Monitoring the potential of horizontal axis wind power plants based on the internet of things

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Hartawan Abdillah, A.N. Afandi, Aripriharta, Yuni Rahmawati, Moh. Zainul Falah, Goro Fujita

2024 AIP Conference Proceedings Vol. 2926 Issue 1 Conference paper Cited by 2 Quartile

Abstract

The need for renewable energy demand is currently growing very rapidly, and this very rapid development makes the exploitation quite large, one of which is wind energy. The need for monitoring the potential of wind energy to know the speed of wind energy that blows in a location in one day. The results obtained show that the faster the wind rotation (wind turbine blades), the greater the voltage generated, namely the wind speed is directly proportional to the voltage, in the measurement at 07.00 am to 05.00 pm the lowest wind speed is 1.31 m/s with an output voltage of 12.31 VDC. and a current of 0.26 A at 08.00 am and the highest wind speed is 5.13 m/s with an output voltage of 12.73 VDC and a current of 0.29 A. © 2024 Author(s).

Affiliations

Electrical Engineering Department, Universitas Panca Marga, Yos Sudarso 107 Street, Pabean, Dringu, Probolinggo, Indonesia; Electrical Engineering Department, Universitas Negeri Malang, Semarang 5 Malang 65145 Street, Malang, Indonesia; Postgraduate Electrical Engineering Department, Universitas Negeri Malang, Semarang 5 Malang 65145 Street, Malang, Indonesia; Electrical Engineering and Electronics Department, Shibaura Institute of Technology, 3-7-5 Toyosu Street, Tokyo, Japan