Mechanistic Kinetic Model for Biogas Dry Reforming

Ponugoti, Prakash V. and Janardhanan, Vinod M. (2020) Mechanistic Kinetic Model for Biogas Dry Reforming. Industrial & Engineering Chemistry Research, 59 (33). pp. 14737-14746. ISSN 0888-5885

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Abstract

A thermodynamically consistent mechanistic kinetic model for dry reforming of biogas/CH4 (DRM) is developed. Since reverse water gas shift (RWGS) reaction always occur alongside DRM, the overall rate is expressed in terms of individual rates of DRM and RWGS reactions. In order to identify the rate-limiting steps for the derivation of mechanistic kinetics, a microkinetic model is initially developed and validated against experimental measurements. Reaction rate analysis and partial equilibrium analysis are then performed on the microkinetic model to identify the rate-limiting steps. The parameters of the mechanistic kinetic model are estimated using a genetic algorithm. t statistic is performed to establish the confidence level of the estimated parameters. A brute-force sensitivity analysis is performed to identify the most sensitive parameters in the microkinetic model. The models are validated over wide ranges of conditions.

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IITH Creators:
IITH CreatorsORCiD
Janardhanan, Vhttp://orcid.org/0000-0002-3458-4169
Item Type: Article
Uncontrolled Keywords: Confidence levels; Estimated parameter; Mechanistic kinetic models; Microkinetic modeling; Partial equilibrium; Rate-limiting steps; Reverse water gas shift; Sensitive parameter; Biogas; Genetic algorithms; Kinetic parameters; Kinetic theory; Parameter estimation; Reaction rates; Sensitivity analysis
Subjects: Chemistry
Chemical Engineering
Chemical Engineering > Explosives, fuels, related products
Chemical Engineering > Oils, fats, waxes, gases
Divisions: Department of Chemical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 16 Jun 2021 09:44
Last Modified: 16 Jun 2021 09:44
URI: http://raiithold.iith.ac.in/id/eprint/7924
Publisher URL: http://doi.org/10.1021/acs.iecr.0c02433
OA policy: https://v2.sherpa.ac.uk/id/publication/7779
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