Solvent screening and liquid-liquid measurement for extraction of phenols from aromatic hydrocarbon mixtures
| Autor: | Xianglan Zhang, Xingkun Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Activity coefficient
UNIQUAC Chemistry Extraction (chemistry) Analytical chemistry 02 engineering and technology 010402 general chemistry 01 natural sciences Atomic and Molecular Physics and Optics 0104 chemical sciences Separation process chemistry.chemical_compound 020401 chemical engineering Non-random two-liquid model medicine General Materials Science 0204 chemical engineering Physical and Theoretical Chemistry Coal tar Ethylene glycol UNIFAC medicine.drug |
| Zdroj: | The Journal of Chemical Thermodynamics. 129:12-21 |
| ISSN: | 0021-9614 |
| Popis: | The separation of phenolic compounds from low temperature coal tar has great significance for further application of the coal tar. In this paper, the separation of special phenolic compounds from model coal tar (phenols + toluene) was studied. The universal quasi chemical functional group activity coefficient (UNIFAC) and conductor-like screening model COSMO-SAC (segment activity coefficient) was carried out to screen suitable solvent. Ethylene glycol was selected as the potential solvent to extract the phenols from aromatic hydrocarbon, evaluated by area of two-phase region and the criterion of solvent power ( S P i ∞ ), selectivity ( S ∞ ) and performance index (PI). Liquid-liquid equilibria of the ethylene glycol + phenols + toluene ternary systems were measured in the temperature range (303.15–323.15) K under 101.3 kPa, and the results showed that ethylene glycol has a high extraction efficiency with distribution coefficient (between 2 and 12) and selectivity (between 7 and 255). Moreover, the NRTL and UNIQUAC models were successfully applied to correlate the experimental LLE data with RMSD less than 1.85%, indicating that both models can accurately describe LLE behaviour of this system. Thus, the corresponding binary interaction parameters would be helpful for separation process designing or optimizing. |
| Databáze: | OpenAIRE |
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