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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Mechanical Engineering Science and Technology Jurnal Maneksi (Management Ekonomi Dan Akuntansi) Cakrawala Repositori Imwi
Filbert, Filbert
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : Journal of Mechanical Engineering Science and Technology

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Study of a Remote Wind Resource Assessment System Integrated with Internet of Things Arbiyani, Filian; Filbert, Filbert; Theo, Anthony Nathanael
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i12024p215

Abstract

Wind energy is an emerging and popular source of clean energy due to its non-polluting nature and low cost. The efficient use of wind energy requires accurate and precise wind parameter measurements, which is where wind resource assessment (WRA) comes into play. The IoT and cloud-based systems have been applied to remote monitoring systems and provide crucial solutions for data acquisition, storage, and analytics in wind energy technology. This study aims to build a remote WRA system integrated with the Internet of Things. This study utilizes an Arduino Uno microcontroller, RK100-01 wind speed sensor, BMP280 temperature and pressure sensor, and SIM800L GPRS module to collect and transfer real-time data to the ThingSpeak cloud. The experiment was conducted at Atma Jaya Catholic University of Indonesia - Campus 3 BSD with the remote WRA system installed inside Stevenson screens to protect it from environmental conditions. Wind speed data is measured at a height of 10 meters, while air pressure and temperature data are measured at a height of 1.5 meters. Data retrieval utilizes two methods, viz. direct measurement every 15 minutes, and cloud-based retrieval every 30-second intervals. The study demonstrates that a remote WRA system integrated with IoT can measure, display, and upload three crucial parameters for assessing wind energy potential, namely wind speed, air pressure, and air temperature. This remote WRA system also provides flexibility in real-time data collection since it is accessible anytime and anywhere, thereby reducing the need for site visits during deployment.
Co-Authors Ferry Hidayat Filian Arbiyani Gunawan Gunawan Latersia Br Gurusinga Lubis, Nurul Wardani Michelle , Michelle Purba, Mas Intan Purba, Rizki Azzura Saifani Sinaga, Frans Mikael Sunaryo Winardi Tanidi, Davin Theo, Anthony Nathanael