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Hydrogen Sulfide Solubility in Ionic Liquids (ILs): An Extensive Database and a New ELM Model Mainly Established by Imidazolium-Based ILs
Zhao, Yongsheng1,2; Gao, Hongshuai1; Zhang, Xiangping1; Huang, Ying1,2; Bao, Di1,2; Zhang, Suojiang1
2016-12-01
Source PublicationJOURNAL OF CHEMICAL AND ENGINEERING DATA
ISSN0021-9568
Volume61Issue:12Pages:3970-3978
Abstract

A database and forecasting models of the solubility of hydrogen sulfide (H2S) in ionic liquids (ILs) are important for the industrial processes of gas sweetening. However, the specialized H2S solubility database and accurate predictive models are scarce at present. Therefore, this study first established a comprehensive database on the solubility of H2S in ILs, which includes 1334 pieces of data covering the period from 2007 to 2016. On the basis of the database, a new model is proposed using an extreme learning machine (ELM) intelligence algorithm and the number of fragments, which are easy to obtain and thus eliminate the need to use experimental data as input parameters. A total of 1282 pieces of data for 27 ILs (including 23 imidazolium-based and four ammonium-based ILs) have been used to build and test the model. The coefficient of determination (R-2) and root-mean-square error (RMSE) of the ELM model for the test set are 0.990 and 0.0301, respectively. The results show that the established ELM model is applicable for predicting the solubility of H2S in ILs, which is important for the design, simulation, and analysis of new gas sweetening processes.

SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1021/acs.jced.6b00449
Indexed BySCI
Language英语
WOS KeywordARTIFICIAL NEURAL-NETWORK ; EXTREME LEARNING-MACHINE ; COSMO-RS ; H2S SOLUBILITY ; CO2 ; PREDICTION ; CAPTURE ; BIS(TRIFLUOROMETHYL)SULFONYLIMIDE ; HEXAFLUOROPHOSPHATE ; ABSORPTION
WOS Research AreaThermodynamics ; Chemistry ; Engineering
WOS SubjectThermodynamics ; Chemistry, Multidisciplinary ; Engineering, Chemical
Funding OrganizationNational Basic Research Program of China(2013CB733506) ; National Natural Science Fund for Distinguished Young Scholars(21425625) ; Beijing Municipal Natural Science Foundation(2141003) ; National Natural Science Foundation of China(21376242 ; 21436010 ; 51574215)
WOS IDWOS:000389623400003
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/21849
Collection多相复杂系统国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing Key Lab Ion Liquids Clean Proc, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Chem & Chem Engn, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Yongsheng,Gao, Hongshuai,Zhang, Xiangping,et al. Hydrogen Sulfide Solubility in Ionic Liquids (ILs): An Extensive Database and a New ELM Model Mainly Established by Imidazolium-Based ILs[J]. JOURNAL OF CHEMICAL AND ENGINEERING DATA,2016,61(12):3970-3978.
APA Zhao, Yongsheng,Gao, Hongshuai,Zhang, Xiangping,Huang, Ying,Bao, Di,&Zhang, Suojiang.(2016).Hydrogen Sulfide Solubility in Ionic Liquids (ILs): An Extensive Database and a New ELM Model Mainly Established by Imidazolium-Based ILs.JOURNAL OF CHEMICAL AND ENGINEERING DATA,61(12),3970-3978.
MLA Zhao, Yongsheng,et al."Hydrogen Sulfide Solubility in Ionic Liquids (ILs): An Extensive Database and a New ELM Model Mainly Established by Imidazolium-Based ILs".JOURNAL OF CHEMICAL AND ENGINEERING DATA 61.12(2016):3970-3978.
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