Impact of Nanofluids on Performance of Solar Photovoltaic-Thermal Panel and Heat Pipe Hybrid System


International Journal of Thermal Engineering
© 2021 by SSRG - IJTE Journal
Volume 7 Issue 1
Year of Publication : 2021
Authors : S. Sami
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How to Cite?

S. Sami, "Impact of Nanofluids on Performance of Solar Photovoltaic-Thermal Panel and Heat Pipe Hybrid System," SSRG International Journal of Thermal Engineering, vol. 7,  no. 1, pp. 5-20, 2021. Crossref, https://doi.org/10.14445/23950250/IJTE-V7I1P102

Abstract:

Numerical modeling and prediction of the impact of nanofluids as heat transfer fluids in a hybrid system composed of photovoltaic-thermal solar panels and heat pipe are presented hereby. The model was developed to describe the steady-state and dynamic thermal behavior of the hybrid system composed of a photovoltaic-thermal solar panel with heat pipes under different conditions: solar irradiances, material properties, ambient, and nanofluid flow conditions, different refrigerants contained in the heat pipes under boundary conditions. The model was presented to assess the performance and energy conversion process of the hybrid system as well as the individual efficiencies to produce hot water and electricity. The nanofluids used as heat transport fluid were; Ai2O3, Fe304, CuO, and SiO2. The study demonstrated that nanofluid CuO has higher performance at higher evaporator entering temperatures, and the use of nanofluid CuO resulted in higher heat transfer through the heat pipe compared to the other nanofluids under investigation. The results also showed that the higher the concentration of the CuO, the higher the thermal energy. The results also showed that the higher the concentration of the CuO, the higher the thermal energy delivered to the evaporator section of the heat pipe and consequently increased the hybrid system efficiency of the system in question. This has been observed for all solar radiations and concentrations of nanofluids in this paper. Finally, the presented model has been validated, and its prediction is fairly compared with available data.

Keywords:

Numerical modeling, simulation, photovoltaic-thermal solar, heat pipe, refrigerants, nanofluids, hybrid system performance, model validation.

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