Experimental analysis and modeling of CO₂ solubility in AMP (2-amino-2-methyl-1-propanol) at low CO₂ partial pressure using the models of Deshmukh¨CMather and the artificial neural network

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• 作者：Hassan Pahlavanzadeh  ; ;   ; ^{Pahlavzh@modares.ac.ir} ; Shiva Nourani ; Mohammad Saber
• 关键词：Solubility ; Carbon dioxide ; AMP ; Deshmukh&ndash ; Mather model ; Artificial neural network
• 刊名：Journal of Chemical Thermodynamics
• 出版年：2011
• 出版时间：December 2011
• 年：2011
• 卷：43
• 期：12
• 页码：1775-1783
• 全文大小：727 K

文摘

The equilibrium solubility data for CO₂ in aqueous solution of AMP have been determined at temperatures from 293 K to 323 K, partial pressures from 17.47 kPa to 69.87 kPa and concentrations of AMP from 1 M to 4 M. The experimental results show that the solubility of CO₂ in AMP increases with partial pressure and decreases with temperature and concentration of solvent. Two different mathematical models have been used to analyze the solubility of CO₂ in AMP including those of Deshmukh¨CMather and the artificial neural network. The modeling results indicate that the neural network modeling provides a better prediction of experimental CO₂ loadings than the Deshmukh¨CMather model when compared with experimental results in this work. Therefore, this new modeling method can be useful in predicting the results of CO₂ absorption and its accuracy is comparable with those of thermodynamic models which are used widely.