Iot Based Smart Solar Pv Remote Monitoring System Using Grafana Platform

Abstract

This research presents data from a smart solar PV remote monitoring system connected to the Internet of Things (IoT) and installed in a residential setting. The data demonstrates the system's success in demand-side management (DSM) and efficient energy utilization. In addition to monitoring energy generation and consumption, the system identifies demand peaks occurring around 0.5 kW, with values primarily below 2.0 kW. The system also notes peak energy generation at 0.05 kW. An examination of seasonal patterns reveals that consumption is higher during the summer months due to increased demand for cooling and greater generation resulting from longer daylight hours, while consumption is lower during the winter months. A time-based decision tree method is utilized by an IoT smart scheduler to shift peak loads, resulting in a reduction in conversion losses by seven percent. This optimization enhances the operation of deferrable appliances such as pumps and washing machines. Through a dashboard powered by Grafana, real-time data visualization and customized appliance operation are managed, improving user experience and reducing daily conversion losses by 5% and electricity bills by 12%. Grafana's intuitive user interface significantly enhances the system's usability, paving the way for further advancements in distributed solar management applications. Overall, the IoT smart solar PV remote monitoring system proves to be a technically and financially viable solution for managing residential energy, effectively optimizing energy use and reducing costs.