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Intelligent Solar Tracking System

DOI : https://doi.org/10.5281/zenodo.18901395
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Intelligent Solar Tracking System

Sujal Khalkar

Department Of Computer Technology, College Of Diploma SNJBs HHJB Polytechnic, Chandwad, India

Gaurav Jain

Department Of Computer Technology, College Of Diploma SNJBs HHJB Polytechnic, Chandwad, India

Aditya Vare

Department Of Computer Technology, College Of Diploma SNJBs HHJB Polytechnic, Chandwad, India

Kunal Jadhav

Department Of Computer Technology, College Of Diploma SNJBs HHJB Polytechnic, Chandwad, India

Mrs. S. M. Devadhe

Lecturer,Guide Department Of Computer Technology, College Of Diploma SNJBs HHJB Polytechnic, Chandwad, India

Mr. K. S. Gharate

Student Department Of Electronics And Telecommunication College Of Engineering PCETs PCCOE COE, Pune, India

Abstract – The growing demand for renewable energy has increased the importance of maximizing solar power generation. Solar panels produce maximum energy when they are oriented perpendicular to the suns rays. However, fixed solar panels fail to maintain optimal alignment throughout the day. This project presents the design and implementation of an Automatic Solar Tracking System that continuously tracks the suns movement to improve energy efficiency.

The system uses Light Dependent Resistors (LDRs), a microcontroller, and a motor control mechanism to automatically adjust the position of the solar panel. Experimental results show that the tracking system significantly increases power output compared to stationary solar panels. The proposed system is cost-effective, energy-efficient, and suitable for residential and industrial solar applications.

Key Words: Solar Tracking System, Renewable Energy, LDR, Microcontroller, Solar Panel, Energy Efficiency

1. INTRODUCTION

Solar energy is one of the most abundant and clean sources of renewable energy . With the increasing demand for electricity and depletion of fossil fuels, solar power systems have become a vital alternative. Conventional solar panels are fixed in one direction, which limits their efficiency since the sun changes its position throughout the day.

An automatic solar tracking system improves the efficiency of solar panels by continuously adjusting their orientation to face the sun. This ensures maximum exposure to sunlight and enhances power generation. The system uses sensors and a control unit to detect the suns position and move the panel accordingly. This project focuses on designing a single-axis automatic solar tracker using simple and low-cost components.

LITERATURE SURVEY

Sr no Paper/Journal Title Published in Major Domain Area/concepts
1 Solar Tracking System: A Review International Journal of Renewable Energy (2017) Types of solar trackers
2 Automatic Solar Tracker Using LDR IOP

conference series: materials science and

engineering (2018)

Sensor-based

tracking

3 Microcontroller Based Solar Tracking System IRJET (2022) Mechanism of Li-Fi

Chart 1 :- Literature Survey

  1. PROBLEM STATEMENT

    Fixed solar panels do not maintain continuous alignment with the sun, resulting in reduced energy output. As solar radiation varies. throughout the day, a stationary panel captures only a portion of the available sunlight. This inefficiency leads to power loss and longer energy recovery time.

    So tackle this problem we implement our solution which automatically tracking sun light intensity , According to that we generate more power efficiently.

  2. OBJECTIVE OF THE PROJECT

    An automatic solar tracking system uses light sensors and a microcontroller like the Arduino Uno to detect the direction of maximum sunlight and automatically move the solar panel toward it. This system adjusts the panel throughout the day without manual effort, increasing energy output. The main aim is to design a low-cost system that consumes less power while working efficiently. It also compares the electricity produced by a fixed solar panel and a tracking solar panel to determine which one generates more power.

