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Mrs.V.Revathi, Sri Dharani N, Sivanya N, Sridhar Iyan R, Srikanth K
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Page No: 1 - 13
Abstract : Solar Tracking Management System designed to enhance the efficiency of solar panels by dynamically adjusting their position to align with the sun's movement. The system utilizes an ESP32 microcontroller, Light Dependent Resistors (LDRs), and a servo motor to achieve precise solar tracking based on sunlight intensity. Solar Tracking Management System aimed at maximizing the efficiency of solar panels by automatically adjusting their orientation to follow the movement of the sun. The system employs an ESP32 microcontroller, Light Dependent Resistors (LDRs), and a servo motor to perform accurate solar tracking depending on the intensity of sunlight. The LDR sensors identify changes in light, allowing the servo motor to adjust the solar panel for maximum energy harvesting. The system features a dual-axis solar tracking system, utilizing light-dependent resistors (LDRs) as solar irradiance sensors and servo motors for dynamic photovoltaic panel orientation adjustment to achieve the best incident angles of sunlight. A microcontroller-based embedded system controls the real-time tracking algorithm and energy management system, battery energy storage system, direct load utilization, and excess energy handling.
Keyword: solar tracking management, solar panel, sun’s movement, microcontroller, light dependent resistors (LDRs), servo motor, sunlight intensity, orientation, servo motor, energy harvesting, voltage, real –time, Blynk app, remote monitoring
Reference:

1. E. Kabir, P. Kumar, S. Kumar, A. A. Adelodun, and K.-H. Kim, “Solar energy: Potential and future prospects,” Renewable Sustain. Energy Rev., vol. 82, Part 1, pp. 894–900, 2018.
2. V. Devabhaktuni, M. Alam, S. S. S. R. Depuru, R.C.Green II, D. Nims, andC.Near,“Solarenergy:Trendsandenablingtechnologies,”Renewable Sustain. Energy Rev., vol. 19, pp. 555–564, 2013.
3. D. Herring. (Oct. 29, 2020). What Can we do to Slow or Stop Global Warming? NOAA Climate. Accessed: Dec. 18, 2020. [Online].Available:https://www.climate.gov/newsfeatures/climate-qa/what-can-we-do slow-or-stop-global-warming.
4. A. Masih and I. Odinaev, Performance comparison of dual axis solar tracker with static solar system in Ural region of Russia, in Proc. Ural Symp. Biomed. Eng., Radioelectron. Inf. Technol. (USBEREIT), Apr. 2019, pp. 375378, doi: 10.1109/USBEREIT.2019.8736642.
5. G. K. Singh, “Solar power generation by PV(photovoltaic)technology:Areview,”Energy, vol. 53, pp. 1–13, May 2013.
6. A. Awasthi et al., “Review on sun tracking technology in solar PV system,” Energy Rep., vol. 6, pp. 392–405, Nov. 2020.
7. M.Kanoglu, Y. A. Çengel, and J. M. Cimbala, ‘‘Introduction to renewable energy,’’ in Fundamentals and Applications of Renewable Energy, 1st ed. New York, NY, USA: McGraw-Hill, 2020, pp. 1–15.
8. Deepa, R., Karthick, R., Velusamy, J., & Senthilkumar, R. (2025). Performance analysis of multiple-input multiple-output orthogonal frequency division multiplexing system using arithmetic optimization algorithm. Computer Standards & Interfaces, 92, 103934.
9. Senthilkumar Ramachandraarjunan, Venkatakrishnan Perumalsamy & Balaji Narayanan 2022, ‘IoT based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques’, in Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 2853-2868
10. Senthilkumar, Dr.P.Venkatakrishnan, Dr.N.Balaji, Intelligent based novel embedded system based IoT Enabled air pollution monitoring system, ELSEVIER Microprocessors and Microsystems Vol.77, June 2020