Wind Characterization by Three Blade Savonius Wind Turbine Using IoT

13Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Fuel has become one of the vital energy in our life and reserves on the earth is lessened years by years. However, still wind that is renewable resource which is clean energy that can replaced a fuel. In this paper, novel idea to monitor the environmental condition and working conditions are characterized by using the small three blade Savonius wind turbines with Internet of Things (IoT) is proposed. Therefore, in terms of characterization, controlling and monitoring the status of wind turbine systems are recommended from anywhere in the world using Internet of Things (IoT) technology. In all repair work, this system is declared with IoT application and ESP 8266 to monitor, capture and diagnose problems in wind turbine. This allows the user to have a remote control mechanism remotely via secure internet web connection. This system helps users control energy sources, manually and remotely using smartphones or personal computers. This work is related to the transmission of data between two units in a timely and fast time without any disturbance. Wind turbine performance has a number of factors which determine its reliability. Next, a system for analyzing the data resulting from the rotation of the wind turbine from a distance is needed so that the study can take place at any time. The parameters that been measured using ESP8266 is voltage, current, power and wind speed. When turbine generate electric, it will display the output by thinkspeak. Various challenges, material of wind turbine and methods for condition monitoring were discussed and the results were analyzed with statistical measures and compared with its standard values.

Cite

CITATION STYLE

APA

Liew, H. F., Rosemizi, A. R., Aihsan, M. Z., Muzamir, I., & Baharuddin, I. (2020). Wind Characterization by Three Blade Savonius Wind Turbine Using IoT. In IOP Conference Series: Materials Science and Engineering (Vol. 932). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/932/1/012080

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free