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

  • Pramod Kumar ORCID logo , Sanjay Kumar Maurya ORCID logo EMAIL logo , Indresh Yadav ORCID logo und Santanu Chowdhury
Veröffentlicht/Copyright: 24. September 2025
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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.


Corresponding author: Sanjay Kumar Maurya, Electrical Engineering Department, GLA University Mathura, Mathura, Uttar Pradesh, India, E-mail:

Funding source: Council of Science and Technology,U.P. (CST,U.P.)

Award Identifier / Grant number: PID 1972

Acknowledgment

The research project PID 1972, year 2022, is supported by the UPCST: Council of Science and Technology, Uttar Pradesh.

  1. Research ethics: NA.

  2. Informed consent: NA.

  3. Author contributions: All authors have made equal contributions.

  4. Use of Large Language Models, AI and Machine Learning Tools: NA.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This work was supported by Council of Science and Technology,U.P. (CST,U.P.) (PID 1972).

  7. Data availability: Made available on the request.

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Received: 2025-03-01
Accepted: 2025-09-07
Published Online: 2025-09-24

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 25.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijeeps-2025-0079/html
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