IOT based controlling of hybrid energy system using ESP8266

In this paper, authors have focused on controlling of hybrid energy system using IOT. There is various combination of energy and all of them are alternative to each other like solar energy, wind energy, bio fuel, fuel cell, etc. But the need of controlling of hybrid energy system arises when it is installed for domestic or commercial purpose. At this point IOT plays an important role in controlling system. The main criteria being switching between the two sources of energy i.e. solar and wind energy without any inconvenience through a website using ESP8266 Wi-Fi module. The data is transmitted wirelessly through website to ESP8266 module which controls the sources of energy. The transmitted data is controlled remotely using IOT. This enables user to have flexible control mechanism remotely through a secured internet web connection. This system helps the user to control the sources of energy, manually and remotely using smart phone or personal computer. This system is very efficient, cheaper and flexible in operation.

[1]  Anupam Majumdar,et al.  Data centre temperature monitoring with ESP8266 based Wireless Sensor Network and cloud based dashboard with real time alert system , 2017, 2017 Devices for Integrated Circuit (DevIC).

[2]  Prasanna Nambiar,et al.  Vertical axis wind turbine , 2015, 2015 International Conference on Technologies for Sustainable Development (ICTSD).

[3]  Pallavi Ravindra Joshi,et al.  IOT Based Smart Power Management System Using WSN , 2017 .

[4]  Stefano Giordano,et al.  Antennas and photovoltaic panels: Toward a green Internet of Things , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

[5]  M. Balamurugan,et al.  Smart Power Monitoring and Control System through Internet of things using Cloud Data Storage , 2015 .

[6]  Ivo Palu,et al.  Modelling of solar-wind hybrid renewable energy system architectures , 2016, 2016 IEEE International Energy Conference (ENERGYCON).

[7]  Jong-Bae Kim,et al.  Smart City Implementation Models Based on IoT Technology , 2016 .