(719e) Design of a Sabatier Reactor for CO2 Conversion into Synthetic Methane
Design of a
Sabatier reactor for CO2 conversion into synthetic methane
Duo Sun and David Simakov
Department of Chemical
Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Converting CO2-reach streams
(e.g., biogas, fermentation off-gas, flue gas) into synthetic natural gas (SNG)
via Sabatier reaction (CO2 hydrogenation into CH4) is an
attractive route for CO2 utilization [1-3]. There is a potential to
decrease CO2 emissions significantly and, at the same time, to
reduce the consumption of fossil natural gas. To make the process sustainable,
H2 which is required for this reaction should have zero or very low
carbon footprint. This requirement is achievable if H2 is produced
via water electrolysis using renewable electricity (hydro, wind, solar) or
surplus (e.g., nuclear) electricity. Electrolysis can be done in a highly
efficient way using polymer electrolyte membrane (PEM) electrolyzes . However,
a number of technological issues remain to be resolved, including catalyst deactivation
and thermal management (Sabatier reaction is highly exothermic) . The study
presented herein focuses on the design of a highly efficient and compact
Sabatier reactor for CO2 hydrogenation into synthetic natural gas.
general concept is a heat-exchanger type packed bed with active cooling for
efficient heat removal. Compressed air, steam, or molten salt can be used as a
coolant; molten salts are excellent heat transfer fluids due to their high heat
capacity and thermal conductivity [6-9]. To identify the optimal configuration,
we performed numerical simulations, using a transient pseudo-homogeneous model .
We searched for optimal operating conditions to maximize methane yield and to
prevent at the same time reactor overheating and catalyst deactivation. We have
identified several configurations that allow highly efficient CO2
hydrogenation, providing CO2 conversions and CH4 yields higher than
90%. A preliminary techno-economic evaluation demonstrates the potential of
this approach for commercialization.
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