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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 Methodology

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  • Mamourian, Mojtaba
  • Milani Shirvan, Kamel
  • Mirzakhanlari, Soroush

Abstract

In this paper, a 2-D numerical investigation and a sensitivity analysis of combined turbulent mixed convection and radiation heat transfer have been done using two phase mixture model in a solar heat exchanger. Numerical simulations are carried out to study the effects of the four parameters, the Richardson number (10−2 ≤ Ri ≤ 102), volume fraction of nanoparticles (0.00 ≤ ϕ ≤ 0.04), nanoparticles diameter (40 nm ≤ dp ≤ 60 nm) and the wall surface emissivity (0 ≤ ε ≤ 1). The effective parameters analysis is processed utilizing the RSM (Response Surface Methodology). It is found that decreasing the Ri number and ϕ and also increasing in ε and dp increases the mean total Nusselt number. Due to a decrease in Ri number and increase in ϕ, ε and dp the pressure drop ratio enhances. The sensitivity of the mean total Nusselt number and pressure drop ratio to Ri number is negative. The sensitivity of the mean total Nusselt number to dp and ε is positive but to ϕ is negative. Moreover, the sensitivity of the mean Nusselt number to Ri number, ϕ, dp and ε is more than the sensitivity of the pressure drop ratio to these parameters.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:49-61
    DOI: 10.1016/j.energy.2016.04.079
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    Cited by:

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    2. Tgarguifa, Ahmed & Abderafi, Souad & Bounahmidi, Tijani, 2017. "Energetic optimization of Moroccan distillery using simulation and response surface methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 415-425.
    3. Zhen Zhao & Liang Xu & Jianmin Gao & Lei Xi & Qicheng Ruan & Yunlong Li, 2022. "Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology," Energies, MDPI, vol. 15(3), pages 1-19, February.
    4. Alsarraf, Jalal & Moradikazerouni, Alireza & Shahsavar, Amin & Afrand, Masoud & Salehipour, Hamzeh & Tran, Minh Duc, 2019. "Hydrothermal analysis of turbulent boehmite alumina nanofluid flow with different nanoparticle shapes in a minichannel heat exchanger using two-phase mixture model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 275-288.
    5. Minea, Alina Adriana, 2017. "Challenges in hybrid nanofluids behavior in turbulent flow: Recent research and numerical comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 426-434.
    6. Rana, Puneet & Gupta, Gaurav, 2022. "FEM solution to quadratic convective and radiative flow of Ag-MgO/H2O hybrid nanofluid over a rotating cone with Hall current: Optimization using Response Surface Methodology," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 201(C), pages 121-140.

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