π Solar Tracker Project β Auto-tracking Panel That Follows the Sun
A working solar tracker that increases energy efficiency by 40% β built by students using locally available components.
The Problem
Fixed solar panels don’t capture maximum sunlight throughout the day, reducing energy output by up to 40%.
The Solution
A dual-axis solar tracker using LDR sensors and Arduino that automatically rotates the panel to face the sun.
The Impact
40% more energy collection vs fixed panel. Built with locally available components under Rs. 8,000.
βοΈ How It Works
The solar tracker uses four Light Dependent Resistors (LDRs) positioned in a cross pattern. An Arduino Uno reads the light intensity from each LDR and activates servo motors to tilt the solar panel toward the brightest direction. The system continuously adjusts throughout the day β from sunrise to sunset β ensuring the panel always faces the sun at an optimal 90-degree angle.
π Step-by-Step Build Process
- Step 1: Assemble the LDR sensor circuit on breadboard with voltage divider configuration.
- Step 2: Calibrate LDR readings and write Arduino code to compare light values.
- Step 3: Mount servo motors on a wooden/acrylic base to create X and Y axis movement.
- Step 4: Attach the solar panel to the servo mechanism using 3D-printed brackets.
- Step 5: Upload final code and test the tracking response to light changes.
- Step 6: Compare voltage output between fixed panel vs tracker using a multimeter.
π Results & Impact
- 40% higher energy output compared to a fixed solar panel in the same conditions
- Built for under Rs. 8,000 using locally sourced components from Karachi electronics markets
- Working prototype presented at 3 school science fairs and 1 inter-school competition
- Student skills gained: Arduino programming, circuit design, mechanical assembly, testing methodology
- Replication ready: 8 other students have built their own versions using this documentation
π Test Result: On a sunny day (10 AM to 4 PM), the fixed panel produced average 4.2V, while the solar tracker produced average 5.9V β a 40.5% increase.
π οΈ Tools & Skills Learned
Arduino Programming
Analog sensor reading, conditional logic, servo control, code optimization
Circuit Design
Voltage divider circuits, sensor calibration, power management
3D Modeling & Printing
Designed custom brackets in Tinkercad, printed on Creality Ender 3
Testing & Measurement
Multimeter usage, voltage logging, comparative analysis
πΈ Project Gallery
Circuit assembly on breadboard
[Image Placeholder]Servo mechanism & frame
[Image Placeholder]Final assembled tracker
[Image Placeholder]Students presenting at science fair
[Image Placeholder]Real project photos coming soon. Visit our lab to see the working prototype!
π Related Innovation Projects
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