Article (Scientific journals)
Modelling post-plasma quenching nozzles for improving the performance of CO2 microwave plasmas
Van Alphen, Senne; Hecimovic, Ante; Kiefer, Christian K. et al.
2023In Chemical Engineering Journal, 462, p. 142217
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Keywords :
Computational fluid dynamics; Gas quenching; Microwave plasma; Plasma-based CO2 conversion; Chemical kinetic model; Convective cooling; Hot gas; Low flow; Performance; Post-plasma; Recombination reactions; Chemistry (all); Environmental Chemistry; Chemical Engineering (all); Industrial and Manufacturing Engineering; General Chemical Engineering; General Chemistry
Abstract :
[en] Given the ecological problems associated to the CO2 emissions of fossil fuels, plasma technology has gained interest for conversion of CO2 into value-added products. Microwave plasmas operating at atmospheric pressure have proven to be especially interesting, due to the high gas temperatures inside the reactor (i.e. up to 6000 K) allowing for efficient thermal dissociation of CO2 into CO and O2. However, the performance of these high temperature plasmas is limited by recombination of CO back into CO2 once the gas cools down in the afterglow. In this work, we computationally investigated several quenching nozzles, developed and experimentally tested by Hecimovic et al., [1] for their ability to quickly cool the gas after the plasma, thereby quenching the CO recombination reactions. Using a 3D computational fluid dynamics model and a quasi-1D chemical kinetics model, we reveal that a reactor without nozzle lacks gas mixing between hot gas in the center and cold gas near the reactor walls. Especially at low flow rates, where there is an inherent lack of convective cooling due to the low gas flow velocity, the temperature in the afterglow remains high (between 2000 and 3000 K) for a relatively long time (in the 0.1 s range). As shown by our quasi-1D chemical kinetics model, this results in a important loss of CO due to recombination reactions. Attaching a nozzle in the effluent of the reactor induces fast gas quenching right after the plasma. Indeed, it introduces (i) more convective cooling by forcing cool gas near the walls to mix with hot gas in the center of the reactor, as well as (ii) more conductive cooling through the water-cooled walls of the nozzle. Our model shows that gas quenching and the suppression of recombination reactions have more impact at low flow rates, where recombination is the most limiting factor in the conversion process.
Disciplines :
Chemistry
Author, co-author :
Van Alphen, Senne;  Research Group PLASMANT, University of Antwerp, Belgium ; Research Group ChIPS, University of Mons, Belgium
Hecimovic, Ante;  Max-Planck-Institut für Plasmaphysik, Germany
Kiefer, Christian K.;  Max-Planck-Institut für Plasmaphysik, Germany
Fantz, Ursel ;  Max-Planck-Institut für Plasmaphysik, Germany
Snyders, Rony  ;  Université de Mons - UMONS > Faculté des Science > Service de Chimie des Interactions Plasma-Surface ; Materia Nova Research Center, Mons, Belgium
Bogaerts, Annemie ;  Research Group PLASMANT, University of Antwerp, Belgium
Language :
English
Title :
Modelling post-plasma quenching nozzles for improving the performance of CO2 microwave plasmas
Publication date :
15 April 2023
Journal title :
Chemical Engineering Journal
ISSN :
1385-8947
eISSN :
1873-3212
Publisher :
Elsevier B.V.
Volume :
462
Pages :
142217
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
S882 - Chimie des Interactions Plasma-Surface
Research institute :
Matériaux
Funding text :
This research was supported by the Excellence of Science FWO-FNRS project (FWO grant ID GoF9618n, EOS ID 30505023), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 810182 – SCOPE ERC Synergy project), and through long-term structural funding (Methusalem). The calculations were performed using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen (UAntwerpen), a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI) and the UAntwerpen.This research was supported by the Excellence of Science FWO-FNRS project (FWO grant ID GoF9618n, EOS ID 30505023), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 810182 – SCOPE ERC Synergy project), and through long-term structural funding (Methusalem). The calculations were performed using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen (UAntwerpen), a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI) and the UAntwerpen.
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