Structuring of reactive distillation columns for non-ideal mixtures using MINLP-techniques

Sand, Guido; Barkmann, Sabine; Engell, Sebastian; Schembecker, Gerhard

doi:10.1016/s1570-7946(04)80148-2

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…In 2003, Poth et al 5 proposed an extension of their previous works: the MINLP problem is solved using the general algebraic modeling systems (GAMS) in combination with external functions. Sand et al 6 presented the solution of the integer master problem (IP) by means of three approaches: branch and bound (BB), complete enumeration of the subspace of binary variables, and an interval reduction algorithm. The nonlinear programming (NLP) subproblem is solved by the generalized reduced gradient method, and the column is designed to produce methyl tert-butyl ether (MTBE).…”

Section: Inroductionmentioning

confidence: 99%

A Mixed Integer Nonlinear Programming Formulation for Optimal Design of a Catalytic Distillation Column Based on a Generic Nonequilibrium Model

Gómez

Reneaume

Roques

et al. 2006

Ind. Eng. Chem. Res.

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The objective of this contribution is to propose a mixed integer nonlinear programming (MINLP) formulation for optimal design of a catalytic distillation column based on a generic nonequilibrium (NEQ) model. The use of this NEQ model presents two main advantages: (i) the computation of tray efficiencies is entirely avoided and (ii) the geometrical parameters of the column's hardware can be optimized. The minimization of the total annualized cost is submitted to three sets of constraints: the model equations, the product specification, and the tray hydraulic equations. The solution strategy for the optimization uses a combination of simulated annealing and sequential quadratic programming. Catalytic distillation of ethyl tert-butyl ether (ETBE) is considered as an illustrative example. The results of the optimization are discussed. Pre- and postoptimal sensitivity analysis is also performed.

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Section: Inroductionmentioning

confidence: 99%

A Mixed Integer Nonlinear Programming Formulation for Optimal Design of a Catalytic Distillation Column Based on a Generic Nonequilibrium Model

Gómez

Reneaume

Roques

et al. 2006

Ind. Eng. Chem. Res.

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show abstract

“…For all of theses reasons, the use of these equipments has grown in recent years. The MINLP optimization of a CD column has been already studied by different authors with steady-state models in which the vapour and liquid are assumed to be in equilibrium (Ciric and Gu, 1994 ;Frey and Stichlmair, 2000 ;Cardoso et al, 2000 ;Poth et al, 2001 ;Jackson and Grossmann, 2001 ;Sand et al, 2004). In these works, the authors use the MESH equations.…”

Section: Introductionmentioning

confidence: 99%

A “MINLP” formulation for optimal design of a catalytic distillation column based on a generic non equilibrium model

Gómez¹,

Reneaume²,

Roques³

et al. 2005

Computer Aided Chemical Engineering

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Design and optimization of reactive distillation: a review

Shu

et al. 2022

Front. Chem. Sci. Eng.

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Structuring of reactive distillation columns for non-ideal mixtures using MINLP-techniques

Cited by 6 publications

References 5 publications

A Mixed Integer Nonlinear Programming Formulation for Optimal Design of a Catalytic Distillation Column Based on a Generic Nonequilibrium Model

A Mixed Integer Nonlinear Programming Formulation for Optimal Design of a Catalytic Distillation Column Based on a Generic Nonequilibrium Model

A “MINLP” formulation for optimal design of a catalytic distillation column based on a generic non equilibrium model

Design and optimization of reactive distillation: a review

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