Optimal design of catalytic distillation columns: A case study on synthesis of TAEE

Gónzalez-Rugerio, C.A.; Fuhrmeister, Ron; Sudhoff, Daniel; Pilarczyk, J.; Górak, Andrzej

doi:10.1016/j.cherd.2013.08.030

Cited by 15 publications

(9 citation statements)

References 48 publications

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“…Optimal operating conditions can be implemented via increased automation at the process, plant, and company levels, often called computer-integrated manufacturing. Computers and associated software make the necessary computations feasible and cost-effective [22][23][24][25].…”

Section: Simulation and Optimizationmentioning

confidence: 99%

Reactive Distillation: Modeling, Simulation, and Optimization

Sakhre¹

2019

Distillation - Modelling, Simulation and Optimization

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Chemical process industries deal with production which further utilizes reaction followed by separation of the reaction mixtures. Reactive distillation is a new technique of combination of both reaction and separation in a single unit beneficial for equilibrium-limited reactions and also cost-effective. This makes it a highly complex process because many parameters involved in both reaction and separation are interactive in nature. In this chapter, modeling, simulation, and optimization of reactive distillation are presented. Methyl acetate production via reactive distillation is chosen as a case study. The results are compared for both experimental and simulation studies. The synthesis of methyl acetate was carried out in a packed RDC by catalytic esterification using acetic acid and methanol as reactants in a pilot-scale experimental setup. A strong acidic ion exchange catalyst, Amberlyst-15, was used to enhance the rate of heterogeneous esterification reaction. The result obtained was observed with change in various variables including the reflux ratio (RR), distillateto-feed (D/F) ratio, and bottom-to-feed (B/F) ratio with respect to product composition. The optimization and sensitivity analysis was carried out using Aspen Plus process simulation software.

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Section: Simulation and Optimizationmentioning

confidence: 99%

Reactive Distillation: Modeling, Simulation, and Optimization

Sakhre¹

2019

Distillation - Modelling, Simulation and Optimization

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“…Table summarizes the recent contributions regarding the modeling of RD columns. On one hand, a few studies have considered the hydraulics of sieve and valve tray columns in both homogeneous and heterogeneous distillation by means of using empirical correlations, which have been validated with experimental data and simulations. − On the other hand, other contributions have considered the nonidealities of the liquid-phase behavior, − while fewer studies have taken into account the nonidealities of the vapor phase. ,, Furthermore, the pressure drop across the column has not been accounted for in all of these previous studies; ,,− those studies that take this condition into account consider assumptions that may not entirely capture the actual system’s behavior, e.g., constant pressure drop from tray to tray. , …”

Section: Introductionmentioning

confidence: 99%

“…7−13 On the other hand, other contributions have considered the nonidealities of the liquid-phase behavior, 14−16 while fewer studies have taken into account the nonidealities of the vapor phase. 6,17,18 Furthermore, the pressure drop across the column has not been accounted for in all of these previous studies; 16,17,19−27 those studies that take this condition into account consider assumptions that may not entirely capture the actual system's behavior, e.g., constant pressure drop from tray to tray. 28,29 These phenomena, i.e., hydraulics, nonidealities of liquid and vapor phases, pressure drop, and the coexistence of separation and reaction, are quite nonlinear and highly complex, e.g., they may involve multiple steady states which may lead to multiple solutions.…”

Section: ■ Introductionmentioning

confidence: 99%

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Simultaneous Design and Control of Catalytic Distillation Columns Using Comprehensive Rigorous Dynamic Models

Bernal

Carrillo-Diaz

Gómez

et al. 2018

Ind. Eng. Chem. Res.

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This work addressed the rigorous modeling of catalytic distillation columns by simultaneously considering relevant phenomena such as pressure drop across the column, tray capacity constraints, nonideal behavior of both liquid and vapor, and the column’s hydrodynamics, yet to be considered in earlier modeling studies for catalytic distillation. The developed model is applied for the simultaneous optimal design and control of catalytic distillation units, taking into account economic and set-point tracking objective functions balanced through a proposed weighting parameter estimation methodology. Results for a column for the production of ethyl tert-butyl ether show the advantages of a more comprehensive model regarding design and control decisions in comparison with previous studies: design specifications were met during the entire time horizon without sacrificing economic profitability.

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“…Simple models can be used to identify attainable regions in the composition space, while rigorous models are the basis for detailed optimization under consideration of many decision variables such as the geometrical parameters, dosing points of reactants, extraction points of products, and heating/cooling mechanisms. Especially reaction units 14 and separation units 15 offer a large number of high‐impact optimization options.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Chemical Process Design Exemplified for a PEM Fuel Cell Process

Karst

Freund

Maestri

et al. 2014

Chemie Ingenieur Technik

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To maximize the utilization of limited energy and material resources, a new design methodology for chemical processes is proposed based on a multiscale optimization approach. The different levels of the process hierarchy are presented and design aspects are discussed. The methodology is further exemplified by considering a methane steam reforming process for operation of a proton exchange membrane fuel cell (PEMFC) in an automotive application. The method delivers an optimal technically feasible process based on an integrated steam reforming reactor, operated in autothermal mode.

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Optimal design of catalytic distillation columns: A case study on synthesis of TAEE

Cited by 15 publications

References 48 publications

Reactive Distillation: Modeling, Simulation, and Optimization

Reactive Distillation: Modeling, Simulation, and Optimization

Simultaneous Design and Control of Catalytic Distillation Columns Using Comprehensive Rigorous Dynamic Models

Multiscale Chemical Process Design Exemplified for a PEM Fuel Cell Process

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