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Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed absorber
Ist Teil von
Journal of cleaner production, 2018-12, Vol.204, p.1124-1142
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
Rotating packed bed (RPB) absorber using monoethanolamine (MEA) as the solvent to capture CO2 is modelled at steady state condition in this study according to the first principles in gPROMS®. The effect of eight different kinetic reaction models and five enhancement factors is examined based on the newly developed model. Selection of kinetic model has a significant effect on the carbon capture level (CCL) but the effect of enhancement factor relation is not important. The steady state process model is validated against the experimental data and showed good agreement. The average absolute relative deviation for 12 case-runs is 3.5%. In addition, process analysis is performed to evaluate the effect of four factors namely rotor speed, MEA concentration in lean MEA solution, lean MEA solution temperature and lean MEA solution flow rate on CCL. Finally, the orthogonal array design (OAD) method is applied to analyse the simultaneous effect of the above-mentioned factors in the CCL and motor power of RPB absorber by considering 25 scenarios. The result of using OAD revealed that rotor speed has the most important effect on CCL, and after that lean MEA solution flow rate has the second importance. In addition, the OAD method is used to find the proper combination of four factors that resulted in about 90% CCL with low motor power.
•Rate-based steady state model for RPB absorber using concentrated MEA solution is presented.•Correct thermodynamic, kinetic, transport, and hydraulic models are used.•Kinetic models and different enhancement factors are compared with each other.•Process analysis is performed by evaluating the effect of different parameters on CO2 capture level.•OAD method is applied to examine the simultaneous effect of different parameters.