Bulletin of the American Physical Society
77th Annual Gaseous Electronics Conference
Monday–Friday, September 30–October 4 2024; San Diego, California
Session FR5: Modeling & Simulation VI
4:00 PM–5:30 PM,
Thursday, October 3, 2024
Room: Great Room 1-4
Chair: Efe Kemaneci, Ruhr Uni Bochum
Abstract: FR5.00001 : Analysis of chemical mechanisms in methane pyrolysis for carbon product generation*
4:00 PM–4:30 PM
Presenter:
Alexander Khrabry
(Princeton University)
Authors:
Alexander Khrabry
(Princeton University)
Igor D Kaganovich
(Princeton Plasma Physics Laboratory)
Yuri Barsukov
(Princeton Plasma Physics Laboratory)
David Barry Graves
(Princeton University)
Melanie T Huynh
(University of California, Berkeley)
Ali Mesbah
(University of California, Berkeley)
Sophia Gershman
(Princeton Plasma Physics Laboratory)
Yevgeny Raitses
(Princeton Plasma Physics Laboratory)
Emre Turkoz
(ExxonMobil Research and Engineering)
Sumathy Raman
(ExxonMobil Research and Engineering)
Methane pyrolysis for carbon nanostructure synthesis is a two-stage process, where conversion of CH4 to C2 hydrocarbons (C2H6, C2H4 and C2H2) precedes the growth of PAH molecules from C2H2. We have developed a single chemical mechanism that accurately describes both stages. It is based on the ABF [2] mechanism for the first stage which was expanded with the most crucial reaction pathways from the mechanism by Tao [3] for small PAH molecules and HACA [4] pathways for larger PAH molecules, up to 37 aromatic rings.
The resulting mechanism was validated through comparison to multiple sets of experimental data for both stages of the process; good agreement was obtained. We show that the inclusion of larger PAH species (up to A37) in the chemical mechanism is crucial for accurate prediction of the fraction of carbon converted to PAH molecules and, correspondingly, the residual fraction of C2H2 in the mixture.
The mechanism has been applied to determine optimal conditions of methane pyrolysis in an idealized thermal plasma reactor similar to those used in the experiments [5] and [6]. A Multi-objective Bayesian Optimization framework [7] has been used for an efficient search of the optimal conditions. The focus of the optimization was on increasing the yields of valuable gaseous products (C2H2 and C2H4) while reducing the formation of soot and energy cost of the process. A Pareto frontier showing a trade-off between these objectives has been found.
[1] A. Khrabry et al, Int. J. Hydrogen Energy 56 (2024) 1340.
[2] J. Appel et al, Combust. Flame 121 (2000) 122.
[3] H. Tao et al, Fuel 255 (2019) 115796.
[4] M. Frenklach et al, Symp. Combust 20 (1984) 887.
[5] J.R. Fincke et al, Plasma Chem. Plasma Process. 22 (2002) 105.
[6] L. Fulcheri et al, Int. J. Hydrogen Energy 48 (2023) 2920.
[7] K. Shao et al, Plasma Sources Sci. Technol. 31 (2022) 055018.
*This research was funded by the US Department of Energy, Office of Science, Fusion Energy Sciences, ExxonMobil and Princeton University.
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