Journal
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME
Volume 141, Issue 7, Pages -Publisher
ASME
DOI: 10.1115/1.4043570
Keywords
heat transfer enhancement; multi-objective optimization; configuration design; tube bundle; best compromise solution
Categories
Funding
- National Natural Science Foundation of China [51776079, 51736004, 10.13039/501100001809]
- National Key Research and Development Program of China [2017YFB0603501-3]
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Recently, energy saving problem attracts increasing attention from researchers. This study aims to determine the optimal arrangement of a tube bundle to achieve the best overall performance. The multi-objective genetic algorithm (MOGA) is employed to determine the best configuration, where two objective functions, the average heat flux q and the pressure drop Delta p, are selected to evaluate the performance and the consumption, respectively. Subsequently, a decision maker method, technique for order preference by similarity to an ideal solution (TOPSIS), is applied to determine the best compromise solution from noninferior solutions (Pareto solutions). In the optimization procedure, all the two-dimensional (2D) symmetric models are solved by the computational fluid dynamics (CFD) method. Results show that performances alter significantly as geometries of the tube bundle changes along the Pareto front. For the case 1 (using staggered arrangement as initial), the optimal q varies from 2708.27 W/m(2) to 3641.25 W/m(2) and the optimal Dp varies from 380.32 Pa to 1117.74 Pa, respectively. For the case 2 (using in-line arrangement as initial), the optimal q varies from 2047.56 W/m(2) to 3217.22 W/m(2) and the optimal Dp varies from 181.13 Pa to 674.21 Pa, respectively. Meanwhile, the comparison between the optimal solution with maximum q and the one selected by TOPSIS indicates that TOPSIS could reduce the pressure drop of the tube bundle without sacrificing too much heat transfer performance.
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