Performance of Mesoporous Ceria-Supported Pt Catalysts for Oxidative Degradation of Aqueous Solution of Toxic Phenol in a Continuous Fixed Bed Reactor: Optimization of Reaction Conditions, Kinetics, Catalyst Stability, and Characterization

Barman, Puspendu; Basu, Avik Kr; Roy, Shyamal

doi:10.1021/acs.iecr.3c02406

Ind. Eng. Chem. Res.

2023

DOI: 10.1021/acs.iecr.3c02406

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Performance of Mesoporous Ceria-Supported Pt Catalysts for Oxidative Degradation of Aqueous Solution of Toxic Phenol in a Continuous Fixed Bed Reactor: Optimization of Reaction Conditions, Kinetics, Catalyst Stability, and Characterization

Puspendu Barman,

Avik Kr Basu,

Shyamal Roy

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2024

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Maximization of Hydrogen Production via Methane Steam Reforming in a Wavy Microreactor by Optimization of Catalyst Coating: A Combined Computational and Data Analytics Approach

Esfandiary,

Karimi,

Saedodin

2024

Ind. Eng. Chem. Res.

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This study introduces an advanced methodology for optimizing catalytic coatings on microreactor walls used in the steam reforming of methane. By integrating computational fluid dynamics, data analytics, and multiobjective optimization, this approach significantly intensifies the process, reduces catalyst usage, and improves the economic and environmental aspects of hydrogen production. The challenge of identifying ideal catalytic coatings is addressed by employing surrogate functions created by extensive data sets from computational fluid dynamics and machine learning. These surrogate functions are rigorously validated, achieving 99.9% accuracy for both the total H 2 production rate and the H 2 production rate per coated surface area. The optimal catalyst coating demonstrates a 65.8% increase in the H 2 production rate per coated surface area, yet a 9% increase in total entropy generation compared to a fully coated channel. These findings underscore significant opportunities to enhance the cost-effectiveness and sustainability of future microreactors through the optimization of discrete catalytic coatings.

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Maximization of Hydrogen Production via Methane Steam Reforming in a Wavy Microreactor by Optimization of Catalyst Coating: A Combined Computational and Data Analytics Approach

Esfandiary,

Karimi,

Saedodin

2024

Ind. Eng. Chem. Res.

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show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Performance of Mesoporous Ceria-Supported Pt Catalysts for Oxidative Degradation of Aqueous Solution of Toxic Phenol in a Continuous Fixed Bed Reactor: Optimization of Reaction Conditions, Kinetics, Catalyst Stability, and Characterization

Cited by 1 publication

References 58 publications

Maximization of Hydrogen Production via Methane Steam Reforming in a Wavy Microreactor by Optimization of Catalyst Coating: A Combined Computational and Data Analytics Approach

Maximization of Hydrogen Production via Methane Steam Reforming in a Wavy Microreactor by Optimization of Catalyst Coating: A Combined Computational and Data Analytics Approach

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