Journal
ENERGY TECHNOLOGY
Volume 5, Issue 8, Pages 1373-1391Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/ente.201600688
Keywords
adsorption; binary mixtures; hydrocarbons; ternary mixtures; zeolites
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Funding
- Research Center for CO2 Capture (RCCO2C), Chemical Engineering Department, Universiti Teknologi PETRONAS
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In this work, GERG2008 EoS embedded in a volumetric-gravimetric technique was utilized to measure multicomponent partial uptakes into the mixture. The sophisticated combination may overlap recent theoretical measurements and replace it with real-time and experimental selective adsorption analysis. 13X zeolite was utilized as a solid adsorbent for the adsorption of binary and ternary CO2/CH4/H2O mixtures. Premixed and preloaded water vapor was studied at 323K temperature and up to 10bar pressure. The isotherms of individual components within the mixture were identified and compared to the adsorption data of the pure components for assured benchmarking and validation. Artificial neural network (ANN) modeling was used to predict ternary mixtures. The ANN results showed a good agreement with the experimental data. Moreover, simulated configurations by utilizing an ANN model reflected the high consistency. We identified the behavior of the single components in ternary and higher multicomponent mixtures.
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