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.

Effect of Co-Feeding Inorganic and Organic Molecules in the Fe and Co Catalyzed Fischer–Tropsch Synthesis: A Review

“…An account of all large quantities of produced material should be thoroughly conducted to ensure the integration of various scenarios happening at different levels [63]. This is crucial not only for the FT reaction but also for downstream processes [64][65][66]. Okoye-Chine et al [67] recently proposed that phase of H 2 O impacts FT reaction in their report about the effect of water co-feeding on a cobalt-based FT catalyst.…”

Kinetic Study of Product Distribution Using Various Data-Driven and Statistical Models for Fischer–Tropsch Synthesis

“…With the advancement of computation techniques, computational power has become more economical and practical, and this looms new opportunities of combining different modeling techniques to analyze the complicated kinetic system such as FT synthesis. − Until now, there have been very rare efforts in reporting the establishment of a robust paradigm that combines the advanced calculation systems for kinetic modeling of product distribution during FT synthesis.…”