Authors :
O. B. Goodtalk; N. B. Nebo; I. Mafiana; O. E. Haruna; D. Z. Zakut
Volume/Issue :
Volume 11 - 2026, Issue 7 - July
Google Scholar :
https://tinyurl.com/mstafva2
Scribd :
https://tinyurl.com/2s4dce2t
DOI :
https://doi.org/10.38124/ijisrt/26jul053
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Conventional fixed photovoltaic (PV) panels experience reduced energy harvesting efficiency because they
cannot continuously align with the sun, while many portable solar systems require manual deployment. This paper
presents the design and development of a compact active deployable solar panel system for enhanced energy harvesting.
The proposed system employs an Arduino Nano-based embedded controller to automate panel deployment, solar tracking,
and real-time system monitoring. A servo motor is used for deployment, while LDR sensors and a motor driver enable
automatic sun tracking. Additional sensors monitor panel temperature, output current, orientation, and deployment status
to ensure reliable and safe operation. A prototype incorporating a 3.84 W photovoltaic panel was developed and
experimentally evaluated under varying solar conditions. The results demonstrate reliable deployment, accurate solar
tracking, and improved energy harvesting compared with a conventional fixed-panel system. The proposed design
provides a compact, low-cost, and intelligent solution suitable for portable photovoltaic applications and off-grid
renewable energy systems.
Keywords :
Photovoltaic System, Active Deployment, Solar Tracking, Arduino Nano, Energy Harvesting, Embedded Control.
References :
- J. A. Duffie and W. A. Beckman, Solar Engineering of Thermal Processes, 5th ed. Hoboken, NJ, USA: John Wiley & Sons, 2020.
- A. Luque and S. Hegedus, Handbook of Photovoltaic Science and Engineering, 3rd ed. Hoboken, NJ, USA: John Wiley & Sons, 2022.
- T. Markvart and L. Castañer, Practical Handbook of Photovoltaics: Fundamentals and Applications, 3rd ed. Amsterdam, The Netherlands: Elsevier, 2021.
- M. A. Green, Solar Cells: Operating Principles, Technology and System Applications. Englewood Cliffs, NJ, USA: Prentice Hall.
- S. A. Kalogirou, Solar Energy Engineering: Processes and Systems, 3rd ed. London, U.K.: Academic Press, 2020.
- H. Mousazadeh, A. Keyhani, A. Javadi, H. Mobli, K. Abrinia, and A. Sharifi, "A review of principle and sun-tracking methods for maximizing solar systems output," Renewable and Sustainable Energy Reviews, vol. 13, no. 8, pp. 1800–1818, 2009.
- S. Seme, B. Štumberger, M. Hadžiselimović, and K. Sredenšek, "Solar photovoltaic tracking systems for electricity generation: A review," Energies, vol. 13, no. 16, Art. no. 4224, 2020.
- R. Sadeghi, M. Parenti, S. Memme, M. Fossa, and S. Morchio, "A review and comparative analysis of solar tracking systems," Energies, vol. 18, no. 10, Art. no. 2553, 2025.
- R. F. Fuentes-Morales, A. Diaz-Ponce, M. I. Peña-Cruz, P. M. Rodrigo, L. M. Valentín-Coronado, F. Martell-Chavez, and C. A. Pineda-Arellano, "Control algorithms applied to active solar tracking systems: A review," Solar Energy, vol. 212, pp. 203–219, 2020.
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- A. Mellit and S. A. Kalogirou, "Artificial intelligence techniques for photovoltaic applications: A review," Progress in Energy and Combustion Science, vol. 34, no. 5, pp. 574–632, 2008.
- A. H. El Khateb, N. A. Rahim, J. Selvaraj, and M. N. Uddin, "Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking," IEEE Transactions on Industry Applications, vol. 50, no. 4, pp. 2349–2358, 2014.
- N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems. Boca Raton, FL, USA: CRC Press, 2013.
Conventional fixed photovoltaic (PV) panels experience reduced energy harvesting efficiency because they
cannot continuously align with the sun, while many portable solar systems require manual deployment. This paper
presents the design and development of a compact active deployable solar panel system for enhanced energy harvesting.
The proposed system employs an Arduino Nano-based embedded controller to automate panel deployment, solar tracking,
and real-time system monitoring. A servo motor is used for deployment, while LDR sensors and a motor driver enable
automatic sun tracking. Additional sensors monitor panel temperature, output current, orientation, and deployment status
to ensure reliable and safe operation. A prototype incorporating a 3.84 W photovoltaic panel was developed and
experimentally evaluated under varying solar conditions. The results demonstrate reliable deployment, accurate solar
tracking, and improved energy harvesting compared with a conventional fixed-panel system. The proposed design
provides a compact, low-cost, and intelligent solution suitable for portable photovoltaic applications and off-grid
renewable energy systems.
Keywords :
Photovoltaic System, Active Deployment, Solar Tracking, Arduino Nano, Energy Harvesting, Embedded Control.