Application of stochastic algorithms for parameter estimation in the liquid–liquid phase equilibrium modeling |
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Authors: | Jarbas C. Ferrari Gabriel Nagatani Fernanda C. Corazza J. Vladimir Oliveira Marcos L. Corazza |
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Affiliation: | aDepartment of Food Engineering, URI - Campus de Erechim, Av. Sete de Setembro, 1621, Erechim, RS 99700-000, Brazil |
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Abstract: | In this work the Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithms were employed to modeling liquid–liquid phase equilibrium data. For this purpose, some strategies for stochastic algorithms were investigated from common test functions and used in LLE parameter estimation procedure. The strategy used for the flash calculation was based on the isoactivity criteria associated with phase stability test and interpolation function for the initial estimate to improve reliability of phase equilibria calculations. It is shown that both algorithms SA and PSO were capable of estimating the parameters in models describing liquid–liquid phase behavior of binary and multicomponent systems with a good representation of the experimental data. |
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Keywords: | Simulated Annealing Particle Swarm Optimization Liquid– liquid equilibrium Parameter estimation Phase stability |
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