Thermodynamic and Artificial Intelligence Approaches of H2S Solubility in Some Imidazolium-Based Ionic Liquids

被引：2
|
作者：
Esfandyari, Morteza [1 ]
Salooki, Mahdi Koolivand [2 ]
Shokouhi, Mohammad [2 ]
Ahari, Jafar Sadeghzadeh [2 ]
Fatourehchi, Niloufar [2 ]
机构：
[1] Univ Bojnord, Dept Chem Engn, Bojnord, Iran
[2] Res Inst Petr Ind RIPI, POB 14665-137, Tehran, Iran
来源：
JOURNAL OF SOLUTION CHEMISTRY | 2023年 / 52卷 / 04期
关键词：
Hydrogen sulfide; Ionic liquid; Thermodynamic modeling; GRK; GMDH; CARBON-DIOXIDE; HYDROGEN-SULFIDE; CO2; TEMPERATURE; HEXAFLUOROPHOSPHATE; DIFFUSION; MIXTURE;
D O I：
10.1007/s10953-022-01239-y
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
The solubility of hydrogen sulfide (H2S) in ionic liquids was modeled at various temperatures and partial gas pressures using two approaches. The first approach as a thermodynamic model, is a generic Redlich-Kwong (GRK) cubic EoS and the other is a Group method of data handling (GMDH) as an artificial intelligence approach. Results of modeling using both approaches were obtained by estimation of the percent relative deviation as well as the regression coefficients (R-2) and root mean square error. The GMDH model in this paper showed it is a reliable development to be an alternative method for the thermodynamic approach in modeling of H2S solubility data in ionic liquids in the extended ranges of pressure and temperatures.
引用
收藏
页码：429 / 446
页数：18
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