Solar-wind power generation system for street lighting using Internet of Things

Hossain, Jahangir and Abdul Kadir, Aida Fazliana and Algeelani, Nasir Ahmed and Hamood Al-Masoodi, Ahmed Hasan (2022) Solar-wind power generation system for street lighting using Internet of Things. Indonesian Journal of Electrical Engineering and Computer Science, 26 (2). pp. 639-647. ISSN 2502-4752

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Abstract

Every country is subsidising millions of dollars for street lighting as those are connected to the grid. Besides, the generation of electricity comes from fossil fuels with emissions of carbon dioxide (CO2). Therefore, alternative generation of electricity can be done by using a hybrid system. Solar energy starts as the day begins, and the wind is accessible on the streets with a to-and-fro motion of the car. It does not rely on any factor. This hybrid system generates 12 V direct current (DC), whereas no alternating current (AC) converters are used, resulting in a reduction the system's cost. The control system was constructed based on internet of things (IoT) and included the most sophisticated battery charging system to improve the battery's cells' life cycle. The hardware system has been simulated using easy electronic design automation (EasyEDA) and incorporated with the printed circuit board (PCB) design. The prototype is constructed alongside collected data to compare with the theoretical basis towards net-zero energy street lighting (nZESL). The prototype was able to lead to nZESL and backup stability of the system is 10 hours per day, along with the validation of theoretical analyses and effectiveness of the system. The system has the potential to make a significant contribution to lowering CO2 emissions and government subsidies for street lighting.

Item Type:	Article
Uncontrolled Keywords:	Battery, Easy electronic design automation, Internet of Things, Net zero energy street lighting, Solar-wind
Divisions:	Faculty of Electrical Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	28 Mar 2023 14:13
Last Modified:	28 Mar 2023 14:13
URI:	http://eprints.utem.edu.my/id/eprint/26373
Statistic Details:	View Download Statistic

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