Solving large-scale retrofit heat exchanger network synthesis problems with mathematical optimization methods

Björk, Kaj‐Mikael; Nordman, Roger

doi:10.1016/j.cep.2004.09.005

Cited by 68 publications

(21 citation statements)

References 13 publications

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“…This is a 15 streams problem, being 8 hot and 7 cold. It was originally proposed by Björk and Pettersson and investigated once more by Björk and Nordman . Data is presented in Table .…”

Section: Case Studiesmentioning

confidence: 99%

“…Data is presented in Table . Björk and his collaborators have tested a hybrid method of GAs as a decomposition approach, where chromosomes were coded with information on the quantity of subproblems and the streams present in each of them. Each smaller HEN was optimized with GAMS/DICOPT.…”

Section: Case Studiesmentioning

confidence: 99%

“…An interesting point in their method is that it actually hybridizes a stochastic to a deterministic approach, since SQP uses Taylor series to approximate functions. Björk and Nordman employed a GA to reduce large‐scale HEN to subproblems with fewer streams, which were optimized with GAMS/DICOPT. Ravagnani et al used a continuous GA to find an optimal heat exchanger minimal approach temperature (EMAT) prior to the HEN synthesis, as proposed by Linnhoff and Ahmad, and a combinatorial GA to find optimal matches.…”

Section: Introductionmentioning

confidence: 99%

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Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization

et al. 2016

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Heat Exchanger Network (HEN) synthesis is an important field of study in process engineering. However, obtaining optimal HEN design is a complex task. When mathematically formulated, it may require sophisticated methods to achieve good solutions. The complexity increases even more for large-scale HEN. In this work, a hybrid meta-heuristic method is presented. A rather simple Simulated Annealing approach is used for the combinatorial level, while a strategy named rocket fireworks optimization is developed and applied to the continuous domain. An advantage over other approaches is that the algorithm was written in C11, which is free and faster when compared to many other languages. The developed method was able to provide the lowest costs solutions reported so far to six cases well studied in the literature. An important feature of the approach here proposed is that, differently from other approaches, it does not split HEN into smaller problems during the optimization.

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“…This is a 15 streams problem, being 8 hot and 7 cold. It was originally proposed by Björk and Pettersson and investigated once more by Björk and Nordman . Data is presented in Table .…”

Section: Case Studiesmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization

et al. 2016

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“…They formulated the retrofit problem as a nonlinear model, and estimated additional exchanger area and pressure drops based on economic optimization. Other optimization algorithms have been developed for HEN retrofit, such as genetic algorithms (GA), simulated annealing (SA), and constraint logic programming (CLP) . Although these algorithms are efficient in some specified retrofit situations, they still suffer from the combinatorial complexity of large HEN problems.…”

Section: Introductionmentioning

confidence: 99%

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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“…Notwithstanding, these equations further restrict the search space of the optimal solution compared to the original model by Onishi et al [28]. According to Björk and Nordman [40], the addition of the extra constraints Eq. (4) and Eq.…”

Section: Mathematical Formulation For the Hens Retrofitmentioning

confidence: 99%

Retrofit of heat exchanger networks with pressure recovery of process streams at sub-ambient conditions

Onishi

Ravagnani

Caballero

2015

Energy Conversion and Management

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Solving large-scale retrofit heat exchanger network synthesis problems with mathematical optimization methods

Cited by 68 publications

References 13 publications

Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization

Large‐scale heat exchanger networks synthesis using simulated annealing and the novel rocket fireworks optimization

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

Retrofit of heat exchanger networks with pressure recovery of process streams at sub-ambient conditions

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