Development of a predictive tool for H_2S solubility estimation can be very helpful in gas sweetening industry. Experimental databases on H_2 S solubility were rarely available, so as reliable predictive models. Thus,...Development of a predictive tool for H_2S solubility estimation can be very helpful in gas sweetening industry. Experimental databases on H_2 S solubility were rarely available, so as reliable predictive models. Thus, in this study the H_2 S solubility database was established, and then a Least-Squares Support Vector Machine(LSSVM) approach based on the established database is proposed. Group contribution method was also applied to eliminate the model's dependence on experimental data. Accordingly, our proposed LSSVM model can predict H_2 S solubility as a function of temperature, pressure, and 15 different chemical structures of Ionic liquids(ILs). Root Mean Square Error(RMSE) and coefficient of determination(R^2) are 0.0122 and 0.9941, respectively. Moreover, comparison of our model with other existing models showed its reliability for H_2 S solubility in ILs. This can be very useful for engineers dealing with gas sweetening process in different applications of analysis, simulation, and designation.展开更多
文摘Development of a predictive tool for H_2S solubility estimation can be very helpful in gas sweetening industry. Experimental databases on H_2 S solubility were rarely available, so as reliable predictive models. Thus, in this study the H_2 S solubility database was established, and then a Least-Squares Support Vector Machine(LSSVM) approach based on the established database is proposed. Group contribution method was also applied to eliminate the model's dependence on experimental data. Accordingly, our proposed LSSVM model can predict H_2 S solubility as a function of temperature, pressure, and 15 different chemical structures of Ionic liquids(ILs). Root Mean Square Error(RMSE) and coefficient of determination(R^2) are 0.0122 and 0.9941, respectively. Moreover, comparison of our model with other existing models showed its reliability for H_2 S solubility in ILs. This can be very useful for engineers dealing with gas sweetening process in different applications of analysis, simulation, and designation.
