Research Papers

Numerical Study on Conjugated Laminar Mixed Convection of Alumina/Water Nanofluid Flow, Heat Transfer, and Entropy Generation Within a Tube-on-Sheet Flat Plate Solar Collector

[+] Author and Article Information
Mohammad Charjouei Moghadam

Department of Industrial Engineering,
University of Bologna,
Forli 47121, Italy

Mojtaba Edalatpour

Department of Mechanical
and Manufacturing Engineering,
Miami University,
Oxford, OH 45056
e-mail: edalatm@miamioh.edu

Juan P. Solano

Departamento de Ingeniería
Térmica y de Fluidos,
Universidad Politécnica de Cartagena,
Campus de Excelencia Internacional Regional
“Campus Mare Nostrum,”
Cartagena 30202, Spain

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received November 26, 2016; final manuscript received May 3, 2017; published online June 8, 2017. Assoc. Editor: Wojciech Lipinski.

J. Sol. Energy Eng 139(4), 041011 (Jun 08, 2017) (12 pages) Paper No: SOL-16-1484; doi: 10.1115/1.4036854 History: Received November 26, 2016; Revised May 03, 2017

In this research, an inclined three-dimensional nanofluid-based tube-on-sheet flat plate solar collector (FPSC) working under laminar conjugated mixed convection heat transfer is numerically modeled. The working fluid is selected to be alumina/water (Al2O3/water) and results from heat transfer, entropy generation, and pressure drop points of view are being presented for various prominent parameters, namely volume fraction, nanoparticles diameter, Richardson and Reynolds numbers. According to the simulations, Nusselt number decreases as the Richardson number or volume fraction of the nanofluid rises, whereas heat transfer coefficient experiences an augmentation when volume concentration and the Richardson number surge. Also, data reveal that total entropy generation rate of the system declines when the alumina/water nanofluid is utilized inside the system as the volume fraction or the Richardson number increases. Additionally, it is found that increasing the nanoparticle volume concentration or the Richardson number diminishes the pressure drop considerably, whereas friction factor substantially proliferates as the Richardson number or volume fraction rises. Eventually, employment of larger alumina nanoparticles mean diameter eventuates in providing lower Nusselt number and apparent friction factor while it increases the pressure drop and heat transfer coefficient. Finally, comparing the efficiency of the presented FPSC design with those available in the literature shows a superior performance by the present design with its maximum occurring at 2 vol %.

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Fig. 1

Geometrical configuration of the investigated tube-on-sheet FPSC

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Fig. 2

Grid layout of the present numerical simulation

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Fig. 3

Grid independency check for the FPSC when Al2O3/water nanofluid with 1.5% volume concentration is used at Re = 1500

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Fig. 4

Validation of the present numerical code with the data available in the literature: (a) Ben Mansour et al. [37], (b) Moghaddami et al. [38], and (c) Ting and Hou [39]

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Fig. 5

Variations of the nanofluid outlet temperature at different volume concentrations and mass flow rates

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Fig. 6

Variations of the Nusselt number at different volume concentrations and nanoparticle diameter for various: (a) Richardson numbers and (b) Reynolds numbers

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Fig. 7

Variations of the heat transfer coefficient at different volume concentrations and nanoparticle diameter for various: (a) Richardson numbers and (b) Reynolds numbers

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Fig. 8

Variations of the friction factor at different volume concentrations and nanoparticle diameter for various: (a) Richardson numbers and (b) Reynolds numbers

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Fig. 9

Variations of the heat transfer entropy generation at different volume concentrations and nanoparticle diameter for various: (a) Richardson numbers and (b) Reynolds numbers

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Fig. 10

Variations of the entropy generation ratio at different volume concentrations and nanoparticle diameter for various: (a) Richardson numbers and (b) Reynolds numbers

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Fig. 11

Variations of the overall thermal efficiency against: (a) different volume concentrations for various Reynolds numbers and (b) available data in the literature. When dp = 25 nm.

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Fig. 12

Effect of different Reynolds numbers and volume concentrations on the temperature contours of the tube-on-sheet FPSC



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