Journal
GREENHOUSE GASES-SCIENCE AND TECHNOLOGY
Volume 9, Issue 1, Pages 67-78Publisher
WILEY PERIODICALS, INC
DOI: 10.1002/ghg.1833
Keywords
cryogenic CO2 separation; CO2-CH4 phase equilibria; CO2 freezing prediction; solid CO2 formation; artificial neural network
Funding
- Department of Chemical Engineering, University of Jeddah, Saudi Arabia
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The study of the frosting behavior of CO2 in the binary CH4-CO2 is very important for energy minimization and for the smooth operation of the cryogenic purification process for natural gas due to its extensive cooling requirements. The present study focuses on the solid region of the phase envelope and the development of a predictive model using the artificial neural network (ANN) technique. It validates the model using available experimental data. The model points out the outlying data points. The ANN prediction method developed in this work can be successfully used for the vapor-solid (V-S) and vapor-liquid-solid (V-L-S) equilibrium of a CH4-CO2 binary mixture for CO2 concentration of 1 to 54.2% and a temperature range of -50 degrees C to -200 degrees C. The use of the model for the liquid-solid (L-S) region in its current form is not recommended because the model was not validated due to lack of experimental data in this region. (c) 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.
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