Abstract
This study prepared an LB energy-saving high temperature shift catalyst by optimizing its prepare para- meters with artificial neural network, and measured its catalytic activities at various steam-gas ratios. It shows that the LB catalyst performs well at a lower steam-gas ratio. The chromatographic retention parameters of CO, CO2, and H2O on LB catalyst were experimentally determined by means of inverse gas chromatography (IGC). Adsorption en- thalpies, Gibbs adsorption free energies and adsorption entropies of different gases were estimated by their retention volumes in infinite dilution region. The interaction parameters (χ) between absorbate gases and LB catalyst were cal- culated according to Flory-Huggins theory, and were inversely linear with temperature. The thermodynamics mecha- nism of the adsorption process was discussed from the view of the microcosmic factors of molecular structure and ther- modynamic properties.
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