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- INTERNATIONAL CONFERENCE PROCEEDINGS (5)
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Articles 1 - 10 of 10
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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 …
Phase Stability And Equilibrium Calculations In Reactive Systems Using Differential Evolution And Tabu Search, Adrian Bonilla-Petriciolet, Gade Pandu Rangaiah, Juan Gabriel Segovia-Hernández, José Enrique Jaime-Leal
Phase Stability And Equilibrium Calculations In Reactive Systems Using Differential Evolution And Tabu Search, Adrian Bonilla-Petriciolet, Gade Pandu Rangaiah, Juan Gabriel Segovia-Hernández, José Enrique Jaime-Leal
Adrian Bonilla-Petriciolet
In this chapter, we present the application of Tabu search and Differential Evolution for performing phase equilibrium calculations in reactive systems, and compare their performance for benchmark problems in this area. In particular, we have analyzed the reliability and efficiency of these methods using a variable transformation approach for modeling the phase equilibrium behavior of reactive mixtures.
Harmony Search For Parameter Estimation In Vapor-Liquid Equilibrium Modeling, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernandez, Juan Jose Soto-Bernal
Harmony Search For Parameter Estimation In Vapor-Liquid Equilibrium Modeling, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernandez, Juan Jose Soto-Bernal
Adrian Bonilla-Petriciolet
This study introduces the application of Harmony Search (HS) method for solving the parameter estimation problem in vapor-liquid equilibrium data modeling. The performance of this novel stochastic optimization strategy has been tested using several sets of binary vapor-liquid equilibrium data with local composition models and the classical approach of least squares. Our results indicate that HS is a promising meta-heuristic for solving global optimization problems in the modeling of phase equilibrium and may offer a better performance than those obtained using current stochastic methods such as the Simulated Annealing or the Particle Swarm Optimization.
Control Properties Of Thermally Coupled Extractive Distillation Sequences, Jose De Jesus Ibarra-Sánchez, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Hector Hernandez-Escoto, Adrian Bonilla-Petriciolet
Control Properties Of Thermally Coupled Extractive Distillation Sequences, Jose De Jesus Ibarra-Sánchez, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Hector Hernandez-Escoto, Adrian Bonilla-Petriciolet
Adrian Bonilla-Petriciolet
The structure of the thermally coupled distillation systems offers some control challenges arising from the transfer of vapor (or liquid) streams between the columns. In particular, the presence of recycle streams for coupled schemes has influenced the notion that control problems might be expected during the operation of those systems with respect to the rather well-known behavior of conventional distillation sequences. In this work, we analyze the control properties of thermally coupled extractive distillation schemes. The control properties are analyzed with the application of the singular value decomposition technique and a closed-loop analysis. The results showed that the energy savings …
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.
Optimization Of An Extractive Dividing Wall Column Using Genetic Algorithms, Cristofer Bravo-Bravo, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Claudia Gutierrez-Antonio, Adrian Bonilla-Petriciolet, Abel Briones-Ramirez
Optimization Of An Extractive Dividing Wall Column Using Genetic Algorithms, Cristofer Bravo-Bravo, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Claudia Gutierrez-Antonio, Adrian Bonilla-Petriciolet, Abel Briones-Ramirez
Adrian Bonilla-Petriciolet
This work proposes an extractive dividing wall distillation column, optimal designs for which are obtained through a constrained stochastic multiobjective optimization technique. The stochastic procedure allows manipulate 15 variables simultaneously; six are continuous and the rest of them are integer. All resulting optimal designs are rigorous, since the optimization procedure is coupled to Aspen PlusTM. Several case studies are used to show the feasibility of performing extractive separations in dividing wall distillation columns. The numerical performance shows that this method appears to be robust and suitable in the design of intensified distillation systems (with dividing wall).
Prediction Of Steady State Input Multiplicities For The Reactive Flash Separation Using Reaction-Invariant Composition Variables, Jose Enrique Jaime-Leal, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernandez, Salvador Hernandez
Prediction Of Steady State Input Multiplicities For The Reactive Flash Separation Using Reaction-Invariant Composition Variables, Jose Enrique Jaime-Leal, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernandez, Salvador Hernandez
Adrian Bonilla-Petriciolet
In this study, we report a new approach for predicting and analyzing steady state input multiplicities in reactive flash separation processes. Necessary conditions are suggested to detect these multiple steady states using reaction-invariant composition variables. Our results suggest that the conditions proposed for identifying the presence of input multiplicities of non-reactive systems are useful for the analysis of reactive systems if transformed composition variables are employed. Performance of our approach is illustrated using MTBE production as case of study.
A Short Method To Calculate Reactive Residue Curve Maps, Marcelino Carrera-Rodriguez, Juan Gabriel Segovia-Hernandez, Adrian Bonilla-Petriciolet
A Short Method To Calculate Reactive Residue Curve Maps, Marcelino Carrera-Rodriguez, Juan Gabriel Segovia-Hernandez, Adrian Bonilla-Petriciolet
Adrian Bonilla-Petriciolet
Reactive residue curve maps (RRCM) are useful for the design of reactive distillation columns as a tool to establish feasible zones of reaction-separation. The calculation of RRCM usually involves great computational effort due to the nonlinearity of the model equations and its iterative nature for the determination of reactive phase equilibrium. In this study, a simplified method for the generation of RRCM is presented. This method is based on the application of reaction-invariant composition variables and assumes that the phase equilibrium constants and the relative volatilities are independent of the temperature. These assumptions allow avoiding iterative calculations for obtaining a …