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Rate-Based Modeling for Packed Absorption Column of the MEA–CO2–Water System at High-Pressure and High-CO2Loading Conditions

Rate-Based Modeling for Packed Absorption Column of the MEA–CO2–Water System at High-Pressure and High-CO2Loading Conditions

Authors :
Shahid, Muhammad Zubair
Maulud, Abdulhalim Shah
Bustam, M Azmi
Suleman, Humbul
Halim, Hairul Nazirah Abdul
Shariff, Azmi M
Source :
Industrial & Engineering Chemistry Research; July 2019, Vol. 58 Issue: 27 p12235-12246, 12p
Publication Year :
2019

Abstract

Pandya proposed the first steady-state rate-based model for the chemical absorption process in a packed column using the aqueous CO2–MEA system. Later several modeling studies are also reported based on Pandya’s approach but limited to low pressure (≈1 bar) and low CO2loadings (<0.5 mol/mol). Recently, the interest in processing CO2-rich natural gas at high-pressure conditions has been increased. Therefore, in this study, the Pandya model is modified to simulate the packed absorption column using an aqueous CO2–MEA system for the high-pressure and high-CO2loading range. The sequential chemical reactions, along with the respective mass transfer resistances that occur at low (<0.5 mol/mol) and high (>0.5 mol/mol) CO2loadings, are added. This is achieved by theoretically segmenting the packed column into two sections. This strategy simplifies the computation of subsequent fast and slow reaction regimes that occur over a high-CO2loading range. The gas–liquid nonideal behavior is described using the Peng–Robinson (EOS) and Kent Eisenberg models. The developed model is effectively validated using the experimental data at low- (≈1.03 bar) and high- (50 bar) pressure conditions over a wide CO2loading range (≈0–1.0 mol/mol). In a parity plot between measured and simulated CO2concentration, R2is found to be 0.99 and 0.97, respectively, for the low- (≈1.03 bar) and high- (50 bar) pressure systems. This indicates that the proposed model can accurately predict the critical design parameters at the high-pressure and high-CO2loading conditions, with minimum computational intricacy.

Details

Language :
English
ISSN :
08885885 and 15205045
Volume :
58
Issue :
27
Database :
Supplemental Index
Journal :
Industrial & Engineering Chemistry Research
Publication Type :
Periodical
Accession number :
ejs50265050
Full Text :
https://doi.org/10.1021/acs.iecr.9b01482