Optimizing Solar Streetlight Systems for Sustainable Urban and Community Development

L. W. Jun, S. N. Zabri, N. S. Mohd Kassim and S. Y. Mohamad
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L. W. Jun: Centre for Telecommunication Research & Innovation (CeTRI), Faculty Technology dan Kejuruteraan Elektronik dan Computer (FTKEK), University Technical Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
S. N. Zabri: Centre for Telecommunication Research & Innovation (CeTRI), Faculty Technology dan Kejuruteraan Elektronik dan Computer (FTKEK), University Technical Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
N. S. Mohd Kassim: Centre for Telecommunication Research & Innovation (CeTRI), Faculty Technology dan Kejuruteraan Elektronik dan Computer (FTKEK), University Technical Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
S. Y. Mohamad: Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia.

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 9, 1981-1990

Abstract: Solar streetlight systems, powered by photovoltaic panels, are increasingly adopted as sustainable alternatives to conventional streetlights due to their environmental, economic, and operational advantages. They reduce dependency on non-renewable energy, lower electricity costs, and extend system lifespan, making them highly relevant for urban and community development. Despite these benefits, their efficiency and feasibility are often constrained by battery size and weight. Large batteries not only increase material and installation costs but also demand specialized handling equipment, which complicates deployment and maintenance. Addressing this challenge requires an optimized approach that balances performance with cost-effectiveness. This study presents the design and evaluation of a solar streetlight system incorporating an optimized battery size supported by improved energy management strategies. The research involved determining the optimal tilt angle of the solar panel to maximize power generation under varying environmental conditions. Additionally, a smart LED control algorithm was developed to minimize energy consumption by dynamically adjusting light output based on demand and availability of stored energy. Through these enhancements, the system effectively reduced energy wastage, leading to the identification of the most efficient and practical battery capacity. The findings demonstrate that optimizing both energy generation and consumption not only reduces reliance on oversized batteries but also lowers installation complexity and costs. Such advancements highlight the potential of solar streetlight systems as scalable, sustainable solutions for urban and community development. Ultimately, the proposed approach contributes to promoting greener infrastructure while ensuring long-term reliability and affordability of public lighting systems.

Date: 2025
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