LAPSE:2023.8740
Published Article

LAPSE:2023.8740
A Thermal Model to Estimate PV Electrical Power and Temperature Profile along Panel Thickness
February 24, 2023
Abstract
The production of electricity from photovoltaic panels has experienced significant developments. To manage the energy flows introduced into the electricity grid, it is necessary to estimate the productivity of PV panels under the climatic conditions. In this study, a photovoltaic panel is modelled from thermal and electrical points of view to evaluate electrical performance and identify the temperature distribution in the layers. The analysis performed is time dependent and the problem is solved using the finite difference technique. A methodology is introduced to estimate the cloudiness of the sky, which affects radiative heat exchange. The calculation method is validated using experimental data recorded in a laboratory of the University of Calabria. Temperature and electrical power are predicted with RMSE of 1.5−2.0 °C and NRMSE of 1.2−2.1%, respectively. The evaluation of the temperature profile inside the panel is essential to understand how heat is dissipated. The results show that the top surface (glass) is almost always colder than the back of the panel, despite being exposed to radiation. In addition, the upper surface dissipates more heat power than the lower one. Cooling systems, such as spray cooling, work better if they are installed on the back of the panel.
The production of electricity from photovoltaic panels has experienced significant developments. To manage the energy flows introduced into the electricity grid, it is necessary to estimate the productivity of PV panels under the climatic conditions. In this study, a photovoltaic panel is modelled from thermal and electrical points of view to evaluate electrical performance and identify the temperature distribution in the layers. The analysis performed is time dependent and the problem is solved using the finite difference technique. A methodology is introduced to estimate the cloudiness of the sky, which affects radiative heat exchange. The calculation method is validated using experimental data recorded in a laboratory of the University of Calabria. Temperature and electrical power are predicted with RMSE of 1.5−2.0 °C and NRMSE of 1.2−2.1%, respectively. The evaluation of the temperature profile inside the panel is essential to understand how heat is dissipated. The results show that the top surface (glass) is almost always colder than the back of the panel, despite being exposed to radiation. In addition, the upper surface dissipates more heat power than the lower one. Cooling systems, such as spray cooling, work better if they are installed on the back of the panel.
Record ID
Keywords
cloud cover, heat dissipation, PV efficiency, sky temperature, thermal model
Subject
Suggested Citation
Nicoletti F, Cucumo MA, Ferraro V, Kaliakatsos D, Gigliotti A. A Thermal Model to Estimate PV Electrical Power and Temperature Profile along Panel Thickness. (2023). LAPSE:2023.8740
Author Affiliations
Nicoletti F: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy [ORCID]
Cucumo MA: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy
Ferraro V: Computer, Modelling, Electronics and System Engineering Department, University of Calabria, 87036 Rende, Italy
Kaliakatsos D: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy [ORCID]
Gigliotti A: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy [ORCID]
Cucumo MA: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy
Ferraro V: Computer, Modelling, Electronics and System Engineering Department, University of Calabria, 87036 Rende, Italy
Kaliakatsos D: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy [ORCID]
Gigliotti A: Mechanical, Energy and Management Engineering Department, University of Calabria, 87036 Rende, Italy [ORCID]
Journal Name
Energies
Volume
15
Issue
20
First Page
7577
Year
2022
Publication Date
2022-10-14
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15207577, Publication Type: Journal Article
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LAPSE:2023.8740
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https://doi.org/10.3390/en15207577
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Feb 24, 2023
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