Design and optimization, using genetic algorithms, of intensified distillation systems for a class of quaternary mixtures

Vázquez-Castillo, José Antonio; Venegas–Sánchez, Josué Addiel; Segovia‐Hernández, Juan Gabriel; Hernández‐Escoto, Héctor; Hernández, Salvador; Gutiérrez‐Antonio, Claudia; Briones-Ramírez, Abel

doi:10.1016/j.compchemeng.2009.04.011

Cited by 75 publications

(35 citation statements)

References 34 publications

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“…Genetic algorithms have been successfully applied to many complex chemical engineering problems [42][43][44][45] . The algorithm handles both integer decisions The implementation of the genetic algorithm involves four fundamental steps, namely, generation of a random population of individuals, evaluation of fitness of individuals, and selection of the best individuals and reproduction using genetic operators (cross-over and mutation) in order to create the population for the next generation 46 .…”

Section: Optimization Algorithmmentioning

confidence: 99%

Optimization-Based Design of Crude Oil Distillation Units Using Rigorous Simulation Models

Ibrahim

Jobson

Guillén‐Gosálbez³

2017

Ind. Eng. Chem. Res.

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The complex nature of crude oil distillation units, including their interactions with the associated heat recovery network and the large number of degrees of freedom, makes their optimization a very challenging task. We address here the design of a complex crude oil distillation unit by integrating rigorous tray-by-tray column simulation using commercial process simulation software with an optimization algorithm. While several approaches were proposed to tackle this problem, most of them relied on simplified models that are unable to deal with the whole complexity of the problem. The design problem is herein formulated to consider both structural variables (the number of trays in each column section) and operational variables (feed inlet temperature, pump-around duties and temperature drops, stripping steam flow rates and reflux ratio). A simulation-optimization approach for designing such a complex system is applied, which searches for the best design while accounting for heat recovery opportunities using pinch analysis. The approach is illustrated by its application to a specific distillation unit, in which numerical results demonstrate that the new approach is capable of identifying appealing design options while accounting for industrially relevant constraints.

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Section: Optimization Algorithmmentioning

confidence: 99%

Optimization-Based Design of Crude Oil Distillation Units Using Rigorous Simulation Models

Ibrahim

Jobson

Guillén‐Gosálbez³

2017

Ind. Eng. Chem. Res.

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“…The results demonstrated important energy savings and increasing of thermodynamic efficiency and reduction of capital costs compared with the conventional sequence, besides, the configuration was able to get better control properties than the conventional sequence. Vázquez-Castillo et al, [31] achieved the intensified distillation systems optimization to separate four components mixtures, applying a multi objective genetic algorithm with constraint handling, linked to Aspen Plus c to evaluate the fitness function. Throughout their study, they determined the dependency of the relative volatility on the energetic consumption, the second law of the thermodynamic, the total annual cost and the control properties on intensified systems.…”

Section: Evolutionary Design Of Continuos Distillation Columns: mentioning

confidence: 99%

Constrained evolutionary optimization of a distillation train in chemical engineering

Gutiérrez-Guerra

Murrieta-Dueñas

Cortez-González

et al. 2013

2013 IEEE Congress on Evolutionary Computation

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Abstract-The optimal design and synthesis of distillation systems remains one of the most challenging problems in process engineering. The goal of this paper is to introduce an evolutionary approach for the optimization of the total energy consumption of distillation systems with constraints. Moreover, the contribution of this paper is a novel constraint handling technique that manages design goals as equality constraints, such as the purity and the recovery of the final components. In the literature of these problems prevail the use of inequality constraints; although easy to apply they may lead the search to suboptimal solutions. The case study is a distillation column sequence (DCS) for the separation of four components; this problem is easy to describe yet complex to solve so our approach can show its advantages. The evolutionary algorithm Boltzmann Univariate Marginal Distribution Algorithm, (BUMDA), performs the optimization. AspenONE c software is used for the rigorous evaluation of the fitness function of the population. The results show the efficacy performance of the proposed approach reaching near optimal designs in less than 3000 function evaluations.

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“…In an earlier application of this approach, Zobel et al integrated CHEMCAD V together with a stochastic optimization solver based on an evolutionary algorithm for mixed-integer nonlinear programming (MINLP) problems [7], and they successfully applied it to a rectification problem from industrial practice. Vazquez-Castillo et al used a genetic algorithm to optimize a process incorporating dividing-wall columns simulated in Aspen Plus [8]. Otte et al connected a MATLAB implementation of the molecularinspired parallel tempering (MIPT) algorithm for global optimization to CHEMCAD via its object linking and embedding for process control (OPC) interface for the purpose of retrofitting a separation process [9].…”

Section: Introductionmentioning

confidence: 99%

Multi‐criteria Optimization of an Industrial World‐Scale Process

Kurnatowski

Bortz

Scherrer

et al. 2017

Chemie Ingenieur Technik

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Commercially available flow sheet simulators cannot perform optimization runs with more than one criterion. To overcome this problem, the flow sheet simulator CHEMCAD is combined with an external optimization solver, and the Excel VBA client is used to arrange inter-process communications. The resulting tool for multi-criteria optimization in chemical process engineering is applied to two separation problems. First, a dividing-wall column is used as a theoretical example to test different starting points and different scalarization techniques. Second, a significant decrease in energy demand is achieved for a real continuous world-scale facility.

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Design and optimization, using genetic algorithms, of intensified distillation systems for a class of quaternary mixtures

Cited by 75 publications

References 34 publications

Optimization-Based Design of Crude Oil Distillation Units Using Rigorous Simulation Models

Optimization-Based Design of Crude Oil Distillation Units Using Rigorous Simulation Models

Constrained evolutionary optimization of a distillation train in chemical engineering

Multi‐criteria Optimization of an Industrial World‐Scale Process

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