2013
DOI: 10.1002/ceat.201300411
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Multi‐Objective Optimization of a Cross‐Flow Plate Heat Exchanger Using Entropy Generation Minimization

Abstract: Multi-objective optimization of a cross-flow plate fin heat exchanger (PFHE) by means of an entropy generation minimization technique is described. Entropy generation in the PFHE was separated into thermal and pressure entropy generation as two objective functions to be minimized simultaneously. The Pareto optimal frontier was obtained and a final optimal solution was selected. By implementing a decision-making method, here the LINMAP method, the best tradeoff was achieved between thermal efficiency and pumpin… Show more

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Cited by 24 publications
(7 citation statements)
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“…The shell‐side axial Reynolds number Re z,o , axial velocity of shell side w o , shell‐side and tube‐side heat transfer coefficients h o and h i , shell‐side hydraulic diameter D h , and overall heat transfer coefficient K are defined by 29: …”
Section: Numerical Simulation Resultsmentioning
confidence: 99%
“…The shell‐side axial Reynolds number Re z,o , axial velocity of shell side w o , shell‐side and tube‐side heat transfer coefficients h o and h i , shell‐side hydraulic diameter D h , and overall heat transfer coefficient K are defined by 29: …”
Section: Numerical Simulation Resultsmentioning
confidence: 99%
“…Babaelahi et al [27] used multi-objective optimization to make concession between thermal efficiency and pumping cost, achieving lower total cost in compared to the original method. Wang et al [28] used the dual fitness functions that act on Genetic Algorithm alternatively to obtain a highly efficient automatic layer pattern arrangement.…”
Section: Introductionmentioning
confidence: 99%
“…Although the multi-objective approaches based on evolutionary computation were successfully applied [26] to lower-dimension optimization, they have a dimensionality problem when there are hundreds of decision variables as in the case of multi-objective dynamic optimization for the ethylene cracking furnace. Therefore, multi-objective mathematical programming (MMP) [27,28] is employed to solve the multi-objective dynamic optimization of the ethylene cracking furnace.…”
Section: Introductionmentioning
confidence: 99%