Rahman, Md. Arafatur and Mukta, Marufa Y. and Yousuf, Abu and Asyhari, A. Taufiq and Bhuiyan, Md. Zakirul Alam and Che Yahaya, Yaakub (2020) IoT based Hybrid Green Energy Driven Highway Lighting System. In: IEEE DASC-PICom-CBDCom-CyberSciTech 2019 , 5-8 August 2019 , Fukuoka, Japan. pp. 587-594.. ISBN 978-1-7281-3024-8
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Abstract
The worldwide concern to mitigate the soaring energy crisis introduces us to the small-scale renewable energy generation as a preferred enabling source for highway lighting. However, the extensive cost and performance inconsistency of the pure solar panel based solutions further motivate efforts in designing a hybrid energy solution for highway lighting in which Internet of Things (IoT) is envisioned to play a pivotal role in controlling multiple energy sources to provide an effective environment for such a small-scale application context. This paper proposes an IoT-enabled intra-network solution to organize the energy sources for improving the battery performance in a hybrid energy driven highway lighting system. More specifically, we consider the solar panel and Vertical Axis Wind Turbine (VAWT), which utilizes energy from the aerodynamic losses produced by vehicles in the highways, as two main sources for energy generation. This hybrid system allows for generating uninterrupted energy by solar during the day and by VAWT at all day and night times whenever a vehicle passes the lamppost. For maximum effectiveness, a micro-controller is employed in this system to sense the internal requirements for utmost performance. A test-bed prototype is developed to evaluate the performance of the proposed system over a pure solar based lighting system via a projected cost analysis. The result demonstrates withdrawal of solar dependency followed by a less energy requirement in the hybrid lighting system according to different busyness level of the highway
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, 17th International Conference on Pervasive Intelligence and Computing, 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress (DASC-PICom-CBDCom-CyberSciTech 2019) |
| Uncontrolled Keywords: | IoT, Highway Lighting System, Green Energy |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Centre of Excellence: IBM Centre of Excellence Institute of Postgraduate Studies Faculty of Computing |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 13 Jul 2020 03:56 |
| Last Modified: | 13 Jul 2020 03:56 |
| URI: | http://umpir.ump.edu.my/id/eprint/28771 |
| Download Statistic: | View Download Statistics |
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