This paper presents a comprehensive review of single-axis solar tracking systems, analyzing their impact on photovoltaic efficiency. By examining various tracking mechanisms, including sensor-based and preprogrammed control strategies, the study highlights advancements in tracking accuracy, energy optimization, and system reliability. A comparative analysis with fixed-panel systems underscores the efficiency gains and practical challenges associated with single-axis tracking. The review further explores improvementsinmotor control, sensor integration, andpower management, providing insightsforfuture advancements in solar energy harvesting
Introduction
Introduction:
Solar energy is a promising renewable alternative to fossil fuels. However, fixed solar panels have limited efficiency due to their static position. Single-axis solar tracking systems address this by adjusting the panel’s tilt based on sunlight direction, improving energy yield by 20–30%.
System Overview:
Components:
LDR Sensors: Detect sunlight intensity from different directions.
Arduino UNO: The system’s brain; processes LDR input and controls panel movement.
Motor Driver (L298N): Acts on Arduino signals to rotate the motor.
Geared Motor: Adjusts panel orientation with torque-efficient rotation.
Solar Panel (30W Polycrystalline): Converts sunlight into electricity.
Charge Controller: Regulates battery charging and protects from power fluctuations.
PWM Controller: Modulates motor speed based on signal duty cycle.
Power Supply & Protection: Includes fuses, diodes, grounding, and optional relays for safety.
Working Principle:
LDRs are placed on either side of a barrier. If one receives more light, it causes a voltage imbalance.
The Arduino processes this difference and sends a signal to the motor driver, which rotates the geared motor.
The motor adjusts the panel toward the brighter side until both LDRs detect equal light—ensuring optimal sun alignment.
This closed-loop feedback system enables continuous real-time tracking from dawn to dusk.
Advantages:
Increased solar energy capture.
Automated and cost-effective.
Real-time adjustment using simple components.
Suitable for residential and commercial use.
Software Implementation:
A simple flowchart logic is used:
Read light levels from LDRs.
Compare values.
Rotate panel toward the sensor with more light.
Stop movement when light levels are balanced.
Conclusion
The developed single-axis solar tracking system successfully enhances the efficiency of solar energy capture by dynamically adjustingthepanel\'sorientationbasedonsunlightintensity.The integration ofLDRsensors,Arduino UNO, and ageared motor enables precise tracking, ensuring maximum power generation compared to a fixed solar panel. The system operates in two modes—fixed incremental rotation and real-time LDR-based tracking—offering flexibility in implementation. The experimental results demonstrate that the tracking mechanism significantlyimprovesenergyoutput,makingitacost-effective and practical solution for renewable energy applications.
Futurescopeofthisprojectincludes:
• Upgradeto dual-axistrackingforhigher efficiency.
• IntegrateIoTforremotemonitoringandcontrol.
• UseAIforreal-timeoptimizationoftrackingangles Implement.
References
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[2] M.Johnson,K.Lee\"PerformanceAnalysisofSingle-Axis SolarTrackersunderDifferentWeatherConditions\"ScienceDirect-RenewableEnergy Journal,2022
[3] L. Fernandez, T. Singh \"Microcontroller-Based Single- Axis Solar Tracking System for Enhanced Energy Efficiency\" International Journal of Smart Grid, 2023
[4] R. Gupta, P. Verma \"Artificial Intelligence-Based OptimizationofSingle-AxisSolarTrackingSystems\"Elsevier-EnergyReports,2023
[5] S.Brown,A.Das\"ComparativeStudyofFixedvs.Single- AxisSolarTrackersinDifferentGeographicLocations\"IEEEAccess, 2022
[6] H. Mehta, C. Yadav \"Arduino-Based Solar Tracking System with IoT Monitoring\" ResearchGate - Smart Energy Systems, 2023
[7] B. Wilson, N. Kumar \"Optimization of Single-Axis Solar Tracking Using PID Control Algorithm\" Springer - Energy Efficiency Journal, 2023
[8] T. Chen, D. Roy \"Development of a Solar Tracking System Using Fuzzy Logic Control\" IEEE Transactions on Control Systems, 2022
[9] M. Thomas, G. Nair \"Solar Tracker with MPPT AlgorithmforImprovedEnergyHarvesting\"Elsevier-Solar Energy Materials and Solar Cells, 2023.
[10] K. Sharma, V. Banerjee \"A Study on Dual vs. Single- AxisSolarTrackingSystemsforGrid Integration\" IEEE Transactions on Smart Grid, 2023
[11] Md.TaslimMahmud Bhuyain \"DesignandDevelopment of a Single-Axis Solar Tracking System,\" InternationalMultidisciplinaryResearch,ResearchGate,2021.