Dual Axis Solar Tracking with IoT-Based Load Monitoring System
DOI:
https://doi.org/10.38032/scse.2026.4.184Keywords:
Solar Tracker, Dual-Axis, IoT, Arduino, LDR, Energy EfficiencyAbstract
This paper presents the design and implementation of a low-cost, efficient dual-axis solar tracking system integrated with an IoT-based load monitoring platform. The system utilizes Light Dependent Resistors (LDRs) to detect the sun's position, an Arduino Nano microcontroller as the central processing unit, and DC gear motors to orient a solar panel for maximum irradiance capture. A significant efficiency increase of 25-30% was observed compared to a fixed-tilt system. Furthermore, the system uses a real-time IoT module (ESP8266) to monitor electrical parameters, including voltage and current consumption of connected loads, via a web server. Data is displayed locally on a liquid-crystal display (LCD) and distantly on a customizable web dashboard. The hardware implementation, validated through practical testing, demonstrates a feasible solution for boosting solar energy harvesting and enabling smart load management, particularly in distant or resource-constrained settings.
Downloads
Downloads
Downloads
References
[1] European Telecommunications Standards Institute, "Digital Video Broadcasting (DVB): Implementation guidelines for DVB terrestrial services; transmission aspects," European Telecommunications Standards Institute, ETSI TR-101-190, 1997.
[2] G. Liu, K. Y. Lee, and H. F. Jordan, "TDM and TWDM de Bruijn networks and shufflenets for optical communications," IEEE Trans. Comp., vol. 46, pp. 695-701, June 1997. DOI: https://doi.org/10.1109/12.600827
[3] J. R. Beltran, J. L. S. Gonzalez Rubio, and C. D. Garcia-Beltran, "Design, Manufacturing and Performance Test of a Solar Tracker Made by an Embedded Control," in Proc. Electronics, Robotics and Automotive Mechanics Conference(CERMA 2007), 2007, pp. 129-134. DOI: https://doi.org/10.1109/CERMA.2007.4367673
[4] J. Rizk and Y. Chaiko, "Solar Tracking System: More Efficient Use of Solar Panels," World Academy of Science, Engineering and Technology, vol. 41, pp. 318-321, 2008.
[5] M. A. Panait and T. Tudorache, "A Simple Neural Network Solar Tracker for Optimizing Conversion Efficiency in Off-Grid Solar Generators," International Conference on Renewable Energies and Power Quality (ICREPQ’08), 2008.
[6] O. Stalter, B. Burger, S. Bacha, and D. Roye, "Integrated Solar Tracker Positioning Unit in Distributed Grid-Feeding Inverters for CPV Power Plants," in Proc. IEEE International Conference on Industrial Technology (ICIT 2009), 2009, pp. 1-6. DOI: https://doi.org/10.1109/ICIT.2009.4939694
[7] A. K. Tharamuttam and A. W. Ng, "Design and Development of an Automatic Solar Tracker," Energy Procedia, vol. 143, pp. 629-634, 2017. DOI: https://doi.org/10.1016/j.egypro.2017.12.738
[8] M. F. Fahad et al., "A Comparative Study on Single Axis and Dual Axis Solar Tracking System in Bangladesh," in Proc. of the 2019 2nd International Conference on Power and Energy Applications (ICPEA 2019), Singapore, 2019, pp. 22-26.
[9] P. I. Widenborg and G. Aberle, "Polycrystalline Silicon Thin-Film Solar Cells on AIT-Textured Glass Superstrates," Advances in OptoElectronics, vol. 2007, Article ID 24584, 2007. DOI: https://doi.org/10.1155/2007/24584
[10] R. Sadeghi et al., “A Review and Comparative Analysis of Solar Tracking Systems,” Energies, 2025. mdpi.com DOI: https://doi.org/10.3390/en18102553
[11] U. R. Eiva, “Comprehensive analysis of fixed tilt and dual-axis tracking,” Renewable Energy, 2025
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2026 Md. Abu Bakkar Sikder , Joy Barua , S. Razaul Karim Raju , Meraz Ahammed (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All the articles published by this journal are licensed under a Creative Commons Attribution 4.0 International License
How to Cite
