Journal
JOURNAL OF MOLECULAR LIQUIDS
Volume 196, Issue -, Pages 167-177Publisher
ELSEVIER
DOI: 10.1016/j.molliq.2014.03.031
Keywords
Vapor-liquid equilibrium; Peng-Robinson equation; NRTL model; UNIQUAC model; Binary interaction parameters; Particle swarm optimization; Ant colony optimization
Funding
- Direction of Research of the University of La Serena (DIULS)
- Department of Physics of the University of La Serena (DFULS)
Ask authors/readers for more resources
A hybrid algorithm based on particle swarm optimization and ant colony optimization was used to describe the vapor-liquid equilibrium of complex mixtures. The proposed PSO + ACO algorithm is tested on several benchmark functions from the usual literature. Firstly, nine binary vapor-liquid phase systems containing supercritical fluids and ionic liquids were evaluated for optimizing the equation of state method. Next, twenty binary vapor-liquid phase systems were described using two activity coefficient models optimized by the hybrid algorithm. The results of vapor-liquid equilibrium modeling were compared with the Levenberg-Marquardt algorithm, and show that the application of PSO + ACO algorithm on thermodynamic models such as equation of state methods and activity coefficient models, is crucial, and that the hybrid PSO + ACO algorithm is a good tool to optimize the interaction parameters to describe the vapor-liquid equilibrium of several systems. (C) 2014 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available