An Explicit Solution for Thermal Calculation and Synthesis of Superstructure Heat Exchanger Networks

Chen, Dezhen; Yang, Sheng; Luo, Xianglong; Wen, Q. Y.; Hu-gen, MA

doi:10.1016/s1004-9541(07)60074-3

Cited by 25 publications

(21 citation statements)

References 14 publications

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“…Some authors, such as Chen et al. () and Luo et al. (), set a target threshold instead of a fixed threshold, allowing a range of temperatures to be correct.…”

Section: Problem Statementmentioning

confidence: 99%

“…Roetzel and Luo () proposed a general method to compute the resultant temperatures in a HEN. However, this method is not appropriate for large‐scale HENs because of its memory requirements (Chen et al., ). Chen et al.…”

Section: Characteristics Of Metaheuristic Approachesmentioning

confidence: 99%

“…Chen et al. () proposed a modification of this method, which can be applied when the stagewise superstructure (see Section ) is used. It reduces the memory requirements and can manage large‐scale HENs.…”

Section: Characteristics Of Metaheuristic Approachesmentioning

confidence: 99%

“…This algorithm has been used by many authors, such as Chen et al. (), who applied it with a new method for calculating output temperatures that reduces the computational resources and is more appropriate for applying this technique to large‐scale networks. Fieg et al.…”

Section: Metaheuristics Applied To Hen Designmentioning

confidence: 99%

“…() improved the method proposed by Chen et al. () with additional strategies to enhance the structural search ability of the algorithm. Brandt et al.…”

Section: Metaheuristics Applied To Hen Designmentioning

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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“…Some authors, such as Chen et al. () and Luo et al. (), set a target threshold instead of a fixed threshold, allowing a range of temperatures to be correct.…”

Section: Problem Statementmentioning

confidence: 99%

Section: Characteristics Of Metaheuristic Approachesmentioning

confidence: 99%

Section: Characteristics Of Metaheuristic Approachesmentioning

confidence: 99%

Section: Metaheuristics Applied To Hen Designmentioning

confidence: 99%

“…() improved the method proposed by Chen et al. () with additional strategies to enhance the structural search ability of the algorithm. Brandt et al.…”

Section: Metaheuristics Applied To Hen Designmentioning

confidence: 99%

See 3 more Smart Citations