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Abstract

This research investigates the optimization of solar panel performance by designing and implementing a low-cost Dual-Axis Sun Tracker (DAST) for an Arduino-based Microcontroller Photovoltaic System. The primary aim is to enhance solar energy extraction by precisely aligning the panel perpendicular to the sun's position, maximizing output voltage and current efficiency compared to fixed systems. The DAST employs two micro servo motors, SG90, controlled by a specialized chronological algorithm in offline mode, ensuring strategic alignment and scheduled adjustments. A comprehensive evaluation of the DAST's performance is conducted, contrasting it with a Fixed System to underscore the advantages of solar tracking. As a result, a DAST produces higher output than a fixed system by 0.896W during sunny days and 0.206W during cloudy days. Besides, the efficiency of PV panels in the DAST is 71.65%, and fixed is 49.66% during sunny days, while DAST is 22.96% and fixed is 17.91% during cloudy days.

Keywords

Solar panel Arduino uno Tracking system Dual axis Fixed PV system

Article Details

How to Cite
Lin Fung Wong, Nabipour Afrouzi, H., & Tavalaei, J. (2024). Design and implementation of a dual-axis sun tracker for an Arduino-based micro-controller photovoltaic system. Future Technology, 3(3), 15–19. Retrieved from https://fupubco.com/futech/article/view/178
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References

  1. Ali, R, Daut, I & Taib, S 2012, 'A review on existing and future energy sources for electrical power generation in Malaysia', Renewable and Sustainable Energy Reviews, vol. 16, no. 6, 2012/08/01/, pp. 4047-4055.
  2. Singh, AK & Singh, RR 2021, 'An Overview of Factors Influencing Solar Power Efficiency and Strategies for Enhancing,' 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-6.
  3. Ayoade, IA, Adeyemi, OA, Adeaga, OA, Rufai, RO & Olalere, SB 2022, 'Development of Smart (Light Dependent Resistor, LDR) Automatic Solar Tracker,' IEEE, K. Elissa, “Title of paper if known,” unpublished.
  4. Idoko, JA, Bamgbade, OB, Abubakar, IN, Onyechokwa, TI, Adegboye, BA & Mustapha, BM 2020, 'Design of Automatic Solar Tracking System Prototype to Maximize Solar Energy Extraction,' IEEE,
  5. Bhatia, SC 2014, '4 - Solar thermal energy', in SC Bhatia (ed.) Advanced Renewable Energy Systems, Woodhead Publishing India, pp. 94-143.

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