Modeling the cell temperature of rooftop PV panels under dynamic environmental conditions: implications for power output and temperature in shaded areas

Abstract Photovoltaic (PV) module performance is heavily influenced by temperature, requiring precise modelling to optimise rooftop systems that support the UN Sustainable Development Goals. This paper presents a simplified mathematical model for estimating the temperature of solar cells in rooftop installations under dynamic environmental conditions. The model considers primary convective and conductive heat transfer, with the heat transfer coefficient being adaptively adjusted to reflect the interaction between the rear surface of the PV panel and the ambient temperature at different wind speeds. Additionally, the thermal model is used to predict power generation. Validation through real-time experiments on a 100-W PV panel showed a deviation of only 1–2% in temperature predictions and around 4 % and 3 % in power output in unshaded and shaded conditions, respectively. These results confirm the model’s reliability and its practical usefulness for accurate performance evaluation of rooftop PV systems in real-world environments. Furthermore, power loss caused by leakage current in the bypass string under shading conditions was experimentally measured, opening a new path for future research.

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Publication Details

Journal
International Journal of Emerging Electric Power Systems
Published
2025-09-22
DOI
https://doi.org/10.1515/ijeeps-2025-0079
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling the cell temperature of rooftop PV panels under dynamic environmental conditions: implications for power output and temperature in shaded areas

Sanjay Kumar Maurya, Pramod Kumar, Indresh Yadav, Santanu Chowdhury
International Journal of Emerging Electric Power Systems
Photovoltaic System Optimization Techniques
article

Modeling the cell temperature of rooftop PV panels under dynamic environmental conditions: implications for power output and temperature in shaded areas

Sanjay Kumar Maurya, Pramod Kumar, Indresh Yadav, Santanu Chowdhury
article en

Abstract

Abstract Photovoltaic (PV) module performance is heavily influenced by temperature, requiring precise modelling to optimise rooftop systems that support the UN Sustainable Development Goals. This paper presents a simplified mathematical model for estimating the temperature of solar cells in rooftop installations under dynamic environmental conditions. The model considers primary convective and conductive heat transfer, with the heat transfer coefficient being adaptively adjusted to reflect the interaction between the rear surface of the PV panel and the ambient temperature at different wind speeds. Additionally, the thermal model is used to predict power generation. Validation through real-time experiments on a 100-W PV panel showed a deviation of only 1–2% in temperature predictions and around 4 % and 3 % in power output in unshaded and shaded conditions, respectively. These results confirm the model’s reliability and its practical usefulness for accurate performance evaluation of rooftop PV systems in real-world environments. Furthermore, power loss caused by leakage current in the bypass string under shading conditions was experimentally measured, opening a new path for future research.

International Journal of Emerging Electric Power Systems
Reliance Industries (India) (IN), GLA University (IN)
Openalex Percentile: Top 83%
Photovoltaic System Optimization Techniques
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