Performance Evaluation of IoT-Based Solar Panel Fault Detection System

Abstract

This paper introduces the performance analysis of an IoT-based solution of detecting faults in solar panels and then diagnosing them, with the main emphasis on the efficiency of troubleshooting solar panels. Since solar energy systems are progressively becoming part of almost every energy management strategy worldwide, it is important that they deliver maximum output by detecting faults in time. The suggested system has used IoT technology to continuously monitor different parameters in real-time i.e. voltage, current, temperature etc. to ensure that faults can be detected early and to reduce downtime of the system. Performance of the system is tested in a set of experiments where the results indicate the accuracy of the system, its detection time and the level of energy efficiency. The comparisons of the new approach of fault detection with the traditional approaches have shown the benefits of the internet of things application, such as higher detection rates and reduced response rates. The research indicates that systems based on the IoT have a potential to transform fault detection in solar energy system and provide a scalable solution to large-scale application.