Control and optimization of the divided wall column

Serra, Maria; Espuña, Antonio; Puigjaner, Luís

doi:10.1016/s0255-2701(99)00052-5

Cited by 83 publications

(50 citation statements)

References 7 publications

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“…Even nowadays some plants still work with column sequences that are suboptimal compared with some thermally couple arrangements. However, extended studies about operation and controllability showed that TCD with or without DWCs can be satisfactorily operated [1,[51][52][53][54][55][56][57][58][59].…”

Section: Introductionmentioning

confidence: 99%

Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach

Caballero

Grossmann

2014

Computers & Chemical Engineering

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This paper introduces a novel MILP approach for the design of distillation columns sequences of zeotropic mixtures explicitly including from conventional to fully thermally coupled sequences and divided wall columns with a single wall.The model is based on the use of two superstructure levels. In the upper level a superstructure that includes all the basic sequences of separation tasks and all the possibilities of heat exchange (condensers and reboilers). In the lower level an extended tree that explicitly includes all the alternatives for a given separation task (different thermal states and compositions of the feed to a given separation task). In that way, it is possible to a priori optimize all the possible separation tasks involved in the superstructure. A set of logical relationships relates the feasible sequences (upper level) with the optimized tasks in the extended tree resulting in a MILP to select the optimal sequence. Performance of the model in terms of robustness and computational time is illustrated with several examples.

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Section: Introductionmentioning

confidence: 99%

Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach

Caballero

Grossmann

2014

Computers & Chemical Engineering

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“…Serra et al 23 reported that the controllability of the DWC may be improved when working at a point out of the optimal steady-state condition. For the closedloop control of DWC, different alternative schemes have been proposed, 24−32 mainly varying the coupled pairs of manipulated/ controlled variables.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dynamic Performance for Multiple Dividing Wall Distillation Columns

Gómez‐Castro

Rodríguez-Ángeles

Segovia‐Hernández

et al. 2013

Ind. Eng. Chem. Res.

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Dividing wall columns are intensified process equipment with the capacity of reducing both capital and operational costs for a given vapor−liquid separation, when compared with conventional distillation sequences. For some kinds of mixtures, distillation systems with two dividing walls have been theoretically proved to present lower energy requirements and lower total annual costs than systems with a single dividing wall. Nevertheless, the use of an additional wall may lead to operational issues on the column, because of the more complex arrangement of the walls on the trays of the columns, where additional split of the vapor and liquid streams is expected. Thus, in this work the open-loop properties (minimum singular value and condition number) for the double dividing wall column are studied and compared with those of the dividing wall column for a wide range of frequencies, in order to determinate if the use of additional dividing walls may lead to potential control problems. It has been found that both systems show similar dynamic performance, with advantages for the double dividing wall column for mixtures with low composition of the middle-boiling component.

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“…The design and control of these columns are complicated, but they were made possible by the design concept of "thermodynamically equivalent configuration" [148][149][150][151], and the improvement in control strategies [152][153][154][155][156]. For zeotropic mixtures, Agrawal [157] characterized a subset of the possible configurations named basic configurations.…”

Section: Process Synthesismentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

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Control and optimization of the divided wall column

Cited by 83 publications

References 7 publications

Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach

Optimal synthesis of thermally coupled distillation sequences using a novel MILP approach

Analysis of Dynamic Performance for Multiple Dividing Wall Distillation Columns

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

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