Hydrogen Sulfide Solubility in Ionic Liquids (ILs): An Extensive Database and a New ELM Model Mainly Established by Imidazolium-Based ILs

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
(R2) 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.