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Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm

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  • Sanaye, Sepehr
  • Hajabdollahi, Hassan

Abstract

Thermal modeling and optimal design of compact heat exchangers are presented in this paper. [epsilon]-NTU method was applied to estimate the heat exchanger pressure drop and effectiveness. Fin pitch, fin height, fin offset length, cold stream flow length, no-flow length and hot stream flow length were considered as six design parameters. Fast and elitist non-dominated sorting genetic-algorithm (NSGA-II) was applied to obtain the maximum effectiveness and the minimum total annual cost (sum of investment and operation costs) as two objective functions. The results of optimal designs were a set of multiple optimum solutions, called [`]Pareto optimal solutions'. The sensitivity analysis of change in optimum effectiveness and total annual cost with change in design parameters of the plate fin heat exchanger was also performed and the results are reported. As a short cut for choosing the system optimal design parameters the correlations between two objectives and six decision variables with acceptable precision were presented using artificial neural network analysis.

Suggested Citation

  • Sanaye, Sepehr & Hajabdollahi, Hassan, 2010. "Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm," Applied Energy, Elsevier, vol. 87(6), pages 1893-1902, June.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:6:p:1893-1902
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    References listed on IDEAS

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    1. Doodman, A.R. & Fesanghary, M. & Hosseini, R., 2009. "A robust stochastic approach for design optimization of air cooled heat exchangers," Applied Energy, Elsevier, vol. 86(7-8), pages 1240-1245, July.
    2. Sahin, Bayram & Yakut, Kenan & Kotcioglu, Isak & Celik, Cafer, 2005. "Optimum design parameters of a heat exchanger," Applied Energy, Elsevier, vol. 82(1), pages 90-106, September.
    3. Gholap, A.K. & Khan, J.A., 2007. "Design and multi-objective optimization of heat exchangers for refrigerators," Applied Energy, Elsevier, vol. 84(12), pages 1226-1239, December.
    4. Guo, Jiangfeng & Xu, Mingtian & Cheng, Lin, 2009. "The application of field synergy number in shell-and-tube heat exchanger optimization design," Applied Energy, Elsevier, vol. 86(10), pages 2079-2087, October.
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