P. Aragüés-Aldea, V.D. Mercader, P. Durán, E. Francés, J.Á. Peña, J. Herguido
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引用次数: 0
Abstract
A simulation of the catalytic CO2 methanation reaction was carried out, evaluating the effect of reactants distributed feeding throughout the bed. The main operational parameters were studied in a multiple-inlet reactor to test their effect on conversions and, most importantly, on selectivities towards both CO and CH4 as reaction products. The analyzed parameters were, firstly, the number of feeding points (N) and the dosage degree of reactants, followed by temperature (T), partial pressures of reactants (H2:CO2 ratios), and the composition of a sweetened biogas as feeding stream (CH4:CO2 ratios). It is confirmed that a distribution of biogas through several side inlets improves selectivities to the desired CH4 product, over other feeding configurations. The effect of distributing reactants becomes intensified when the number of lateral feedings increases. This observation supports the experimental trends already proven in previous works. Regarding main operation parameters such as temperature and H2:CO2 molar ratio, the analysis confirmed that their influence on selectivities acts just as predicted at low conversions. However, when these conversions become higher the space velocity (WHSV) is the most important factor for selectivities. Finally, no significant changes in reaction performance were obtained when modifying the biogas CH4:CO2 ratio in the broad range of methane concentrations from 55 v% to 70 v%.
期刊介绍:
The Journal of CO2 Utilization offers a single, multi-disciplinary, scholarly platform for the exchange of novel research in the field of CO2 re-use for scientists and engineers in chemicals, fuels and materials.
The emphasis is on the dissemination of leading-edge research from basic science to the development of new processes, technologies and applications.
The Journal of CO2 Utilization publishes original peer-reviewed research papers, reviews, and short communications, including experimental and theoretical work, and analytical models and simulations.