Quality Span Prediction (QSP) of Solar Photovoltaic Panels

One of the most beneficial systems to generate green energy are the solar panels. At present various types of photovoltaic panels are in use depending on the energy requirement of the user. But, all panels are not in good conditions. Sometimes the users are supplied with very old and degraded quality panels. This reduced the power production of PV panels which are lower than their rated value. So the users have to install a new PV system within a very short span of time. Hence the choice of solar power system is decreasing in certain regions. This paper is focused on finding the age and quality of the PV panels. The quality of the PV panel is estimated by Infrared Thermal Imaging (ITI) techniques. The age of the PV panels is found out from the Normal Test Operating Condition (NTOC) values Normal Operating Cell Temperature (NOCT) values. From these NTOC, the Standard Test Condition (STC) values are derived. The deviation between them is used to derive efficiency, percentage defect and age of the panel. The findings necessitate the user to select the right PV panels for their energy production requirements. Hence the cost of reinstallation is eliminated and the selection of PV panels by users is encouraged. The panels are frequently monitored and their full life span is utilized productively.