Knowledge based models for the analysis of complex separation processes

Shah, Piyush B.; Kokossis, Antonis

doi:10.1016/s0098-1354(01)00661-5

Cited by 18 publications

(7 citation statements)

References 8 publications

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“…Following this approach is remarkable the work by Shah and Kokossis [78,79]. In order to deal with thermal couples they introduce the concept of "supertask".…”

Section: Milp Model In Thermally Coupled Distillation Sequencesmentioning

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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“…Following this approach is remarkable the work by Shah and Kokossis [78,79]. In order to deal with thermal couples they introduce the concept of "supertask".…”

Section: Milp Model In Thermally Coupled Distillation Sequencesmentioning

confidence: 99%

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

Caballero

Grossmann

2014

Computers & Chemical Engineering

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“…Knowledge-driven modelling approaches [122] For separation method/solvent/resources combinations that are complicated to model due to a lack of information, a data driven approach can be taken in developing a rigorous model that can be used in this task…”

Section: Detailed Economicsmentioning

confidence: 99%

Perspectives on Resource Recovery from Bio-Based Production Processes: From Concept to Implementation

Udugama

Mansouri

Mitić³

et al. 2017

Processes

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Abstract:Recovering valuable compounds from waste streams of bio-based production processes is in line with the circular economy paradigm, and is achievable by implementing "simple-to-use" and well-established process separation technologies. Such solutions are acceptable from industrial, economic and environmental points of view, implying relatively easy future implementation on pilot-and full-scale levels in the bio-based industry. Reviewing such technologies is therefore the focus here. Considerations about technology readiness level (TRL) and Net Present Value (NPV) are included in the review, since TRL and NPV contribute significantly to the techno-economic evaluation of future and promising process solutions. Based on the present review, a qualitative guideline for resource recovery from bio-based production processes is proposed. Finally, future approaches and perspectives toward identification and implementation of suitable resource recovery units for bio-based production processes are discussed.

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“…The first test problem is widely used by other researchers (Malone et al, 1985;Gadkari and Govind, 1988;Glinos and Malone, 1989;Porter and Momoh, 1991;Floquet et al, 1994;Jobson, 1997;Rong et al, 2001;Shah and Kokossis, 2001). Table 3.…”

Section: Example 1: a Typical Five-component Mixturementioning

confidence: 99%

“…This well-known problem, often, is defined as: "Given a feed stream of known conditions (i.e., composition, flow-rate, temperature and pressure), what is the best process that separates the desired products from the feed at minimum Total Annual Cost." In order to solve this problem, various approaches and methods have been presented (Stephanopoulos and Westerberg, 1976;Tedder and Rudd, 1978;Porter and Momoh, 1991;Floquet et al, 1994;Garrard and Fraga, 1998;Shah and Kokossis, 2001). Nishida et al (1981) have classified these methods into the following three main categories: Heuristic methods have provided a very simple basis for an easy and quick analysis, in that these methods have the advantage of speed and minimal data requirements.…”

Section: Introductionmentioning

confidence: 99%

Automatic design of conventional distillation column sequence by genetic algorithm

Boozarjomehry¹,

Laleh²,

Svrcek³

2009

Can J Chem Eng

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Synthesis of the optimum conventional (with non-sharp separations) distillation column sequence (DCS) is a challenging problem, in the field of chemical process design and optimization, due to its huge search space and combinatorial nature. In this paper, a novel procedure for the synthesis of optimum Conventional Distillation Column Sequence is proposed. The proposed method is based on evolutionary algorithms. The main criterion used to screen alternative DCS's is the Total Annual Cost (TAC). In order to estimate the TAC of each DCS alternative all columns that exist in the DCS are designed using short-cut methods. The performance of the proposed method and other alternatives are compared based on the results obtained for four standard benchmark problems used by researchers working in this area. Based on the results of the comparison, the proposed method outperforms the other methods and is also more flexible than other existing methods.La synthèse de la séquence de colonne de distillation (SCD) traditionnelle optimale (caractérisée par des séparations non tranchantes) représente un problème difficileà régler, dans le domaine de la conception et de l'optimisation de procédés chimiques, en raison de son immense espace de recherche et de sa nature combinatoire. Ce document propose une procédure nouvelle en vue de la synthèse de la séquence de colonne de distillation traditionnelle optimale. La méthode proposée est fondée sur des algorithmesévolutionnistes. Le critère principal utilisé pour présélectionner les autres possibilités de SCD est le coût total annuel (CTA). Pour estimer le CTA de chaque option de SCD, toutes les colonnes qui existent dans la SCD sont conçues en utilisant des méthodes abrégées. On compare ensuite le rendement de la méthode proposée et des autres possibilités en s'appuyant sur les résultats obtenus dans le cadre de quatre problèmes d'évaluation standard utilisés par les chercheurs oeuvrant dans ce domaine. En s'appuyant sur les résultats de la comparaison, la méthode proposée donne un meilleur rendement que les autres méthodes et estégalement plus souple que les autres méthodes qui existent.

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Knowledge based models for the analysis of complex separation processes

Cited by 18 publications

References 8 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

Perspectives on Resource Recovery from Bio-Based Production Processes: From Concept to Implementation

Automatic design of conventional distillation column sequence by genetic algorithm

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