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Investigation of a Real-Time Dynamic Model for a PV Cooling System

Author

Listed:
  • Ahmad Manasrah

    (Mechanical Engineering Department, Al-Zaytoonah University of Jordan, Amman 11733, Jordan)

  • Mohammad Masoud

    (Electrical Engineering Department, Al-Zaytoonah University of Jordan, Amman 11733, Jordan)

  • Yousef Jaradat

    (Electrical Engineering Department, Al-Zaytoonah University of Jordan, Amman 11733, Jordan)

  • Piero Bevilacqua

    (Department of Mechanical, Energetic and Management Engineering, University of Calabria, 87036 Rende, Italy)

Abstract

The cooling of PV models is an important process that enhances the generated electricity from these models, especially in hot areas. In this work, a new, active cooling algorithm is proposed based on active fan cooling and an artificial neural network, which is named the artificial dynamic neural network Fan cooling algorithm (DNNFC). The proposed system attaches five fans to the back of a PV model. Subsequently, only two fans work at any given time to circulate the air under the PV model in order to cool it down. Five different patterns of working fans have been experimented with in this work. To select the optimal pattern for any given time, a back propagation neural network model was trained. The algorithm is a dynamic algorithm since it re-trains the model with new recorded surface temperatures over time. In this way, the model automatically adapts to any weather and environmental conditions. The model was trained with an indoor dataset and tested with an outdoor dataset. An accuracy of more than 97% has been recorded, with a mean square error of approximately 0.02.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1836-:d:762330
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    References listed on IDEAS

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    1. Bevilacqua, Piero & Bruno, Roberto & Rollo, Antonino & Ferraro, Vittorio, 2022. "A novel thermal model for PV panels with back surface spray cooling," Energy, Elsevier, vol. 255(C).
    2. Ahmad Manasrah & Yousef Jaradat & Mohammad Masoud & Mohammad Alia & Khaled Suwais & Piero Bevilacqua, 2025. "Flat vs. Curved: Machine Learning Classification of Flexible PV Panel Geometries," Energies, MDPI, vol. 18(13), pages 1-16, July.

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