A rate-based process modeling study of CO2 capture with aqueous MEA solution

Chau Chyun Chen, Davy Zuo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Available pilot plant data from University of Texas (U.T.)-Austin for CO2 capture with aqueous monoethanolamine (MEA) solution have been studied and simulated with RateSep. Thermodynamic and kinetic models, transport property models, and U.T.-Austin pilot plant data set, model predictions against the pilot plant data were presented. The superior predictions of the rate-based model over the traditional equilibrium-stage models were demonstrated. The impacts on simulation results of various rate-based modeling constructs, e.g., film discretization, flow mixing, interfacial area correlations, were studied. The sensitivities of the process performance with respect to liquid/gas ratio, CO2 concentration in gas stream, CO2 loading, and MEA concentration in lean MEA solution, operating pressure, packing height, and packing type were described. The RateSep model with proper parameters provides excellent predictive capability for the process and it should be very helpful for industrial process and plant design. This is an abstract of a paper presented at the AIChE Annual Meeting (Salt Lake City, UT 11/4-9/2007).

Original languageEnglish
Title of host publication2007 AIChE Annual Meeting
StatePublished - 2007
Event2007 AIChE Annual Meeting - Salt Lake City, UT, United States
Duration: Nov 4 2007Nov 9 2007

Publication series

Name2007 AIChE Annual Meeting


Conference2007 AIChE Annual Meeting
Country/TerritoryUnited States
CitySalt Lake City, UT


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