Self-Adaptive Solar Panel

Authors

M. Sangeetha
C. Jayalakshmi
K.K. Janani Shree
M. Kabila
G. Kamalika
C.V. Vasishta

DOI:

https://doi.org/10.52783/jns.v14.2473

Keywords:

Solar energy, Arduino UNO, Light Dependent Resistor (LDR), servo motor, solar tracking system, photovoltaic system, Maximum Power Point Tracking (MPPT), real-time data processing, smart grid integration, sustainability, solar optimization, tilt angle adju

Abstract

This project focuses on designing a self-adaptive solar panel system that optimizes energy efficiency by using Internet of Things (IoT) technology. The system integrates sensors, servo motors, and a microcontroller, allowing the panel to adjust its orientation dynamically in response to varying sunlight intensity and environmental conditions. Through real-time monitoring and control, enabled by an IoT platform, users can track and manage energy performance remotely. By overcoming the limitations of traditional fixed-position solar panels, this scalable solution enhances renewable energy utilization and contributes to environmental sustainability.

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References

"Renewable Energy: Power for a Sustainable Future" by Godfrey Boyle, 3rd Edition.

"Photovoltaic Systems" by James P. Dunlop, 3rd Edition.

"Solar Engineering of Thermal Processes" by John A. Duffie, William A. Beckman, 4th Edition.

Solar Energy Industries Association (SEIA): https://www.seia.org/

National Renewable Energy Laboratory(NREL): https://www.nrel.gov/

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Published

2025-03-22

How to Cite

Sangeetha M, Jayalakshmi C, Janani Shree K, Kabila M, Kamalika G, Vasishta C. Self-Adaptive Solar Panel. J Neonatal Surg [Internet]. 2025Mar.22 [cited 2025Oct.10];14(7S):700-7. Available from: https://mail.jneonatalsurg.com/index.php/jns/article/view/2473

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Issue

Vol. 14 No. 7S (2025): Journal of Neonatal Surgery

Section

Original Article

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