Rigorous modelingof CO2 equilibrium absorption in ionic liquids

被引:112
作者
Baghban, Alireza [1 ]
Mohammadi, Amir H. [2 ,3 ,4 ]
Taleghani, Mohammad Soodbakhsh [5 ]
机构
[1] Islamic Azad Univ, Young Researcher & Elite Club, Marvdasht Branch, Marvdasht, Iran
[2] IRGCP, Paris, France
[3] Univ KwaZulu Natal, Sch Engn, Discipline Chem Engn, Howard Coll Campus,King George V Ave, ZA-4041 Durban, South Africa
[4] Univ Laval, Fac Sci & Genie, Dept Genie Mines Met & Mat, Quebec City, PQ G1V 0A6, Canada
[5] Islamic Azad Univ, Cent Tehran Branch, Dept Petr Engn, Tehran, Iran
关键词
CO2; capture; absorption; Ionic liquids (IL); Solubility Model Prediction; PRESSURE PHASE-BEHAVIOR; CARBON DIOXIDE SOLUBILITIES; ARTIFICIAL NEURAL-NETWORKS; AQUEOUS-SOLUTIONS; BINARY-MIXTURES; TERNARY MIXTURES; POINT PRESSURE; GAS SOLUBILITY; 283; K; TEMPERATURE;
D O I
10.1016/j.ijggc.2016.12.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Over the past few decades, solution of high amount of carbon dioxide in ionic liquids (ILs) has been the object of extensive studies. It is believed that ILs can be applied to capture CO2 and avoiding greenhouse gas emissions into the atmosphere. In this communication, the predictive capability of the Least Square Support Vector Machine (LSSVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), Multi-Layer Perceptron Artificial Neural Network (MLP-ANN), and Radial Basis Function Artificial Neural Network (RBF-ANN) has been evaluated for estimating carbon dioxide solubility in 67 different ILs as a function of the operational temperature (T), pressure (P) accompanied with the properties of ILs including the critical temperature (T-c), critical pressure (P-c) and, acentric factor (0). In this regard, an extensive data bank containing 5368 data gathered from the literature was employed. Results obtained from the LSSVM approach indicate its satisfactory predictions than other strategies. Moreover, an outlier analysis was utilized to detect suspected data points. Obtained values of R-squared (R-2), Mean Squared Error (MSE) were 0.9942 & 0.00035, 0.9135 & 0.004883, 0.9135 & 0.004883, and 0.9135 & 0.004883 for the LSSVM, ANFIS, MLP-ANN, and RBF-ANN respectively. Accordingly, the LSSVM strategy was introduced as a great tool for estimating CO2 solubility in such ionic liquids, which is easy to apply and can avoid time-consuming experimental measurement and expensive experimental apparatuses as well as complicated interpretation procedures. In addition, it can help chemists and chemical engineers to have a low parameter model with satisfactory results for the estimation of CO2 solubility in ILs. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:19 / 41
页数:23
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