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Thermodynamic optimization of geometric structure in the counterflow heat exchanger for an environmental control system

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  • Shiba, T.
  • Bejan, A.

Abstract

This paper shows that the internal geometric configuration of a component can be deduced by optimizing the global performance of the installation that uses the component. The example chosen is the counterflow heat exchanger that serves as condenser in a vapor-compression-cycle refrigeration system for environmental control of aircraft. The optimization of global performance is achieved by minimizing the total power requirement or the total entropy generation rate. There are three degrees of freedom in the heat exchanger configuration, which is subjected to two global constraints: total volume, and total volume (or weight) of wall-material. Numerical results show how the optimal configuration responds to changes in specified external parameters such as refrigeration load, fan efficiency, and volume and weight. In accordance with constructal theory and design [1], it is shown that the optimal configuration is robust: major features such as the ratio of diameters and the flow length are relatively insensitive to changes in the external parameters.

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  • Shiba, T. & Bejan, A., 2001. "Thermodynamic optimization of geometric structure in the counterflow heat exchanger for an environmental control system," Energy, Elsevier, vol. 26(5), pages 493-512.
    • Handle: RePEc:eee:energy:v:26:y:2001:i:5:p:493-512
    DOI: 10.1016/S0360-5442(01)00011-1
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    References listed on IDEAS

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    1. von Spakovsky, Michael R., 1994. "Application of engineering functional analysis to the analysis and optimization of the CGAM problem," Energy, Elsevier, vol. 19(3), pages 343-364.
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    1. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2012. "Optimum performance of the small-scale open and direct solar thermal Brayton cycle at various environmental conditions and constraints," Energy, Elsevier, vol. 46(1), pages 42-50.
    2. Ordonez, Juan Carlos & Bejan, Adrian, 2003. "Minimum power requirement for environmental control of aircraft," Energy, Elsevier, vol. 28(12), pages 1183-1202.
    3. Sciacovelli, A. & Verda, V. & Sciubba, E., 2015. "Entropy generation analysis as a design tool—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1167-1181.
    4. Revellin, Rémi & Lips, Stéphane & Khandekar, Sameer & Bonjour, Jocelyn, 2009. "Local entropy generation for saturated two-phase flow," Energy, Elsevier, vol. 34(9), pages 1113-1121.
    5. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2013. "A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 677-690.
    6. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2011. "Operating conditions of an open and direct solar thermal Brayton cycle with optimised cavity receiver and recuperator," Energy, Elsevier, vol. 36(10), pages 6027-6036.
    7. Nunes, T.K. & Vargas, J.V.C. & Ordonez, J.C. & Shah, D. & Martinho, L.C.S., 2015. "Modeling, simulation and optimization of a vapor compression refrigeration system dynamic and steady state response," Applied Energy, Elsevier, vol. 158(C), pages 540-555.

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