The temperature at three points is measured using the FBG sensor. This three-point measurement is selected based on the pre-measurement experiments conducted on the same panel with more diagonal locations. Researchers can vary the number of sensor locations based on the solar panel type and size.
In this study, we give an overview of different approaches for Photovoltaic module temperature prediction by comparing different theoretical models with experimental measurements. These temperature models are calculated using meteorological parameters such as environment temperature, incident solar irradiance and wind speed if necessary.
The sensor performance is investigated on monocrystalline and polycrystalline panels in indoor and outdoor environments. The present study's uniqueness is employing FBG sensor to determine solar PV panel temperature on indoor and outdoor experiments with minimal measurement points on a solar panel.
Estimation of the PV module temperature by the Skoplaki method based on estimation of ambient temperature by model (3) concerning cases III, VI and VII. The sinusoidal models (models 1 and 2) give incompatible instantaneous module temperature results with actual data throughout the day.
The first parameter affecting the forecasting of PV module temperature is solar radiation, where accurate knowledge of the solar radiation value is very important for the precision of the different models.
Thus, proper thermal management of solar PV panels is possible with the help of FBG by precisely tracking the temperature change and providing the cooling effect accordingly. Fig. 7. (a) Dependence of reflectance on incident radiation flux at different angles of inclination. (b) and (c).