  3. HARDWARE REQUIREMENT
    Sr no. Name of Component/ Module Specification
    1 Microcontroller (ATmega328P) Operating voltage -5v Clock Frequency 16Mhz 8-Bit Microcontroller AVR
    2 Solar Panel Operating voltage and power -12V, 10W
    3 Servo / DC Motor Operating voltage -512V
    4 Motor Driver (L293D) Dual H-Bridge Motor Driver IC – Operating voltage – 4.5V to 36V
    5 LCD Display 16 characters × 2 lines display Operating Voltage: 5V
    6 LDR Voltage:3-5V With Dark Resistance
    7 Resistors 10k
    8 Capacitors 10µF, 100µF
    9 Power Supply 12V DC

    Chart -2: Hardware Specifications

  4. BLOCK DIAGRAM

    Diagram:-1

  5. CIRCUIT DIAGRAM

    Diagram: -2

  6. WORKING

    An automatic solar tracking system works using LDR sensors placed on both sides of the solar panel to detect sunlight intensity. When sunlight is not equal on both sensors, a voltage difference is produced. The microcontroller (such as ATmega328P) reads this difference and decides the direction of movement. The motor driver (like L293D) then runs the motor to rotate the panel toward the side with more sunlight. When both LDRs receive equal light, the panel stops. This process repeats throughout the day to maintain maximum sunlight exposure and improve energy efficiency.

  7. APPLICATIONS
    Area Description Image
    A.

    Residential Application

    Automatic solar tracking systems improve rooftop solar efficiency by continuously aligning panels with the sun. This increases power generation and reduces dependence on grid electricity, making it suitable for residential use.
    B.

    Industria l Applicati on

    In industries, solar tracking systems maximize energy output from large solar installations. They reduce operational costs and support sustainable, eco- friendly power generation.
    C.

    Agricultura l Application

    Solar tracking systems are used in agriculture for irrigation and farm operations. They provide reliable power, reduce fuel costs, and support sustainable farming practices.
  8. ADVANTAGES
    • Higher Efficiency: The panel faces the sun directly throughout the day, absorbing maximum sunlight and producing more electricity with less energy loss.
    • Automatic Operation: The system adjusts the panel automatically, reducng manual effort and saving time.
    • Cost-Effective: It is affordable to build and maintain, offering good performance at low cost.
    • Eco-Friendly: Uses clean and renewable solar energy, causing no pollution and protecting the environment..
    • Suitable for Remote Areas: Works well in rural or remote locations where regular electricity supply is not available.
  9. FUTURE SCOPE
      • Dual-Axis Tracking: Allows the panel to move east west and northsouth, keeping it directly aligned with the sun throughout the day and seasons.
      • IoT Monitoring: Enables remote monitoring and control through smartphone or computer, showing real-time data like power output and battery status.
      • AI-Based Prediction: Uses Artificial Intelligence to predict sun movement based on time and weather, allowing smarter and proactive adjustment.
      • Battery Optimization: Smart charge controllers improve charging and discharging efficiency, increasing battery life and reducing energy loss.
  10. CONCLUSION

    The automatic solar tracking system increases solar panel efficiency by maintaining maximum sunlight exposure throughout the day. Compared to fixed panels, it produces more electricity and improves overall energy utilization. This project presents a practical, low-cost, and reliable solution for renewable energy applications while supporting sustainable development and environmental protection.

  11. REFERENCES
  1. V S. Abdallah and S. Nijmeh, Two-Axis Solar Tracking System with

    PLC Control, Energy Conversion and Management, vol. 45, no. 1112,

    pp. 19311939, 2004.

  2. M. A. Al-Sabagh, Automatic Solar Tracking System for Maximum Power Generation, International Journal of Engineering Research and Technology (IJERT), vol. 3, no. 5, pp. 10211025, 2014.
  3. B. S. Raghuwanshi and R. P. Labade, Design and Implementation of Solar Tracking System, International Research Journal of Engineering and Technology (IRJET), vol. 6, no. 4, pp. 21002104, 2019
  4. Alexandru and C. Pozna, Different Tracking Strategies for Optimizing the Energetic Efficiency of a Photovoltaic System, Renewable Energy, vol. 35, no. 11, pp. 24732481, 2010.