Phase Equilibrium Modeling in Non-Reactive Systems Using Harmony Search

Phase Stability Analysis with Equations of State—A Fresh Look from a Different Perspective

“…A number of authors studied this eight component mixture at T = 353 K and p = 385 bar, which is located in the retrograde region and near a L = V critical point for the feed composition selected. ,,,,,,, …”

“…This ten-component system of light hydrocarbons was studied by Henderson et al, , and Bonilla-Petriciolet et al, , Bonilla-Petriciolet et al , following Henderson et al, examined the stability of the system at T = 425.14 K and at four different pressures between (18. 65 and 19.150) bar, while later Henderson et al examined the same composition of the volatile oil at T = 425.14 K and for ten different pressures in the range of (50 to130) bar.…”

“…A number of authors studied this eight component mixture at T = 353 K and p = 385 bar, which is located in the retrograde region and near a L = V critical point for the feed composition selected. 9,14,19,25,26,42,45,50 Sun and Seider 42 report two minima of the TPDF, respectively. The authors, 42 regrettably, do not give the pure component properties and BIPs for the system studied but demonstrate that the phase distributions obtained agree with the results presented by Nagarajan et al 50 We employ the PR EoS with the pure component parameters of Table S1 (Supporting Information) and the BIPs used by Saber and Shaw.…”

“…Methyltetradecane. This nine component system was studied by Rangaiah 5 and Bonilla-Petriciolet et al 25 We apply the SRK EoS with the pure component parameters of Table S1 (see the Supporting Information) and the values of the BIPs are all set to zero. Table S3 (see the Supporting Information) displays the results for the feed composition studied by Rangaiah 5 at T = 314 K and p = 20.1 bar.…”

“…Local methods include reformulations of Newton’s method. Global methods are either stochastic (based on the application of exploration and exploitation strategies, which have been developed from principles of natural phenomena and artificial intelligence) or deterministic optimization methods and guarantee, at least theoretically, that the optimum is obtained irrespective of the starting point. , The number of papers and reviews devoted to the application of different optimization methods to the solution of the phase stability problem, in the past decade only, is considerable. − The references cited here are given rather as an illustration of the amount of work performed and of the wide variety of optimization methods used by the different research groups than with the ambition to be exhaustive. Interested readers are prompted to acquaint with the recent excellent and extensive review of Zhang et al who examine the state-of-the art of global optimization methods.…”