2014
DOI: 10.1021/ie501278c
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Structure and Area Optimization of Flexible Heat Exchanger Networks

Abstract: A novel method is outlined for flexible heat exchanger network synthesis including nonconvex problems. The presented method is sequentially implemented by two main steps: structure synthesis and area optimization; nevertheless, the optimization of heat exchanger areas can still react on the structure to gain the global optimal solution. The structure is initially synthesized at the nominal operating point and renewed by the topological union with the structure of the critical point and the improved heat transf… Show more

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Cited by 21 publications
(24 citation statements)
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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%
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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%
“…Furthermore, additional costs and complex controllability issues will be incurred due to excessive piping and associated instrumentations. Hence, some other synthesis methods that result in networks that have a greater degree of flexibility have been presented in the literature [10][11][12][13][14][15]. One of the methods entails [10] a three-step approach where a network is designed based on a finite set of operating points in the first step.…”
Section: Introductionmentioning
confidence: 99%
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