Wind Characterization By Three Blade Savonius Wind Turbine Using IoT

Author:

Liew H F,Rosemizi Abd R,Aihsan M. Z.,Muzamir I,Baharuddin I

Abstract

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.

Publisher

IOP Publishing

Subject

General Medicine

Reference26 articles.

1. Wind turbine monitoring and control systems using Internet of Things;Kalyanraj,2016

2. Experimental Comparison Study for Savonius Wind Turbine of Two & Three Blades At Low Wind Speed;Ali;International Journal of Modern Engineering Research (IJMER),2013

3. Power Generation by Vertical Axis Wind Turbine;Niranjana;International Journal of Emerging Research in Management &Technology,2015

4. Condition monitoring of wind turbine: Technique and methods;Garcia Marquez;Renewable Energy Elsevier,2012

5. Self-healing strategy for wind turbine condition monitoring system based on wireless sensor networks;Zhixin,2016

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