Estimating solubility of supercritical H<sub>2</sub>S in ionic liquids through a hybrid LSSVM chemical structure model

Alireza Baghban; Jafar Sasanipour; Sajjad Habibzadeh; Zhi'en Zhang

doi:10.1016/j.cjche.2018.08.026

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Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model

Chemical Engineering Thermodynamics | Updated：2026-01-06

- Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model
- Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model
- 中国化学工程学报（英文版） 2019年27卷第3期页码：620-627
- Affiliations：
  
  1. 2 Gas Engineering Department, Petroleum University of Technology, Ahwaz,Iran
  2. 3 Chemical Engineering Department, Amirkabir University of Technology, Tehran,Iran
  3. 4 Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of China, Chongqing University,Chongqing,China,400044
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2018.08.026
  中图分类号：
- 纸质出版：2019
- Accepted：
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Alireza Baghban, Jafar Sasanipour, Sajjad Habibzadeh, 等. Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model[J]. 中国化学工程学报（英文版）, 2019,27(3):620-627. DOI: 10.1016/j.cjche.2018.08.026.

S in ionic liquids through a hybrid LSSVM chemical structure model[J]. 中国化学工程学报, 2019, 27(3): 620-627.
Alireza Baghban, Jafar Sasanipour, Sajjad Habibzadeh, 等. Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model[J]. 中国化学工程学报（英文版）, 2019,27(3):620-627. DOI: 10.1016/j.cjche.2018.08.026. DOI：

S in ionic liquids through a hybrid LSSVM chemical structure model[J]. 中国化学工程学报, 2019, 27(3): 620-627. DOI： 10.1016/j.cjche.2018.08.026.

摘要

Abstract

Development of a predictive tool for H

S solubility estimation can be very helpful in gas sweetening industry. Experimental databases on H

S solubility were rarely available

so as reliable predictive models. Thus

in this study the H

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

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

) are 0.0122 and 0.9941

respectively. Moreover

comparison of our model with other existing models showed its reliability for H

S solubility in ILs. This can be very useful for engineers dealing with gas sweetening process in different applications of analysis

simulation

and designation.

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DOI：10.1016/j.cjche.2018.08.026

摘要

Abstract

关键词

Keywords

references

Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model

Estimating solubility of supercritical H₂S in ionic liquids through a hybrid LSSVM chemical structure model