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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Fatima Outferdine
Ibn Zohr University
Electrical & Electronics Engineering

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Implementation of a low-cost intelligent street light system using internet of things Fatima Outferdine; Khalid Cherifi; Driss Belkhiri; Brahim Bouachrine; Mohamed Ajaamoum
Indonesian Journal of Electrical Engineering and Computer Science Vol 33, No 3: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v33.i3.pp1387-1396

Abstract

In the contemporary world, science and technology are advancing swiftly to meet the growing human need for electricity. Within this framework, street lighting, serving as the most vital and ubiquitous element of urban lighting infrastructure, contributes significantly to public electricity consumption. Hence, enhancing the operational efficiency of street lamps becomes imperative to conserve energy. Nonetheless, traditional street lighting systems, being manually controlled, consuming excessive power, and entailing high installation expenses, present notable drawbacks and concerns. Leveraging the internet of things (IoT), advanced innovations automate various areas, including health monitoring, traffic management, agricultural irrigation, street lights, and classrooms. The current manual operation of street lights leads to substantial global energy waste. To address this, an integrated hardware and software solution is proposed. Practical implementation of the hardware devices employs a wireless sensor network, while the software focuses on developing an IoT application for data storage, analysis, and visualization. The proposed system enables effective monitoring of parameters such as ambient temperature, current, voltage, and energy consumption of photovoltaic street lights, which are used as an indicator of the lamp status. Using Xbee modules, a configuration by the X-CTU software is necessary to communicate between all street lights wirelessly. These Xbee modules are used as a leading technology for wireless sensor networks due to its low power and low cost. Experimental results demonstrate that the proposed system is energy-efficient and cost-effective, and further can be implemented in real street light systems.
Comparative study of the public lighting using a conventional and solar energy-case of a region in Agadir Fatima Outferdine; Farid Douslimane; Meriem Boudouane; Lahoussine Elmahni; Mohamed Ajaamoum
Bulletin of Electrical Engineering and Informatics Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i5.13372

Abstract

In this paper, we focus on the optimization of electric energy consumption in public lighting of a region in Agadir proposing the integration of renewable energy sources, especially the photovoltaic (PV). Two models have been adopted, simulated and compared with experimental results under the MATLAB/Simulink environment. The first model is devoted to the simulation of the conventional street lighting in the area supplied by the “Substation 9” in Dcheira El Jihadia in Agadir city, while the second model provides modeling and simulation of the PV powered public lighting system, as an alternative for the street lighting in the testing area. The results of simulation show that the solar street lighting system is much more economical and, moreover, it is inexhaustible and non-polluting compared to the classic street lighting.
Co-Authors Brahim Bouachrine Driss Belkhiri Farid Douslimane Khalid Cherifi Lahoussine Elmahni Meriem Boudouane Mohamed Ajaamoum