期刊
FLUID PHASE EQUILIBRIA
卷 317, 期 -, 页码 132-139出版社
ELSEVIER
DOI: 10.1016/j.fluid.2012.01.011
关键词
Particle swarm algorithm; Optimization method; Phase equilibrium; Peng-Robinson equation of state; Wong-Sandler mixing rules
资金
- University of La Serena [DIULS-PR11102]
- Department of Physics of the University of La Serena
- University of Tarapaca
- [MECESUP-2-0703]
Based on the conception of biologically inspired algorithms, the particle swarm optimization (PSO) is applied to model the phase equilibrium of complex mixtures containing supercritical carbon dioxide with ionic liquids or biomolecules. A commonly used equation of state with mixing rules is used as a thermodynamic model. Simulations are carried out in five complex mixtures containing ionic liquids, and for another six complex mixtures consisting of biomolecules. Then, PSO algorithm is used to minimize the difference between calculated and experimental values, and calculate the binary interaction parameters for all systems used. The results show that the PSO algorithm provides a good method to optimize the interaction parameters of the phase equilibrium of any mixtures with high accuracy. (C) 2012 Elsevier B.V. All rights reserved.
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