Interval based MINLP superstructure synthesis of heat exchanger networks for multi-period operations

Isafiade, Adeniyi J.; Fraser, Duncan

doi:10.1016/j.cherd.2010.02.019

Cited by 56 publications

(64 citation statements)

References 13 publications

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“…The steps involved in the modification are illustrated using an example which was first presented by Verheyen and Zhang (2006). The example has also been solved by a host of other workers (Aaltola 2003;Isafiade and Fraser 2010;Ma et al 2008;Ahmad et al 2012;Jiang and Chang 2013;Isafiade and Short 2016;Kang et al 2016). The problem data for the example is shown in Table 1.…”

Section: Methodsmentioning

confidence: 99%

“…The average area approach used in the objective function of the model of Aaltola (2003) to account for the sizes of the multi-period network's heat exchangers was later improved by Verheyen and Zhang (2006) through the use of a maximum area approach. Other works under the simultaneous approach include the papers by Isafiade and Fraser (2010), Jiang and Chang (2013), Ahmad et al (2012), Jiang and Chang (2015), Short et al (2016), Kang et al (2016), Isafiade et al (2015), Isafiade and Short (2016), amongst others. Isafiade and Fraser (2010) used a multi-period version of the interval-based mixed integer non-linear (MINLP) superstructure approach, Jiang and Chang (2013) used the time sharing approach which was first presented by Jiang and Chang (2015).…”

Section: Introductionmentioning

confidence: 99%

“…Other works under the simultaneous approach include the papers by Isafiade and Fraser (2010), Jiang and Chang (2013), Ahmad et al (2012), Jiang and Chang (2015), Short et al (2016), Kang et al (2016), Isafiade et al (2015), Isafiade and Short (2016), amongst others. Isafiade and Fraser (2010) used a multi-period version of the interval-based mixed integer non-linear (MINLP) superstructure approach, Jiang and Chang (2013) used the time sharing approach which was first presented by Jiang and Chang (2015). In the work of Ahmad et al (2012) a stochastic optimisation approach was used, while in the work of Kang et al (2016), a sub-period approach was adopted.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of Flexible Multi-Period Heat Exchanger Networks Using a Reduced MINLP Superstructure Approach

Isafiade

2017

Process Integr Optim Sustain

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This paper presents an extension to the reduced superstructure approach for synthesising multi-period heat exchanger networks previously presented in the literature. The extension entails identifying promising candidate matches by solving not only the single period stage-wise superstructure of each period of operation (i.e. sub-periods), but also solving intermediate sub-multi-period and the complete multi-period stage-wise superstructure for all periods combined. The resulting matches from the solution networks are used to populate the set of binary variables for the reduced multi-period superstructure model which is then solved as a mixed integer non-linear programming model. Results obtained from the extended model shows an improvement over existing results.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthesis of Flexible Multi-Period Heat Exchanger Networks Using a Reduced MINLP Superstructure Approach

Isafiade

2017

Process Integr Optim Sustain

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“…The methods that have been used for the synthesis of flexible heat-exchanger networks have been both sequential [1][2][3] and simultaneous in nature [4][5][6][7][8][9][10][11][12][13][14][15][16]. Some of the sequential methods are an automated multi-period version of the mixed integer linear programme (MILP) transshipment model [17] and the non-linear programme (NLP) minimum investment network cost model [18].…”

Section: Introductionmentioning

confidence: 99%

“…The simultaneous methods have mostly been based on a multi-period version of the simplified stage-wise superstructure (SWS) model [19]. Some of the existing design methods for flexible HENs may only be feasible to transfer heat for a finite set of processoperating parameters for which the network is designed in what is known as multi-period networks [4][5][6][7][8]. In the multi-period networks [4][5][6][7][8], each period of operation is distinct in that the process parameters, as well as the length of periods for each of the periods of operations, are known upfront.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Period Synthesis Approach to Designing Flexible Heat- Exchanger Networks

Isafiade¹,

Bahadori²

2017

Heat Exchangers - Design, Experiment and Simulation

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This chapter presents a new synthesis method for designing flexible heat-exchanger networks. The methodology used involves a two-step approach: In the first step, a multi-period network is designed for a large number of critical operating periods using a finite set of operating points which lie within the uncertain parameter range, while considering the impact of potential fluctuations in periodic durations of each of the chosen critical points on the network. In the second step, the flexibility of the resulting multi-period network of the first step is tested using very large, randomly generated set of finite potential operating points together with their periodic durations. The key criteria used in determining the finite set of operating points that would participate in the initial multi-period network synthesis of the first step are the nominal operating points, the extreme operating points in terms of heat-load requirements as well as their length of periods. This implies that the resulting flexible network can feasibly transfer heat irrespective of possible fluctuations in periodic durations for any of the potential process-operating points. The solutions obtained using the new approach compare favourably with those in the literature.

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Heat Exchanger Network Design Using MATLAB

2022

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A generalized MATLAB scheme is developed to analyze and design heat exchanger networks (HENs) in process industries. This scheme has been checked for various industrial problems from the literature. The results produced by the proposed scheme are in exact agreement with the literature. The proposed scheme is user‐friendly and less time‐consuming. It will be helpful for industry persons, process engineers, and budding chemical engineers, involved in modeling and simulation studies in order to minimize the energy requirements of industries as well as for academic purposes. The proposed scheme just needs a MATLAB package which is easily available and cheaper than other commercially available heat exchanger network design packages.

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Interval based MINLP superstructure synthesis of heat exchanger networks for multi-period operations

Cited by 56 publications

References 13 publications

Synthesis of Flexible Multi-Period Heat Exchanger Networks Using a Reduced MINLP Superstructure Approach

Synthesis of Flexible Multi-Period Heat Exchanger Networks Using a Reduced MINLP Superstructure Approach

A Multi-Period Synthesis Approach to Designing Flexible Heat- Exchanger Networks

Heat Exchanger Network Design Using MATLAB

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