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An Arduino-based solar tracking system project that optimizes energy capture by aligning the panel with the brightest light source in real-time.

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m3mentomor1/Arduino-Based_Solar-Tracking-System_for_Optimized-Solar-Energy-Harvesting

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Arduino-Based Solar Tracking System for Optimized Solar Energy Harvesting

🧐 I. Overview

This project demonstrates the development of an Arduino-based solar tracking system designed to optimize the energy capture efficiency of solar panels. The system adjusts the panel's orientation in real-time, following the brightest light source, ensuring the solar panel remains aligned with the optimal sunlight direction for maximum energy absorption.

⛓️ II. Features

✅ Real-Time Solar Panel Adjustment

The system uses photoresistive sensors to track light intensity and adjust the solar panel’s orientation (both vertically and horizontally).


✅ Energy Efficiency

The system improves solar panel energy capture by dynamically adjusting to follow the sun, resulting in more efficient energy harvesting compared to static panels.


✅ Arduino-based Control

The system utilizes an Arduino UNO microcontroller to process sensor data and control servo motors for panel orientation.


✅ Application Software

A user-friendly dashboard displays real-time sensor readings, panel orientation, and power consumption. The software also provides an interface to monitor the solar tracking system and track the performance of the solar panel, including its real-time light intensity and adjustments.

⚙️ III. Hardware Components

Component
1x Arduino UNO R3 (CH340)
1x USB 2.0 Cable Type A/B
1x V5.0 Sensor Shield Expansion Board
4x 3-Pin Dupont Wire (F-F)
4x Photo Resistive Sensor Modules
2x SG90 Servo Motors
1x 6V 3W Monocrystalline Solar Panel
1x USB Charge Detector
1x 18650 Mobile Power Shield
4x 18650 3.7V Lithium-Ion Batteries
1x 18650 Battery Case



💻 IV. Software Components

Tech Stack: C/C++ (Arduino Framework) Python Tkinter pySerial

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An Arduino-based solar tracking system project that optimizes energy capture by aligning the panel with the brightest light source in real-time.

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