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Full-Text Articles in Engineering
Evaluation Of Stochastic Global Optimization Methods For Modeling Vapor-Liquid Equilibrium Data, Adrian Bonilla-Petriciolet, Gade Pandu Rangaiah, Juan Gabriel Segovia-Hernández
Evaluation Of Stochastic Global Optimization Methods For Modeling Vapor-Liquid Equilibrium Data, Adrian Bonilla-Petriciolet, Gade Pandu Rangaiah, Juan Gabriel Segovia-Hernández
Adrian Bonilla-Petriciolet
Parameter estimation for vapor–liquid equilibrium (VLE) data modeling plays an important role in design, optimization and control of separation units. This optimization problem is very challenging due to the high non-linearity of thermodynamic models. Recently, several stochastic optimization methods such as Differential Evolution with Tabu List (DETL) and Particle Swarm Optimization (PSO) have evolved as alternative and reliable strategies for solving global optimization problems including parameter estimation in thermodynamic models. However, these methods have not been applied and compared with respect to other stochastic strategies such as Simulated Annealing (SA), Differential Evolution (DE) and Genetic Algorithm (GA) in the context …
Extractive Dividing Wall Column: Design And Optimization, Cristofer Bravo-Bravo, Juan Gabriel Segovia-Hernandez, Claudia Gutiérrez-Antonio, Ana Luisa Duran, Adrian Bonilla-Petriciolet, Abel Briones-Ramírez
Extractive Dividing Wall Column: Design And Optimization, Cristofer Bravo-Bravo, Juan Gabriel Segovia-Hernandez, Claudia Gutiérrez-Antonio, Ana Luisa Duran, Adrian Bonilla-Petriciolet, Abel Briones-Ramírez
Adrian Bonilla-Petriciolet
This paper proposes a novel extractive dividing wall distillation column, which has been designed using a constrained stochastic multiobjective optimization technique. The approach is based on the use of genetic algorithms to determine the design that minimizes energy consumption and total annualized cost. Several case studies are used to show the feasibility of performing extractive separations in dividing wall distillation columns. The simulation results show the effect of the main variables on the complex extractive distillation process.
A Comparative Study Of Particle Swarm Optimization And Its Variants For Phase Stability And Equilibrium Calculations In Multicomponent Reactive And Non-Reactive Systems, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernández
A Comparative Study Of Particle Swarm Optimization And Its Variants For Phase Stability And Equilibrium Calculations In Multicomponent Reactive And Non-Reactive Systems, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernández
Adrian Bonilla-Petriciolet
Particle swarm optimization is a novel evolutionary stochastic global optimization method that has gained popularity in the chemical engineering community. This optimization strategy has been successfully used for several applications including thermodynamic calculations. To the best of our knowledge, the performance of PSO in phase stability and equilibrium calculations for both multicomponent reactive and non-reactive mixtures has not yet been reported. This study introduces the application of particle swarm optimization and several of its variants for solving phase stability and equilibrium problems in multicomponent systems with or without chemical equilibrium. The reliability and efficiency of a number of particle swarm …
Padé Functions For Modeling Adsorption Data, Didilia I. Mendoza-Castillo, Adrian Bonilla-Petriciolet, Juan Jauregui-Rincon
Padé Functions For Modeling Adsorption Data, Didilia I. Mendoza-Castillo, Adrian Bonilla-Petriciolet, Juan Jauregui-Rincon
Adrian Bonilla-Petriciolet
In this study, we report the application of Padé approximants for fitting of adsorption kinetic and equilibrium data. Specifically, we have compared the results of data fitting using these rational functions and those obtained with conventional adsorption models. The adsorption of cadmium ions from water by bone char was used as case of study. Our results show that Padé approximants is an alternative and flexible approach to improve the results of adsorption data modeling.