Heuristic synthesis for multicomponent products with simple and sharp separators

Hu, Zhengyu; Chen, B.; He, Xiaoqiong

doi:10.1016/0098-1354(93)80030-q

Cited by 9 publications

(9 citation statements)

References 14 publications

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“…The former resorts to a mathematical formulation, e.g., mixed integer linear or nonlinear programming (see, e.g., Floudas, 1987;Wehe and Westerberg, 1987;Floudas and Anastasiadis, 1988). In contrast, the latter is based on rules of thumb from extensive industrial and/ or computational experience and insights into the chemistry and physics of the separation technologies (see, e.g., Muraki and Hayakawa, 1984;Lu and Motard, 1985;Muraki et al, 1986;Bampopouls et al, 1988;Chen and Fan, 1993;Hu et al, 1993;Liu and Xu, 1995).…”

Section: Methods For Performing Stream Splittingmentioning

confidence: 99%

“…Stream splitting has long been recognized as a technique which always leads to a reduction in the total mass load (TML) of a separation system; stream splitting or parallel processing apparently generates effective sequencing and thus, should always be preferred over sequential processing (see, e.g., Hu et al, 1993;Liu and Xu, 1995). Nevertheless, our preliminary analysis has indicated that stream splitting can increase the TML under certain circumstances which, in turn, may increase the cost of the system.…”

Section: Introductionmentioning

confidence: 94%

“…To develop heuristic methods for such synthesis, therefore, stream splitting was either completely ignored (see, e.g., Cheng and Liu, 1988;Liu et al, 1990) or only adopted to a limited extent (see, e.g., Muraki and Hayakawa, 1984;Muraki et al, 1986;Hu et al, 1993). Recently, Chen and Fan (1993) have established the necessary condition for stream splitting for the systems with one feed and containing simple and sharp separators only; this enables all the feasible configurations involving stream splitting to be explored.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On Stream Splitting in Separation System Sequencing

Feng

Fan

1996

Ind. Eng. Chem. Res.

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For a separation system producing multicomponent products, stream splitting besides stream bypassing has long been recognized as a technique that always reduces total mass load (TML) and should always be preferred over sequential processing. Nevertheless, our preliminary analysis has indicated that stream splitting can increase TML under certain circumstances which, in turn, may increase the cost of the system; furthermore, even when stream splitting reduces TML, it may increase the mass load of one or more difficult separations and increase the cost of the system. An exhaustive parametric study of a class of relatively simple problems is performed in this work to reveal the impact of stream splitting on the sequencing of separation systems. Some significant observations have been made, and some guidelines have been established for evolutionarily improving separation system sequencing involving stream splitting.

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Section: Methods For Performing Stream Splittingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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On Stream Splitting in Separation System Sequencing

Feng

Fan

1996

Ind. Eng. Chem. Res.

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“…Over the past few decades, many works have been done on the separation of a single multicomponent feed stream into pure substances using sharp separations . Some others focused the separation of several multicomponent feed streams into several multicomponent products, which is more general . Less work has been done for nonsharp separation synthesis, which is the main issue of the separation problem.…”

Section: Introductionmentioning

confidence: 99%

A new approach for the optimization of nonsharp distillation superstructures

Pirhoushyaran

Shafiei

2017

Asia-Pacific J Chem Eng

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In general, the optimization problem of the separation of a multicomponent feed stream into two or more multicomponent products with the use of nonsharp distillation columns is an MINLP with a nonlinear objective function.Due to the high number of variables and the high degree of nonlinearity, the presentation of a comprehensive and simple three-phase approach was considered to solve the Mixed Integer Nonlinear Programming (MINLP) using the combination of mathematical and stochastic methods. In the method, the variables are classified into two groups: A set of variables are optimized by genetic algorithm as a stochastic algorithm; doing so converts MINLP to Linear Programming (LP), and the remaining variables are managed by solving an LP problem for known values of the former set by a regular and quick mathematical method such as simplex search. One advantage of this study is that it extracts some essential relationships between the first set of variables by the mathematical operations on the nonlinear constraints of the main problem as these variables are not optimized altogether; instead, some of them are optimized and the rest are obtained with the assistance of those relationships. Thus, the optimization workload (in both parts of GA and LP problem) is very low and the best structure can be obtained in a very short time (less than 2 min).Also, the study applies the lowest reduction on the main superstructure than previous works and therefore, the generalization of the problem is further preserved. Three published examples are used to verify the proposed method.

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“…Liu and Xu [10] improved the separation product matrix transforming method to solve the non-sharp distillation process with multi-feed; then, the two-stage procedure for the synthesis of nonsharp distillation flow was brought forward [11]. Hu et al [12] gave an ordered heuristics method for the synthesis of nonsharp distillation sequences with simple, sharp distillation columns. Wehe and Westerberg [13] described an algorithmic procedure for the synthesis of sharp distillation sequences with bypass.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of nonsharp distillation sequences via genetic programming

Wang

2008

Korean J. Chem. Eng.

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This paper addresses the application of Genetic Programming (GP) to the synthesis of multicomponent product nonsharp distillation sequences. Combined with the domain knowledge of chemical engineering, some evolutionary factors are improved, and a set of special encoding method and solving strategy is proposed to deal with this kind of problem. The system structural variable is optimized by GP and the continuous variable is optimized by the simulated annealing algorithm simultaneously. Because GP has an automatic searching function, the optimal solution can be found including distillation, splitting, blending and bypassing operations automatically without any superstructures of nonsharp distillation sequences. Three illustrative examples are presented to demonstrate the effective computational strategies.

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Heuristic synthesis for multicomponent products with simple and sharp separators

Cited by 9 publications

References 14 publications

On Stream Splitting in Separation System Sequencing

On Stream Splitting in Separation System Sequencing

A new approach for the optimization of nonsharp distillation superstructures

Synthesis of nonsharp distillation sequences via genetic programming

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