Photovoltaic Energy Harvesting with Static and Dynamic Solar Modules Employing IoT-Enabled Performance Monitoring

Abstract

This study examines the effectiveness of static and dynamic PV module models for solar energy gathering. The static design of the first solar panel is used, while the dynamic design of the second solar panel with a single-axis tracker is used. Finding the best model for capturing solar energy and turning it into electrical energy is the aim. Monitoring systems use IoT technologies. To detect variables including current, voltage, radiation, temperature, and humidity, the system has a number of sensors. The Thinger i.o program, coupled to the Arduino Uno used to control these sensors uses the Internet of Things (IoT) concept to evaluate and keep track of the outcomes of parameter measurements. As a result, the acquired measurement results can be viewed on the Thinger i.o application and checked remotely from any location. The three tests show that systems using dynamic ideas are better able to capture solar energy than static systems. The performance discrepancy is at its widest in the third test, when the dynamic system generates 14.4% more electrical energy than the static system.