Title: Estimation of heat capacities of amine-based solvents for CO₂ absorption process using ANFIS model

Authors: Ali Jalali; Marzieh Lotfi; Amir H. Mohammadi

Addresses: Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran; Department of Chemical Engineering, Amirkabir University of Technology, Mahshahr Campus, Mahshahr, Iran ' Department of Chemical Engineering, Jundi-Shapur University of Technology, Dezful, Iran ' School of Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa

Abstract: In this investigation, the adaptive network-based fuzzy inference system (ANFIS) has been successfully developed as a method of estimating the heat capacity (C_P) of certain amine-based solvents, using concentration of the solvent, system temperature, and an apparent molecular weight as input parameters. To develop a modelling system, 1,253 and 278 experimental data points were extracted from the published studies for binary and ternary systems respectively. Comparison of the model results with experimental data was done by investigating some statistical parameters like mean square deviation (MSD), R-squared (R²) and average relative deviation (ARD) for assessing the ability and veracity of the developed model. The developed model's ARD for binary and ternary systems are -0.937% and -0.036% respectively. Outcomes revealed that the developed hybrid-ANFIS model could be applied as a practical method in simulation of CO₂ removal processes by amine-based solvent for both binary and ternary systems. [Received: April 16, 2020; Accepted: April 22, 2021]

Keywords: CO₂ capture; ANFIS model; heat capacity; amine-based solvents; estimation.

DOI: 10.1504/IJOGCT.2022.122067

International Journal of Oil, Gas and Coal Technology, 2022 Vol.30 No.1, pp.63 - 80

Received: 16 Apr 2020
Accepted: 22 Apr 2021
Published online: 08 Apr 2022 *

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