Automated sun tracking solar panel for residence

This study presents the design and simulation of an Automated Sun Tracker Solar Panel system aimed at enhancing energy efficiency for residential applications. The system integrates Node MCU microcontroller technology with photoresistors for light detection, current sensors for power monitoring, and a Liquid Crystal Display (LCD) for real-time data visualization. Employing Internet of Things (IoT) functionality via a Wi-Fi module, the system enables remote monitoring and control. Using Proteus simulation, the Node MCU processes sensor inputs to dynamically adjust the orientation of the solar panel using servo motors for optimal sunlight exposure. Additional features include Light-Emitting Diodes (LEDs) for operational status alerts and intelligent motor control to maximize energy output. The IoT connectivity further extends system versatility by allowing real-time tracking of performance metrics such as power output and efficiency. This scalable and cost-effective solution demonstrates significant potential for improving residential energy sustainability and accessibility. By addressing challenges in renewable energy utilization, the proposed system contributes to global efforts in reducing carbon footprints and promoting sustainable living.