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A robust stochastic approach for design optimization of air cooled heat exchangers

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  • Doodman, A.R.
  • Fesanghary, M.
  • Hosseini, R.

Abstract

This study investigates the use of global sensitivity analysis (GSA) and harmony search (HS) algorithm for design optimization of air cooled heat exchangers (ACHEs) from the economic viewpoint. In order to reduce the size of the optimization problem, GSA is performed to examine the effect of the design parameters and to identify the non-influential parameters. Then HS is applied to optimize influential parameters. To demonstrate the ability of the HS algorithm a case study is considered and for validation purpose, genetic algorithm (GA) is also applied to this case study. Results reveal that the HS algorithm converges to optimum solution with higher accuracy in comparison with GA.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:7-8:p:1240-1245
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Luo, Xianglong & Yi, Zhitong & Zhang, Bingjian & Mo, Songping & Wang, Chao & Song, Mengjie & Chen, Ying, 2017. "Mathematical modelling and optimization of the liquid separation condenser used in organic Rankine cycle," Applied Energy, Elsevier, vol. 185(P2), pages 1309-1323.
    2. Khaled, Mahmoud & Harambat, Fabien & Hage, Hicham El & Peerhossaini, Hassan, 2011. "Spatial optimization of an underhood cooling module – Towards an innovative control approach," Applied Energy, Elsevier, vol. 88(11), pages 3841-3849.
    3. 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.
    4. Ahmadigorji, Masoud & Amjady, Nima, 2015. "Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach," Applied Energy, Elsevier, vol. 156(C), pages 655-665.
    5. Khaled, Mahmoud & Mangi, Fareed & Hage, Hisham El & Harambat, Fabien & Peerhossaini, Hassan, 2012. "Fan air flow analysis and heat transfer enhancement of vehicle underhood cooling system – Towards a new control approach for fuel consumption reduction," Applied Energy, Elsevier, vol. 91(1), pages 439-450.
    6. Varun & Siddhartha, 2010. "Thermal performance optimization of a flat plate solar air heater using genetic algorithm," Applied Energy, Elsevier, vol. 87(5), pages 1793-1799, May.
    7. Wong, L.T. & Mui, K.W. & Guan, Y., 2010. "Shower water heat recovery in high-rise residential buildings of Hong Kong," Applied Energy, Elsevier, vol. 87(2), pages 703-709, February.
    8. Manjunath, K. & Kaushik, S.C., 2014. "Second law thermodynamic study of heat exchangers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 348-374.
    9. Manassaldi, Juan I. & Scenna, Nicolás J. & Mussati, Sergio F., 2014. "Optimization mathematical model for the detailed design of air cooled heat exchangers," Energy, Elsevier, vol. 64(C), pages 734-746.

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