Abstract
The physical properties, like density and viscosity, of alkanolamine + H2O (water) + CO2 (carbon dioxide) mixtures receive a significant amount of attention as they are essential in equipment sizing, mathematical modelling and simulations of amine-based post-combustion CO2 capture processes. Non-linear models based on artificial neural networks (ANNs) were trained to correlate measured densities and viscosities of monoethanol amine (MEA) + H2O, MEA + H2O + CO2, and 2-amino-2-methyl-1-propanol (AMP) + MEA + H2O + CO2 mixtures and results were compared with conventional correlations found in literature. For CO2-loaded aqueous amine mixtures, results from the ANN models are in good agreement with measured properties with less than 1% average absolute relative deviation (AARD). The ANN-based methodology shows much better agreement (R2 > 0.99) between calculated and measured values than conventional correlations.
Highlights
Carbon dioxide (CO2) removal from flue gas using chemical absorption has been studied intensively to find a suitable alkanolamine to make the process feasible
Non-linear models based on artificial neural networks (ANNs) were trained to correlate measured densities and viscosities of monoethanol amine (MEA) + H2O, MEA + H2O + CO2, and 2-amino-2-methyl-1-propanol (AMP) + MEA + H2O + CO2 mixtures and results were compared with conventional correlations found in literature
The approach of constructing an artificial neural network (ANN) to correlate physical properties has been done for various liquid mixtures including different amine blends that can be used in post-combustion CO2 capture
Summary
Carbon dioxide (CO2) removal from flue gas using chemical absorption has been studied intensively to find a suitable alkanolamine to make the process feasible. The aqueous blend of AMP with MEA can provide high absorption capacity and reaction rate under low energy demand in favor of process feasibility Physical properties such as density and viscosity of CO2 loaded aqueous amine mixtures are used in process equipment design, modelling and simulation of the amine-based post-combustion CO2 capture processes. This model has been applied in several studies to correlate excess volume of the aqueous amine or amine mixtures to correlate density of the solutions [7,9,10,11] It requires a higher degree polynomial with a large number of parameters to achieve a good fit for the measured data. Literature can be found for the application of Redlich-Kister equation to correlate excess viscosity of binary amine mixtures [14], while Hartono et al [11] used a lower degree polynomial to achieve an acceptable accuracy of predictions. Zhang et al [15] discussed the density and viscosity of CO2-loaded aqueous 2-dimethylaminoethanol (DMAE) and 2-diethylaminoethanol (DEAE) solutions
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