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Meteorological-Data-Based Modeling for PV Performance Optimization

Author

Listed:
  • Mahmood Alharbi

    (Electrical Engineering Department, Taibah University, Medinan 42353, Saudi Arabia)

  • Ramzi Alahmadi

    (Industrial Engineering Department, Taibah University, Medinan 42353, Saudi Arabia)

  • Ahmed Alahmadi

    (Electrical Engineering Department, Taibah University, Medinan 42353, Saudi Arabia)

Abstract

Developing a sustainable and reliable photovoltaic (PV) energy system requires a comprehensive analysis of solar profiles and an accurate prediction of solar energy performance at the study site. Installing the PV modules with optimal tilt and azimuth angles has a significant impact on the total irradiance delivered to the PV modules. This paper proposes a comprehensive optimization model to integrate total irradiance models with the PV temperature model to find the optimal year-round installation parameters of PV modules. A novel integration between installation parameters and the annual average solar energy is presented, to produce the maximum energy output. The results suggest an increase in energy yields of 4% compared to the conventional scheme, where tilt angle is equal to the latitude and the PV modules are facing south. This paper uses a real-time dataset for the NEOM region in Saudi Arabia to validate the superiority of the proposed model compared to the conventional scheme, but it can be implemented as a scheme wherever real-time data are available.

Suggested Citation

  • Mahmood Alharbi & Ramzi Alahmadi & Ahmed Alahmadi, 2023. "Meteorological-Data-Based Modeling for PV Performance Optimization," Sustainability, MDPI, vol. 15(11), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8659-:d:1156831
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    References listed on IDEAS

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    Cited by:

    1. Mahmood Alharbi & Ibrahim Altarjami, 2024. "Dispatch Optimization Scheme for High Renewable Energy Penetration Using an Artificial Intelligence Model," Energies, MDPI, vol. 17(12), pages 1-17, June.

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