What is it about?
In this work, synthesis gas production by auto-thermal reforming was simulated based on a heterogeneous and one-dimensional model in two cases. Then, the effect of operating variables on the system behavior was studied. Finally, Pareto-optimal solutions were determined by non-dominated sorting genetic algorithm II (NSGA-II). The objectives are obtaining H2/CO ratio of 2 in the produced synthesis gas (suitable for methanol production and Fischer-Tropsch reactions) and maximum methane conversion.
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Why is it important?
Speciļ¬c objectives of this study were: Simulating an industrial scale auto-thermal reformer Predicting effects of main operating variables such as temperature, etc. Optimizing the ATR reformer to produce syngas appropriate for methanol production and Fischer-Tropsch process To the best knowledge of the present authors, none of the previous studies have considered the optimization of auto-thermal reformer for producing syngas with H2/CO ratio of near 2 for application in methanol production
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This page is a summary of: Simulating and Optimizing Auto-Thermal Reforming of Methane to Synthesis Gas Using a Non-Dominated Sorting Genetic Algorithm II Method, Chemical Engineering Communications, July 2014, Taylor & Francis,
DOI: 10.1080/00986445.2014.942732.
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