2024-06-232024-06-232024-07-21ICES-2024-155https://hdl.handle.net/2346/98854Thomas T. Chen, NASA Johnson Space Center(JSC), USADaniel J. Barta, NASA Johnson Space Center(JSC), USAStephen F. Yates, Honeywell Aerospace Technologies, USAMark Triezenberg, Honeywell Aerospace Technologies, USAICES300: ECLSS Modeling and Test CorrelationsThe 53rd International Conference on Environmental Systems was held in Louisville, Kentucky, USA, on 21 July 2024 through 25 July 2024.To enable complete closure of a Sabatier-based atmosphere revitalization system where oxygen recovery is predicated by carbon dioxide reduction to methane and water, there must be a means of recovering the hydrogen from the byproduct methane. Honeywell�s Carbon Vapor Deposition (CVD) reactor is a potential technology that provides a thermochemical means where methane decomposes at high temperatures (> 1,000 �C) into hydrogen, solid carbon, and a small percentage of hydrocarbons. This advanced methane pyrolysis reactor utilizes a carbon fiber substrate to capture and immobilize the solid pyrolytic carbon rather than allowing continuation towards undesirable soot. The CVD reactor is a highly dynamic system whose characteristic geometry changes while operating. The reactor model was developed to provide predictive performance assessment capabilities at different operating conditions, geometries, and configurations to aid in technology development. Modeling of the CVD reactor considered the multitude of simultaneous and interdependent physicochemical processes that are entailed including: (1) the homogeneous gas-phase pyrolysis reactions, (2) the heterogeneous deposition reactions, and (3) the transport of gaseous species in the reactor domains. A 1-D CVD reactor model was developed based on a general packed bed axial dispersion plug flow reactor model with a solid substrate balance to account for carbon deposition. The model includes 59 species and 243 reactions constituting the methane pyrolysis reaction network, carbon deposition, and interconversions of oxygenate species. The reactor model was compared to brassboard test data where it was shown to be able to capture the pertinent physicochemical phenomena as evidenced by its agreement with short duration run data (i.e., looking at different temperature and flow rate conditions), as well as trend agreement with the brassboard reactor�s long duration test data. Recommendations are provided on further model development steps as well as its uses cases.application/pdfengECLSSKineticsReactorO2 RecoveryClosed-LoopPyrolysisChemical ModelingAir RevitalizationPresentations