4.6 Article

Development of an Improved Kinetic Model for CO2 Hydrogenation to Methanol

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CATALYSTS
卷 13, 期 10, 页码 -

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MDPI
DOI: 10.3390/catal13101349

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methanol synthesis; CO2 hydrogenation; Langmuir-Hinshelwood/Hougen-Watson kinetics; modified kinetic model; power-to-methanol

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This paper focuses on evaluating the intrinsic kinetics of methanol synthesis based on CO2 hydrogenation and reverse water-gas shift reactions. The kinetic studies were performed using the industrial catalyst Cu/ZnO/Al2O3/MgO. A modified model with three active sites provided the best fit to the data.
The kinetics of methanol synthesis remains debatable for various reasons, such as the lack of scientifically conclusive agreement about reaction mechanisms. The focus of this paper is on the evaluation of the intrinsic kinetics of the methanol synthesis reaction based on CO2 hydrogenation and the associated reverse water-gas shift as overall reactions. The industrial methanol synthesis catalyst, Cu/ZnO/Al2O3/MgO, was used for performing the kinetic studies. An optimal kinetic model was assessed for its ability to predict the experimental data from differential to integral conditions, contrary to the typical fitting of only the integral conditions' data (common practice, as reported in the literature). The catalyst testing and kinetic evaluations were performed at various temperatures (210-260 C-degrees) and pressures (40-77 bar), and for different stoichiometric numbers (0.9-1.9), H-2/CO2 ratios (3.0-4.4) and carbon oxide ratios (0.9-1.0), in an isothermal fixed bed reactor, operated in a plug-flow mode. Experiments with CO in the feed were also generated and fitted. Different literature kinetic models with different assumptions on active sites, rate-determining steps, and hence, model formulations were fitted and compared. The original Seidel model appeared to fit the kinetic data very well, but it has twelve parameters. The modified model (MOD) we propose is derived from this Seidel model, but it has fewer (nine) parameters-it excludes CO hydrogenation, but it takes into consideration the morphological changes of active sites and CO adsorption. This MOD model, with three active sites, gave the best fit to all the data sets.

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