TY - JOUR
T1 - Simultaneous prediction of the critical and sub-critical phase behavior in mixtures using equations of state III. Methane-n-alkanes
AU - Polishuk, Ilya
AU - Wisniak, Jaime
AU - Segura, Hugo
N1 - Funding Information:
This work was financed by the Israel Science Foundation, grant number 340/00, and by FONDECYT, Santiago, Chile (Project 2010100).
PY - 2003/10
Y1 - 2003/10
N2 - 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.
AB - 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.
KW - Alkanes
KW - Equation of state
KW - Methane
KW - Parameter identification
KW - Phase equilibria
KW - Supercritical fluid
UR - http://www.scopus.com/inward/record.url?scp=0141958735&partnerID=8YFLogxK
U2 - 10.1016/S0009-2509(03)00318-X
DO - 10.1016/S0009-2509(03)00318-X
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AN - SCOPUS:0141958735
SN - 0009-2509
VL - 58
SP - 4363
EP - 4376
JO - Chemical Engineering Science
JF - Chemical Engineering Science
IS - 19
ER -