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

Hongwei Guan1, Lingjian Ye2,3,*, 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: email

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

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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APA Style
Guan, H., Ye, L., Wang, Y., Shen, F., He, Y. (2023). Dynamic modeling and sensitivity analysis for an mea-based co2 capture absorber. Intelligent Automation & Soft Computing, 36(3), 3535-3550. https://doi.org/10.32604/iasc.2023.036399
Vancouver Style
Guan H, Ye L, Wang Y, Shen F, He Y. Dynamic modeling and sensitivity analysis for an mea-based co2 capture absorber. Intell Automat Soft Comput . 2023;36(3):3535-3550 https://doi.org/10.32604/iasc.2023.036399
IEEE Style
H. Guan, L. Ye, Y. Wang, F. Shen, and Y. He "Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO2 Capture Absorber," Intell. Automat. Soft Comput. , vol. 36, no. 3, pp. 3535-3550. 2023. https://doi.org/10.32604/iasc.2023.036399



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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