Abstract
The present study compares the ability of three semi-predictive approaches, namely, the Global Phase Diagram-based semi-predictive approach (GPDA), the Predictive Soave-Redlich-Kwong (PSRK) and the Linear Combination of the Vidal and Mixing rules (LCVM), to describe the phase equilibrium data in the homologous series methane-n-alkanes. The results obtained for the series under consideration demonstrate, similarly as shown before for the homologue series carbon dioxide-n-alkanes, that GPDA predicts the data more accurately than the GE-based models correlate them. In particular, GPDA predicts the critical points very accurately and yields a qualitatively correct picture of the global phase behavior in the series. In contrast, both PSRK and LCVM overestimate the critical pressures and generate false liquid-liquid split in the system methane-n-pentane. Although, the GE-based models yield more accurate results for dew-point data at high temperatures, GPDA predicts these data better at the moderated and low temperatures. In addition, it is clearly better in predicting the bubble-point data. PSRK is more accurate than LCVM in description of the homologues lighter than methane-n-decane, however it fails to predict the data of the heavier ones.
| Original language | English |
|---|---|
| Pages (from-to) | 4363-4376 |
| Number of pages | 14 |
| Journal | Chemical Engineering Science |
| Volume | 58 |
| Issue number | 19 |
| DOIs | |
| State | Published - 1 Jan 2003 |
| Externally published | Yes |
Keywords
- Alkanes
- Equation of state
- Methane
- Parameter identification
- Phase equilibria
- Supercritical fluid
ASJC Scopus subject areas
- General Chemistry
- General Chemical Engineering
- Industrial and Manufacturing Engineering