Modeling tri-reforming of methane for carbon dioxide utilization and hydrogen production

The growing demand for low-emission hydrogen production has intensified interest in Tri-Reforming of Methane (TRM) as a promising CO 2 utilization pathway. This study presents a multiscale, one-dimensional, steady-state pseudo-homogeneous reactor model developed in Visual Basic for Applications (VBA) to simulate TRM. The uniqueness of this model is that it incorporates nine primary reactions using a Langmuir-Hinshelwood-Hougen-Watson (LHHW) kinetic framework and accounts for transport limitations through overall effectiveness factor calculations, addressing gaps in existing TRM models. Validation against experimental data from the literature yielded a mean absolute percentage error (MAPE) of 1.28 %, confirming the model's accuracy. The model was also applied to simulate Steam Methane Reforming (SMR) and Autothermal Reforming (ATR), demonstrating its adaptability across multiple reforming technologies. Furthermore, catalyst scalability was assessed across particle sizes up to 10 mm. This work provides a flexible and robust simulation tool for evaluating catalyst performance, optimizing reactor design, and supporting the development of TRM-based hydrogen production systems and related reforming processes. • Developed a lumped kinetics of nine reactions representing Tri Reforming of Methane (TRM). • Validated TRM lumped kinetics within MAPE of 1.28 % of experimental data using Excel VBA. • Evaluated the model versatility by testing it for different reforming technologies (SRM, ATR). • Integrated mass transfer limitations to expand model reliability across the multi scales (bulk phase and catalyst scale).

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Publication Details

Journal
Energy
Published
2025-08-08
DOI
https://doi.org/10.1016/j.energy.2025.137977
Citations
3
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
1.17

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article

Modeling tri-reforming of methane for carbon dioxide utilization and hydrogen production

Nimir O. Elbashir, Mohamed S. Challiwala, Tagwa Musa, Ahmed Ashour et al.
3 citations
Energy
Catalysts for Methane Reforming
1.17
article

Modeling tri-reforming of methane for carbon dioxide utilization and hydrogen production

Nimir O. Elbashir, Mohamed S. Challiwala, Tagwa Musa, Ahmed Ashour, Benjamin A. Wilhite
article en
3 citations

Abstract

The growing demand for low-emission hydrogen production has intensified interest in Tri-Reforming of Methane (TRM) as a promising CO 2 utilization pathway. This study presents a multiscale, one-dimensional, steady-state pseudo-homogeneous reactor model developed in Visual Basic for Applications (VBA) to simulate TRM. The uniqueness of this model is that it incorporates nine primary reactions using a Langmuir-Hinshelwood-Hougen-Watson (LHHW) kinetic framework and accounts for transport limitations through overall effectiveness factor calculations, addressing gaps in existing TRM models. Validation against experimental data from the literature yielded a mean absolute percentage error (MAPE) of 1.28 %, confirming the model's accuracy. The model was also applied to simulate Steam Methane Reforming (SMR) and Autothermal Reforming (ATR), demonstrating its adaptability across multiple reforming technologies. Furthermore, catalyst scalability was assessed across particle sizes up to 10 mm. This work provides a flexible and robust simulation tool for evaluating catalyst performance, optimizing reactor design, and supporting the development of TRM-based hydrogen production systems and related reforming processes. • Developed a lumped kinetics of nine reactions representing Tri Reforming of Methane (TRM). • Validated TRM lumped kinetics within MAPE of 1.28 % of experimental data using Excel VBA. • Evaluated the model versatility by testing it for different reforming technologies (SRM, ATR). • Integrated mass transfer limitations to expand model reliability across the multi scales (bulk phase and catalyst scale).

EnergyVol. 335
Energy Fuels (United States) (US), Texas A&M University at Qatar (QA), Texas A&M University (US)
Qatar Foundation, Qatar National Research Fund
Openalex Percentile: Top 21%
Catalysts for Methane Reforming
1.17
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