The reliable prediction of phase stability is a challenging computational
problem in chemical process simulation, optimization and design. The phase
stability problem can be formulated either as a minimization problem or
as an equivalent nonlinear equation solving problem. Conventional solution
methods are initialization dependent, and may fail by converging to trivial
or nonphysical solutions or to a point that is a local but no global minimum.
Thus there has been considerable recent interest in developing more reliable
techniques for stability analysis. In this paper we demonstrate, using
cubic equation of state models, a technique that can be solve the phase
stability problem with complete reliability. The technique which is based
on interval analysis, is initialization independent, and if properly implemented
provided a mathematical guarantee that the correct solution to the phase
stability problem has been found.
Comput. Chem. Eng., 20, S395-S400 (1996)