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Application of the entropy generation minimization method to a solar heat exchanger: A pseudo-optimization design process based on the analysis of the local entropy generation maps

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  • Giangaspero, Giorgio
  • Sciubba, Enrico

Abstract

This paper presents an application of the entropy generation minimization method to the pseudo-optimization of the configuration of the heat exchange surfaces in a Solar Rooftile. An initial “standard” commercial configuration is gradually improved by introducing design changes aimed at the reduction of the thermodynamic losses due to heat transfer and fluid friction. Different geometries (pins, fins and others) are analysed with a commercial CFD (Computational Fluid Dynamics) code that also computes the local entropy generation rate. The design improvement process is carried out on the basis of a careful analysis of the local entropy generation maps and the rationale behind each step of the process is discussed in this perspective. The results are compared with other entropy generation minimization techniques available in the recent technical literature. It is found that the geometry with pin-fins has the best performance among the tested ones, and that the optimal pin array shape parameters (pitch and span) can be determined by a critical analysis of the integrated and local entropy maps and of the temperature contours.

Suggested Citation

  • Giangaspero, Giorgio & Sciubba, Enrico, 2013. "Application of the entropy generation minimization method to a solar heat exchanger: A pseudo-optimization design process based on the analysis of the local entropy generation maps," Energy, Elsevier, vol. 58(C), pages 52-65.
    • Handle: RePEc:eee:energy:v:58:y:2013:i:c:p:52-65
    DOI: 10.1016/j.energy.2013.01.069
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    References listed on IDEAS

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    1. Carmine Luca Iandoli & Enrico Sciubba & Nicola Zeoli, 2008. "The computation of the entropy generation rate for turbomachinery design applications: some theoretical remarks and practical examples," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 6(1/2), pages 64-95.
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    Citations

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    Cited by:

    1. Janardhana Reddy, G. & Kumar, Mahesh & Anwar Beg, O., 2018. "Effect of temperature dependent viscosity on entropy generation in transient viscoelastic polymeric fluid flow from an isothermal vertical plate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 426-445.
    2. Adrian Bejan & George Tsatsaronis, 2021. "Purpose in Thermodynamics," Energies, MDPI, vol. 14(2), pages 1-25, January.
    3. Mamourian, Mojtaba & Milani Shirvan, Kamel & Mirzakhanlari, Soroush, 2016. "Two phase simulation and sensitivity analysis of effective parameters on turbulent combined heat transfer and pressure drop in a solar heat exchanger filled with nanofluid by Response Surface Methodol," Energy, Elsevier, vol. 109(C), pages 49-61.
    4. Li, Haowen & Yang, Huachao & Xu, Chenxuan & Yan, Jianhua & Cen, Kefa & Ostrikov, Kostya (Ken) & Bo, Zheng, 2022. "Entropy generation analysis in supercapacitor modules based on a three-dimensional coupled thermal model," Energy, Elsevier, vol. 244(PB).
    5. Li, Haowen & Yang, Huachao & Yan, Jianhua & Cen, Kefa & Ostrikov, Kostya (Ken) & Bo, Zheng, 2022. "Energy and entropy generation analysis in a supercapacitor for different operating conditions," Energy, Elsevier, vol. 260(C).
    6. 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.
    7. Asinari, Pietro & Chiavazzo, Eliodoro, 2014. "The notion of energy through multiple scales: From a molecular level to fluid flows and beyond," Energy, Elsevier, vol. 68(C), pages 870-876.
    8. Daróczy, László & Janiga, Gábor & Thévenin, Dominique, 2014. "Systematic analysis of the heat exchanger arrangement problem using multi-objective genetic optimization," Energy, Elsevier, vol. 65(C), pages 364-373.

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    1. 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.

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