Genetic algorithms approach for retrofitting heat exchanger network with standard heat exchangers

Bochenek, Roman; Jeżowski, Jacek

doi:10.1016/s1570-7946(06)80155-0

Cited by 28 publications

(15 citation statements)

References 11 publications

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“…Other columns (as linear combination of other columns) Utility paths Column P = Column 12 À Column 1 + Column 8 12-1-8 Column P = Column 12 À Column 2 + Column 8 12-2-8 Column P = Column 12 À Column 3 + Column 8 12-3-8 Column P = Column 12 À Column 4 + Column 9 12-4-9 Column P = Column 12 À Column 5 + Column 10 12-5-10 Column P = Column 12 À Column 6 + Column 11 12-6-11 Fig. 9.…”

Section: Resultsmentioning

confidence: 99%

“…This gave rise to the birth of stochastic algorithms, such as simulated annealing algorithms [8] and genetic algorithms [9,10] to solve the HEN retrofit MINLP problems. Asante and Zhu [11] developed a new method for HEN retrofit and introduced the concept of the network pinch that identifies the bottleneck of the existing network that limits energy recovery and the most effective change.…”

Section: Introductionmentioning

confidence: 99%

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Retrofit of heat exchanger networks without topology modifications and additional heat transfer area

Akpomiemie

Smith

2015

Applied Energy

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Retrofit of heat exchanger networks without topology modifications and additional heat transfer area

Akpomiemie

Smith

2015

Applied Energy

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“…Alternatively, other authors such as Bochenek and Ježowski (), Ježowski et al. (), and Rezaei and Shafiei () based their solutions on a node representation.…”

Section: Characteristics Of Metaheuristic Approachesmentioning

confidence: 99%

“…Alternatively, GA has also been used in a two‐level approach for the retrofit problem. For example, Bochenek and Ježowski () and Ježowski et al. () proposed the use of GA at both levels to solve the retrofit problem, taking into account the actual network and savings associated with reusing exchanger units.…”

Section: Metaheuristics Applied To Hen Designmentioning

confidence: 99%

“…An alternative is to minimize the total economic cost of the resultant network, which includes not only the cost of the utilities but also the capital cost of the heat exchangers. Some examples of this approach were presented by Bochenek and Ježowski (2006) and Athier et al (1997). In this case, the objective function can be formulated as:…”

Section: Objective Functionmentioning

confidence: 99%

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Review of metaheuristics applied to heat exchanger network design

Toimil

Gómez

2016

Int Trans Operational Res

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Heat exchanger networks (HENs) are a useful method of reducing the energy costs and environmental impact of industrial processes. Therefore, many papers focusing on solving HEN design problems efficiently have been published in the last years and several techniques have been proposed for their solution. The high complexity of the problem has led to an increment in the number of papers that use metaheuristics to solve it. The main reason is the capability of metaheuristics to handle complex problems in a feasible computational time. Additionally, this approach can easily take into account investment costs, and it offers more flexibility in the definition of the objective function and problem restrictions. In this paper, we review the most relevant papers that use metaheuristic techniques to resolve the HEN design problem. We also propose a method for grouping the different analyzed metaheuristics. It is based on a series of characteristics that allows the correct characterization of the different approaches.

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Heat transfer intensification for retrofitting heat exchanger networks with considering exchanger detailed performances

2018

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The challenging of this work is to present a thorough study of implementing heat transfer intensification in heat exchanger network (HEN) retrofitting, including all details of exchanger geometry, stream bypassing and splitting, temperature-variation of properties, LMTD and its correction, and pressure drops. This leads to very complex mixed integer nonlinear programming (MINLP) problems rarely reported before. By adopting the MILP-based iterative approach proposed in the earlier work (Pan et al., Chem Eng Sci. 2013;104:498-524.), temperature-variation of properties, LMTD and its correction are initialized to parameters at first, and the rest nonlinear terms are then linearized and expressed as first-order Taylor series expansions. Finally, two iteration loops are executed to find optimal solutions. A small-scale motivating problem and an industrial scale problem are presented to demonstrate the validity and efficiency of the proposed methods.

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Genetic algorithms approach for retrofitting heat exchanger network with standard heat exchangers

Cited by 28 publications

References 11 publications

Retrofit of heat exchanger networks without topology modifications and additional heat transfer area

Retrofit of heat exchanger networks without topology modifications and additional heat transfer area

Review of metaheuristics applied to heat exchanger network design

Heat transfer intensification for retrofitting heat exchanger networks with considering exchanger detailed performances

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