) The single-pass conversion efficiency of CO2_2 and the methanol yield across the duct decrease monotonically as the Reynolds number increases (lower residence time), while in contrast, the methanol mass flow rate at the outlet increases as RebRe_\mathrm{b} increases (higher reactant inflow). These results suggest that turbulent transport could be leveraged to improve methanol yield in straight millichannels, albeit at the cost of increased reactant recycling.

Keywords

Cite

@article{arxiv.2311.12701,
  title  = {Turbulence impacts synthetic methanol production in a square duct flow: a direct numerical simulation (DNS) study},
  author = {Marko Korhonen and Daulet Izbassarov and Judit Nyári and Annukka Santasalo-Aarnio and Ville Vuorinen},
  journal= {arXiv preprint arXiv:2311.12701},
  year   = {2023}
}

Comments

28 pages, 11 figures