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Experimental and numerical studies of a U-shaped solar energy collector to track the maximum CPV/T system output by varying the flow rate

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  • Imtiaz Hussain, M.
  • Lee, Gwi Hyun

Abstract

In the last decade, no comprehensive numerical and experimental analyses have been performed to find the maximum possible power generation from a concentrated photovoltaic thermal (CPV/T) system by varying the flow rate of the fluid. This paper describes numerical and experimental studies of a U-shaped solar energy collector model of a CPV/T system, with the goal of determining the maximal thermal and electrical power outputs against a specific volumetric flow rate also called an optimum flow rate. The CPV/T system was based on the union of 8 triple junction solar cells, 8 SOG Fresnel lenses, effective dual-axis tracking, and a forced cooling system. Analyses were performed by changing the flow rate of the working fluid at a considered solar irradiation and ambient temperature. The thermal and electrical power outputs also varied with changes in the ambient temperature and available solar radiation. The relatively high value of CPV/T power was observed against the optimum flow rate at a given irradiation and ambient temperature. Analysis of the energy of the U- shaped solar energy collector system was evaluated experimentally. The numerical results and experimental measurements of the U-shaped solar energy collector model showed great harmony, with minimal deviations of <7% between them.

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  • Imtiaz Hussain, M. & Lee, Gwi Hyun, 2015. "Experimental and numerical studies of a U-shaped solar energy collector to track the maximum CPV/T system output by varying the flow rate," Renewable Energy, Elsevier, vol. 76(C), pages 735-742.
    • Handle: RePEc:eee:renene:v:76:y:2015:i:c:p:735-742
    DOI: 10.1016/j.renene.2014.12.008
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    3. Deka, Manash Jyoti & Kamble, Akash Dilip & Das, Dudul & Sharma, Prabhakar & Ali, Shahadath & Kalita, Paragmoni & Bora, Bhaskor Jyoti & Kalita, Pankaj, 2024. "Enhancing the performance of a photovoltaic thermal system with phase change materials: Predictive modelling and evaluation using neural networks," Renewable Energy, Elsevier, vol. 224(C).
    4. Lamnatou, Chr. & Vaillon, R. & Parola, S. & Chemisana, D., 2021. "Photovoltaic/thermal systems based on concentrating and non-concentrating technologies: Working fluids at low, medium and high temperatures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Kasaeian, Alibakhsh & Tabasi, Sanaz & Ghaderian, Javad & Yousefi, Hossein, 2018. "A review on parabolic trough/Fresnel based photovoltaic thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 193-204.
    6. Joo Hee Lee & Seong Geon Hwang & Gwi Hyun Lee, 2019. "Efficiency Improvement of a Photovoltaic Thermal (PVT) System Using Nanofluids," Energies, MDPI, vol. 12(16), pages 1-16, August.
    7. Han, Xue & Zhao, Guankun & Xu, Chao & Ju, Xing & Du, Xiaoze & Yang, Yongping, 2017. "Parametric analysis of a hybrid solar concentrating photovoltaic/concentrating solar power (CPV/CSP) system," Applied Energy, Elsevier, vol. 189(C), pages 520-533.
    8. M. Imtiaz Hussain & Jin-Hee Kim & Jun-Tae Kim, 2019. "Nanofluid-Powered Dual-Fluid Photovoltaic/Thermal (PV/T) System: Comparative Numerical Study," Energies, MDPI, vol. 12(5), pages 1-19, February.
    9. Hafez, A.Z. & Yousef, A.M. & Harag, N.M., 2018. "Solar tracking systems: Technologies and trackers drive types – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 754-782.
    10. Jakhar, Sanjeev & Soni, M.S. & Gakkhar, Nikhil, 2016. "Historical and recent development of concentrating photovoltaic cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 41-59.

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