2009
DOI: 10.1016/j.apenergy.2009.01.013
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The application of field synergy number in shell-and-tube heat exchanger optimization design

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Cited by 119 publications
(25 citation statements)
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“…This issue has been demonstrated by numerical results [11]. From the analysis in [11] one can see that a little improvement in heat exchanger performance can lead to large gains in terms of energy saving and environmental protection. Hence, in heat exchanger design, reduction in total cost and improvement in heat exchanger performance should be treated equally.…”
Section: Discussionmentioning
confidence: 76%
See 1 more Smart Citation
“…This issue has been demonstrated by numerical results [11]. From the analysis in [11] one can see that a little improvement in heat exchanger performance can lead to large gains in terms of energy saving and environmental protection. Hence, in heat exchanger design, reduction in total cost and improvement in heat exchanger performance should be treated equally.…”
Section: Discussionmentioning
confidence: 76%
“…The first approach can reduce costs, but possibly at the expense of sacrificing heat exchanger performance [11]. As representative of the second approach, entropy generation minimization suffers from so-called "entropy generation paradox" [8,12].…”
mentioning
confidence: 99%
“…where N is the number of the channels [28,31]. The Reynolds number (Re) is a dimensionless quantity that is used to predict similar flow patterns in different fluid flow situations, which can be obtained by Equation (24) [5]:…”
Section: Heat Exchanger Modelmentioning
confidence: 99%
“…where L, b are the channel width and channel spacing, respectively [28,31]. C is the wetted perimeter of the cross-section.…”
Section: Heat Exchanger Modelmentioning
confidence: 99%
“…They compared the HSA results with those obtained using GA, and revealed that the HSA can converge to an optimum solution with higher accuracy. Guo et al [16] applied the field synergy principle to the optimization design of an STHX with segmental baffles by using the GA to solve the heat exchanger optimization problems by using multiple design variables. The comparison with the conventional heat exchanger optimization design approach, with the total cost as the objective function, shows that the field synergy number maximization approach is more advantageous.…”
Section: Introductionmentioning
confidence: 99%