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All Journal Jurnal Rekayasa Mesin Journal of Mechanical Engineering and Applied Technology Journal of Mechanical Engineering and Fabrication
Elfrida Rizky Riadini
Politeknik Negeri Semarang
Automotive Engineering Control & Systems Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Journal of Mechanical Engineering and Fabrication

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Solar radiation monitoring system for electric vehicle charging using solar modules based on the Internet of Things Herlambang, Yusuf Dewantoro; Huda, Muhamad Nurul; Antoro, Daffa Yudha Akbar Putra; Ghozali, Hanif Faizal; Setyawan, Martando Robby; Apriandi, Nanang Apriandi; An-Nizhami, Avicenna; Yanuar, Padang; Riadini, Elfrida Rizky; Marliyati, Marliyati
Journal of Mechanical Engineering and Fabrication Vol. 2 No. 1 (2025): Maret
Publisher : Journal of Mechafa Engineering and Fabrication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64273/jmef.v2i1.17

Abstract

The utilization of solar energy to support electric vehicle charging still faces challenges related to efficiency and real-time solar radiation monitoring. Addressing this issue is critical given the importance of optimizing renewable energy to facilitate the transition toward sustainable transportation. This study offers a solution through the development of an Internet of Things (IoT)--based solar radiation monitoring system capable of measuring solar light intensity in real time. The system employs a BH1750 sensor integrated with an ESP32 microcontroller to process data, transmit it to the Firebase Realtime Database, and display it via an Android application. The methodology encompasses the design, implementation, and testing of the system on an electric vehicle placed in an open area for 10 hours of observation. Results indicate that the highest light intensity, recorded at 98,321 lux, corresponded to solar radiation of 776.74 W/m², while the lowest light intensity, 69 lux, resulted in radiation of 0.55 W/m². The implications of this research include enhanced efficiency in electric vehicle charging, the advancement of IoT-based solar energy systems, and the potential integration with energy storage technologies and predictive algorithms to improve energy sustainability.
Co-Authors An Nizhami, Avicenna Antoro, Daffa Yudha Akbar Putra Apriandi, Nanang Apriandi Atikah Ayu Janitra Bambang Sumiyarso Ghozali, Hanif Faizal Huda, Muhamad Nurul Ignatius Gunawan Widodo Marliyati Marliyati, Marliyati Nanang Apriandi Nanang Budi Sriyanto Padang Yanuar Padang Yanuar Setyawan, Martando Robby Showi Nailul Ulum Timotius Anggit Kristiawan Trio Setiawan Yusuf Dewantoro Herlambang