Green Highways: Harnessing Renewable Energy for Sustainable Power Generation with IoT Monitoring
DOI:
https://doi.org/10.61841/86rkvx39Keywords:
Dual Power Generation, Renewable Energy Integration, IoT Monitoring, Sustainable ElectricityAbstract
In today's modern world, electricity plays a paramount role in our day-to-day existence. However, the stark reality is that our non-renewable energy sources are depleting at an alarming rate. Consequently, there is an urgent need to shift our focus from conventional energy sources to non-conventional, sustainable alternatives for electricity generation. The Dual Power Generation system represents an innovative solution that integrates both solar and wind energy plants, offering a reliable and uninterrupted power supply.
This system capitalizes on the power of the wind, harnessing the pressure created by moving vehicles to rotate windmill blades and generate electricity. The wind turbulence experienced on highways is directly influenced by factors such as the size and speed of automobiles and the frequency of traffic. Simultaneously, the system taps into another abundant and free energy source, solar power generation. Solar panels are strategically positioned on dividers, enabling them to capture energy from sunlight during the day and even from vehicle headlights during the night.
To ensure efficient operation and monitoring of both energy sources, a sensor network is employed, and the generated data is seamlessly uploaded to the cloud through the Internet of Things (IoT) technology. This dual approach not only addresses the growing energy demand but also promotes sustainability by reducing our reliance on depleting nonrenewable resources. It represents a visionary step towards a greener and more sustainable energy future.
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1. Abdullah, S. H. Yusoff, S. A. Zaini, N. S. Midi, and S. Y. Mohamad, “Energy efficient smart street light for smart city using sensors and controller,” Bulletin of Electrical Engineering and Informatics, vol. 8, no. 2, pp. 558–568, Jun. 2019, doi: 10.11591/eei.v8i2.1527.
2. R. V. Sulochana, “A Survey on Power Generation in Wind Turbines by PMSG Generator,” International Journal for Research in Applied Science and Engineering Technology, vol. 7, no. 11, pp. 930–936, Nov. 2019, doi:10.22214/ijraset.2019.11157.
3. H. Chen, L. Li, A. Lange, and F. Küçükay, “Innovative Dedicated Hybrid Transmission Concepts in the Next Generation of Hybrid Powertrains,” SAE International Journal of Alternative Powertrains, vol. 8, no. 1, Sep. 2019, doi: 10.4271/08-08-01-0005.
4. X. Gong and M. Kulkarni, “Design optimization of a large-scale rooftop photovoltaic system,” Solar Energy, vol. 78, no. 3, pp. 362–374, Mar. 2005, doi: 10.1016/j.solener.2004.08.008.
5. N. A. Zainal, Ajisman, and A. R. Yusoff, “Modelling of Photovoltaic Module Using Matlab Simulink,” IOP Conference Series: Materials Science and Engineering, vol. 114, p. 012137, Feb. 2016, doi:10.1088/1757-899x/114/1/012137.
6. K. Kutkowski, “Comparison of ability to numerical modeling of photovoltaic cells in the Matlab Simulink and Scilab Xcos environments,” Mechanik, no. 7, pp. 744–746, Jul. 2016, doi: 10.17814/mechanik.2016.7.154.
7. Kodali Ravikishore and Subbachary Yerroju, "Energy efficient smart street light," 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pp. 190-193, 2017.
8. Roy Bilam, Aditya Acharya, Tanmoy K. Roy, Sudip Kuila, and Jayita Datta, "A smart street-light intensity optimizer," 2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT), pp. 1-4, 2018.
9. Parkash, V Prabu, and Dandu Rajendra, "Internet of Things-Based Intelligent Street Lighting System for Smart City," International Journal of Innovative Research in Science, Engineering, and Technology, vol. 5, no. 5, pp. 7685-7691, 2016.
10. J.S. Awati and V.S. Patil, "Automatic Irrigation Control by Using Wireless Sensor Networks," Journal of Exclusive Management Science, vol. 1, no. 6, pp. 1-7, June 2012.
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