Internet of Things for Survey of Renewable Energy Potential (SREP) as the Basis for Hybrid Power Plant Development
1 Electronics Engineering Education Department, Yogyakarta State University, Karangmalang, Yogyakarta 55281, Indonesia
2 Informatics Engineering Education Department, Yogyakarta State University, Karangmalang, Yogyakarta 55281, Indonesia
In the future, microhybrid power plant for the household scale will be something that the people want. The obstacle that is faced by the developers in micro hybrid plant development is the lack of a preliminary study. If a preliminary study is not possible, at least the developer should conduct a potential survey to determine the place where the plant will be installed. Optimal position for the hybrid power plant can be obtained through a continuous mapping at some point during the season span. This study uses research and development procedures of the internet of things (IoT) for its purpose of survey of renewable energy potential. The aim of this study is to obtain the real time data of the potential of renewable energy with the help of the IoT. Internet of things which is developed using Airlink FXT009 EDGE is operated via serial communication. Modem Airlink FXT009 is controlled by ATmega328 microcontroller which received its data from the sensor network. The database which is processed by IoT consists of wind velocity, wind direction, output voltage, and stationidentity. The research shows that the average of wind velocity during April-September is 3.2 m/s and the output voltage is 13.3V. On the other hand, during October-March the wind velocity is 5.3m/s, and the average output voltage at 10:00-14:00 is 10.2V with the average of speed and data updates is per 75.34 seconds. This study is limited to the ATmega328 microcontroller as the processor and need to be developed towards a mini PC.
Key words: internet of things (IoT) / energy potential survey / hybrid power plant / ATMega328
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.