Area method for prediction of fluid-phase equilibria

This paper reports on a new method developed to predict and calculate phase equilibria from equations of state for binary and ternary fluid mixtures to high pressures, including the critical and retrograde regions. The method minimizes the Gibbs energy by integrating, rather than differentiating, th...

Full description

Saved in:
Bibliographic Details
Published in:Industrial & engineering chemistry research 1992-03, Vol.31 (3), p.942-949
Main Authors: Eubank, Philip T, Elhassan, Ahmed E, Barrufet, Maria A, Whiting, Wallace B
Format: Article
Language:English
Subjects:
420400 - Engineering- Heat Transfer & Fluid Flow
BINARY MIXTURES
BUBBLES
CALCULATION METHODS
Chemistry
CRITICAL FLOW
DISPERSIONS
ENGINEERING
EQUATIONS
EQUATIONS OF STATE
EQUILIBRIUM
Exact sciences and technology
FLUID FLOW
FUELS
General and physical chemistry
HIGH PRESSURE
LIQUID FUELS
MIXTURES
Phase equilibria
PHASE STUDIES
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper reports on a new method developed to predict and calculate phase equilibria from equations of state for binary and ternary fluid mixtures to high pressures, including the critical and retrograde regions. The method minimizes the Gibbs energy by integrating, rather than differentiating, the Gibbs energy curve. The area method provides a sufficient condition for global Gibbs energy minimization, rather than only the necessary condition provided by the tangent-plane methods. The area method performs well along phase boundaries and has approached mixture critical points to within 10 mK from both the bubble and dew point curves. Cricondentherm temperatures have been calculated to within 10 nK and pressures within 0.1 mbar. The area method has been tested with several binary systems, including a three-phase system. An example further shows how the method may be extended to a ternary system. The results are in good agreement with examples from the literature, which used previous Gibbs minimization techniques.
ISSN:0888-5885
1520-5045
DOI:10.1021/ie00003a041