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Supporting plots and tables on vapour-liquid equilibrium prediction for synthesis gas conversion using artificial neural networks.

ABSTRACT: This article contains data on vapor-liquid equilibrium modeling of 1533 gas-liquid solubilities divided over sixty binary systems viz. carbon monoxide, carbon dioxide, hydrogen, water, ethane, propane, pentane, hexane, methanol, ethanol, 1-propanol, 1-butanol, 1-pentanol, and 1-hexanol in the solvents phenanthrene, 1-hexadecanol, octacosane, hexadecane and tetraethylene glycol at pressures up to 5.5?MPa and temperatures from 293 to 553?K using literature data. The solvents are considered to be potentially significant in the conversion of synthesis gas through gas-slurry processes. Artificial neural networks limited to one hidden layer and up to five neurons in the hidden layer were used to predict the binary plots.

SUBMITTER: Eze PC

PROVIDER: S-EPMC6234271 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Supporting plots and tables on vapour-liquid equilibrium prediction for synthesis gas conversion using artificial neural networks.

Eze Precious Chukwuweike PC Masuku Cornelius Mduduzi CM

Data in brief 20181029

This article contains data on vapor-liquid equilibrium modeling of 1533 gas-liquid solubilities divided over sixty binary systems viz. carbon monoxide, carbon dioxide, hydrogen, water, ethane, propane, pentane, hexane, methanol, ethanol, 1-propanol, 1-butanol, 1-pentanol, and 1-hexanol in the solvents phenanthrene, 1-hexadecanol, octacosane, hexadecane and tetraethylene glycol at pressures up to 5.5 MPa and temperatures from 293 to 553 K using literature data. The solvents are considered to be p ...[more]

PMID: 30456268

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