4.4 Article

Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO2 Capture Absorber

Journal

INTELLIGENT AUTOMATION AND SOFT COMPUTING
Volume 36, Issue 3, Pages 3535-3550

Publisher

TECH SCIENCE PRESS
DOI: 10.32604/iasc.2023.036399

Keywords

CO2 capture; dynamic modeling; sensitivity analysis; model validation

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A dynamic model for the absorber in the MEA-based CO2 capture process is developed and validated using steady-state experimental data. Sensitivity analysis and a parameter estimation method are proposed to improve the model accuracy. Dynamic simulations investigate the effects of lean MEA solution feed rate and flue inlet conditions, providing new insights.
The absorber is the key unit in the post-combustion monoethanolamine (MEA)-based carbon dioxide (CO2) capture process. A rate-based dynamic model for the absorber is developed and validated using steady-state experimental data reported in open literature. Sensitivity analysis is performed with respect to important model parameters associated with the reaction, mass transport and phy-sical property relationships. Then, a singular value decomposition (SVD)-based subspace parameter estimation method is proposed to improve the model accu-racy. Finally, dynamic simulations are carried out to investigate the effects of the feed rate of lean MEA solution and the flue inlet conditions. Simulation results indicate that the established dynamic model can reasonably reflect the physical behavior of the absorber. Some new insights are gained from the simulation results.

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