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Performance analysis of turbulent convection heat transfer of Al2O3 water-nanofluid in circular tubes at constant wall temperature

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  • Bianco, Vincenzo
  • Manca, Oronzio
  • Nardini, Sergio

Abstract

The present paper analyzes the turbulent convection of Al2O3-water nanofluid inside a circular section tube subjected to constant wall temperature. The analysis is developed numerically by using the mixture model, which has been proved to be a convenient method to simulate nanofluids behavior. The numerical model is successfully validated by means of analytical equations and experimental correlations. The study is focused on the analysis of the performance of Al2O3-water nanofluid within the considered device. Performance indicators based on the first and second law of thermodynamics are taken into account and analyzed. At the increase of nanofluid concentration, the Nusselt number increases, but entropy generation and pumping power also increase, therefore the penalties overcome the benefits.

Suggested Citation

  • Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2014. "Performance analysis of turbulent convection heat transfer of Al2O3 water-nanofluid in circular tubes at constant wall temperature," Energy, Elsevier, vol. 77(C), pages 403-413.
    • Handle: RePEc:eee:energy:v:77:y:2014:i:c:p:403-413
    DOI: 10.1016/j.energy.2014.09.025
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    References listed on IDEAS

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    9. Zhao, Ningbo & Li, Shuying & Yang, Jialong, 2016. "A review on nanofluids: Data-driven modeling of thermalphysical properties and the application in automotive radiator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 596-616.
    10. Solangi, K.H. & Kazi, S.N. & Luhur, M.R. & Badarudin, A. & Amiri, A. & Sadri, Rad & Zubir, M.N.M. & Gharehkhani, Samira & Teng, K.H., 2015. "A comprehensive review of thermo-physical properties and convective heat transfer to nanofluids," Energy, Elsevier, vol. 89(C), pages 1065-1086.
    11. Ebrahimi-Moghadam, Amir & Mohseni-Gharyehsafa, Behnam & Farzaneh-Gord, Mahmood, 2018. "Using artificial neural network and quadratic algorithm for minimizing entropy generation of Al2O3-EG/W nanofluid flow inside parabolic trough solar collector," Renewable Energy, Elsevier, vol. 129(PA), pages 473-485.
    12. Dey, Prasenjit & Das, Ajoy Kumar, 2016. "A utilization of GEP (gene expression programming) metamodel and PSO (particle swarm optimization) tool to predict and optimize the forced convection around a cylinder," Energy, Elsevier, vol. 95(C), pages 447-458.
    13. Sayantan Mukherjee & Nawaf F. Aljuwayhel & Sasmita Bal & Purna Chandra Mishra & Naser Ali, 2022. "Modelling, Analysis and Entropy Generation Minimization of Al 2 O 3 -Ethylene Glycol Nanofluid Convective Flow inside a Tube," Energies, MDPI, vol. 15(9), pages 1-24, April.
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