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Experimental analysis and dynamic modeling of a photovoltaic module with porous fins

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  • Selimefendigil, Fatih
  • Bayrak, Fatih
  • Oztop, Hakan F.

Abstract

In this study, experimental analysis and performance predictions of solar photovoltaic (PV) module equipped with porous fins were performed. The experimental setup was tested in Technology Faculty of Firat University, Elazig of Turkey which is located at 36° and 42° North latitudes. The PV module was oriented facing south and tilted to an angle of 36° with respect to the horizontal in order to maximize the solar radiation incident on the glass cover. Experimental analysis was conducted for configurations where PV module is equipped with porous metal foams. A multi-input multi-output dynamic system based on artificial neural networks was obtained for the PV configuration with and without fin by using the measured data (ambient temperature, PV panels back surface temperatures, current, voltage, radiation and wind velocity) from the experimental test rig. It was observed that adding porous fins to the PV module results in performance enhancements. The developed mathematical model based on dynamic neural networks can be used for further development and performance predictions of these systems.

Suggested Citation

  • Selimefendigil, Fatih & Bayrak, Fatih & Oztop, Hakan F., 2018. "Experimental analysis and dynamic modeling of a photovoltaic module with porous fins," Renewable Energy, Elsevier, vol. 125(C), pages 193-205.
    • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:193-205
    DOI: 10.1016/j.renene.2018.02.002
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    References listed on IDEAS

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    Cited by:

    1. Choi, Hwiung & Choi, Kwanghwan, 2022. "Parametric study of a novel air-based photovoltaic-thermal collector with a transverse triangular-shaped block," Renewable Energy, Elsevier, vol. 201(P1), pages 96-110.
    2. Selimefendigil, Fatih & Öztop, Hakan F., 2020. "Identification of pulsating flow effects with CNT nanoparticles on the performance enhancements of thermoelectric generator (TEG) module in renewable energy applications," Renewable Energy, Elsevier, vol. 162(C), pages 1076-1086.
    3. Al-Amri, Fahad & Saeed, Farooq & Mujeebu, Muhammad Abdul, 2022. "Novel dual-function racking structure for passive cooling of solar PV panels –thermal performance analysis," Renewable Energy, Elsevier, vol. 198(C), pages 100-113.
    4. Fatih Selimefendigil & Damla Okulu & Hakan F. Öztop, 2023. "Photovoltaic Thermal Management by Combined Utilization of Thermoelectric Generator and Power-Law-Nanofluid-Assisted Cooling Channel," Sustainability, MDPI, vol. 15(6), pages 1-29, March.
    5. Ahmad Al Aboushi & Eman Abdelhafez & Mohammad Hamdan, 2022. "Finned PV Natural Cooling Using Water-Based TiO 2 Nanofluid," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    6. Ahmad Manasrah & Mohammad Masoud & Yousef Jaradat & Piero Bevilacqua, 2022. "Investigation of a Real-Time Dynamic Model for a PV Cooling System," Energies, MDPI, vol. 15(5), pages 1-15, March.

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