New Model for Estimating the Temperature and Solar Irradiance of Photovoltaic Panels Based on Maximum Power Point Tracking Measurements

This article proposes a new method for estimating the temperature and irradiance of a photovoltaic module using current and voltage measurements within a maximum power point tracking (MPPT) control system. Unlike traditional methods that depend on external data, such as those provided by complex irradiance and wind speed sensors and equipment, this approach relies solely on panel-specific <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i>–<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> measurements needed for MPPT, enabling accurate estimations through a simpler and real-time method. A comparative evaluation of various panel temperature estimation techniques confirms that the proposed method outperforms existing ones, resulting in mean absolute estimation errors below 1 °C for temperature and 4 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for irradiance. The method effectively addresses temperature variations, particularly under low irradiance conditions, where the proportional relationship between current and irradiance becomes less reliable. Results indicate that incorporating the estimated panel temperature significantly enhances irradiance predictions, especially in real-world operating conditions. Furthermore, the method remains valid even as the panel ages, making it a valuable tool for optimizing photovoltaic system performance. Given its simplicity and its low cost, this technique is well suited for real-time monitoring and optimization of solar energy installations.

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Publication Details

Journal
IEEE Journal of Photovoltaics
Published
2025-09-16
DOI
https://doi.org/10.1109/jphotov.2025.3604875
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

New Model for Estimating the Temperature and Solar Irradiance of Photovoltaic Panels Based on Maximum Power Point Tracking Measurements

M. Ghribi, Luis Garcia-Gutierrez, Zine Eddine Touhami Ternifi, Ghalem Bachir et al.
IEEE Journal of Photovoltaics
Photovoltaic System Optimization Techniques
article

New Model for Estimating the Temperature and Solar Irradiance of Photovoltaic Panels Based on Maximum Power Point Tracking Measurements

M. Ghribi, Luis Garcia-Gutierrez, Zine Eddine Touhami Ternifi, Ghalem Bachir, Michel Aillerie
article en

Abstract

This article proposes a new method for estimating the temperature and irradiance of a photovoltaic module using current and voltage measurements within a maximum power point tracking (MPPT) control system. Unlike traditional methods that depend on external data, such as those provided by complex irradiance and wind speed sensors and equipment, this approach relies solely on panel-specific <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i>–<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> measurements needed for MPPT, enabling accurate estimations through a simpler and real-time method. A comparative evaluation of various panel temperature estimation techniques confirms that the proposed method outperforms existing ones, resulting in mean absolute estimation errors below 1 °C for temperature and 4 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for irradiance. The method effectively addresses temperature variations, particularly under low irradiance conditions, where the proportional relationship between current and irradiance becomes less reliable. Results indicate that incorporating the estimated panel temperature significantly enhances irradiance predictions, especially in real-world operating conditions. Furthermore, the method remains valid even as the panel ages, making it a valuable tool for optimizing photovoltaic system performance. Given its simplicity and its low cost, this technique is well suited for real-time monitoring and optimization of solar energy installations.

IEEE Journal of PhotovoltaicsVol. 15(6)
Université Oran 1 Ahmed Ben Bella (DZ), Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf (DZ), Agence Thématique de Recherche en Science de la Santé (DZ), Laboratoire Matériaux Optiques, Photonique et Systèmes (FR), University Hospital of Oran (DZ)
Openalex Percentile: Top 84%
Photovoltaic System Optimization Techniques
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