Open Access

ARTICLE

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

Hongwei Guan¹, Lingjian Ye^2,3,*, Yurun Wang², Feifan Shen⁴, Yuchen He³

1 Ningbo University of Finance and Economics, Ningbo, 315175, China
2 Huzhou University, Huzhou, 313000, China
3 Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, China Jiliang University, Hangzhou, 310018, China
4 Ningbotech University, Ningbo, 315100, China

* Corresponding Author: Lingjian Ye. Email:

Intelligent Automation & Soft Computing 2023, 36(3), 3535-3550. https://doi.org/10.32604/iasc.2023.036399

Received 29 September 2022; Accepted 06 December 2022; Issue published 15 March 2023

Abstract

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 physical property relationships. Then, a singular value decomposition (SVD)-based subspace parameter estimation method is proposed to improve the model accuracy. 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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Keywords

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