Multiobjective optimization of reactive distillation with thermal coupling using non-dominated sorting genetic algorithm-II

Behroozsarand, Alireza; Shafiei, Sirous

doi:10.1016/j.jngse.2011.03.002

Cited by 22 publications

(6 citation statements)

References 20 publications

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“…Several chemical engineering problems can involve several objectives that are usually in conflict and should be optimized simultaneously [1,190]. e optimal design of conventional and intensified separation sequences to maximize the purity of target compound(s) and to minimize the energy consumption [191,192], the integration of mass and energy in different processes [193][194][195], and the simultaneous minimization of economic (i.e., capital and operating costs) and environmental objectives [196] are examples of multi-objective optimization problems in the context of chemical engineering. e resolution of these problems can be performed using multi-objective HS algorithms.…”

Section: Multi-objective Hs Algorithmsmentioning

confidence: 99%

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Fonseca-Pérez

Del-Mazo-Alvarado

Luna

et al. 2022

International Journal of Chemical Engineering

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Harmony search algorithm and its variants have been used in several applications in medicine, telecommunications, computer science, and engineering. This article reviews the global and multi-objective optimization for chemical engineering using harmony search. The main features of the HS method and several of its popular variants and hybrid versions including their relevant algorithm characteristics are described and discussed. A variety of global and multi-objective optimization problems from chemical engineering and their resolution using HS-based methods are also included. These problems involve thermodynamic calculations (phase stability analysis, phase equilibrium calculations, parameter estimation, and azeotrope calculation), heat exchanger design, distillation simulation, life cycle analysis, and water distribution systems, among others. Remarks on future developments of HS and its related algorithms for global and multi-objective optimization in chemical engineering are also provided in this review. HS is a reliable and promising stochastic optimizer to resolve challenging global and multi-objective optimization problems for process systems engineering.

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Section: Multi-objective Hs Algorithmsmentioning

confidence: 99%

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Fonseca-Pérez

Del-Mazo-Alvarado

Luna

et al. 2022

International Journal of Chemical Engineering

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“…The concept can also be seen in the design of reactive distillation for ethyl acetate process. 20 (4) The weir height is set as 0.1016 m. As a result, the liquid holdup of each tray is about 0.09 m 3 .…”

Section: Kinetics and Thermodynamicsmentioning

confidence: 99%

“…Distillation is most widely used in chemical and petrochemical industries for separation despite its high energy consumption. It contributes about 40% to the total energy of these industries . Thermal coupling between two distillation columns is one of energy-integrated methods, which can save energy.…”

Section: Introductionmentioning

confidence: 99%

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Design and Control of Reactive Distillation Process for the Production of Methyl Valerate

Chen

Chung

Lee

2016

Ind. Eng. Chem. Res.

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Methyl valerate (VAME), also known as methyl pentanoate, is a methyl ester of pentanoic acid (valeric acid). VAME is usually used as a fragrance in the production of beauty care, soap, and laundry detergents. High purity VAME can also be used as a kind of plasticizer. This study presents design details of the process for the manufacture of VAME. A reactive distillation column (RDC) is used in the production process to overcome equilibrium limitation of the esterification reaction. There is no bottom outlet of this RDC. Both products, VAME and water, are withdrawn from the distillate of RDC and then can be separated by two strippers and a decanter. A thermally coupled design is then developed to reduce the remixing effect in the rectifying section of the RDC. The simulation results show that 30% energy saving can be achieved by using the proposed thermally coupled configuration, but only 17% of total annual costs can be saved due to the use of a compressor. Control strategies of both conventional and thermally coupled configurations in neat design are investigated. The simulation results show that a thermally coupled configuration can reject disturbances faster with smaller steady state deviations from the specifications of the VAME product.

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“…However, the deterministic algorithms always cause the convergence problem and cannot realize the global optimum in most cases . In recent years, stochastic algorithms are utilized for the global optimization of complex chemical processes. − Moreover, many stochastic algorithms have been successfully applied to the optimization of RD including genetic algorithm, simulated annealing algorithm, particle swarm optimization (PSO) algorithm, etc. , It proved that stochastic algorithm is a better alternative for the MINLP problems.…”

Section: Introductionmentioning

confidence: 99%

MINLP Optimization of Side-Reactor Column Configuration Based upon Improved Bat Algorithm

Kong

Zhang

et al. 2020

Ind. Eng. Chem. Res.

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The side-reactor column (SRC) configuration is an effective integrated reaction separation technique, but its complex nature such as many nonlinear equations and integer type variables raises difficulty for process optimization. Here, a mixed-integer nonlinear programming (MINLP) approach coupled with simulation software (Aspen Plus) was proposed to design an SRC configuration. The MINLP model was developed to optimize the structural/operating variables simultaneously. The use of Aspen Plus provided high convergence and accuracy of rigorous process model simulation. We improved stochastic algorithm bat algorithm to solve the MINLP model. The model and algorithm were both implemented in the programming software MATLAB. The capability of this optimization approach was manifested by two case studies of methyl acetate and methyl laurate production systems.

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Multiobjective optimization of reactive distillation with thermal coupling using non-dominated sorting genetic algorithm-II

Cited by 22 publications

References 20 publications

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Design and Control of Reactive Distillation Process for the Production of Methyl Valerate

MINLP Optimization of Side-Reactor Column Configuration Based upon Improved Bat Algorithm

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