Design of IOT Based Energy Management System Using Cloud Computing Platform | India Science, Technology & Innovation

Research

Title :	Design of IOT Based Energy Management System Using Cloud Computing Platform
Principal Investigator :	Dr. Aftab Alam, Birla Institute Of Technology, Mesra
Timeline Start Year :	2019
Timeline End Year :	2022
Contact info :	aftabalam5555@bitmesra.ac.in
Equipments :	Power Diode MOSFET Driver Wifi Module Inductor IGBT Module Driver High Ampere Current Transducer Real time controller Discrete IGBT Driver Discrete Device Heat sink Discrete IGBT Battery Heat Sink Resistor IGBT Module ANALOG TO DIGITAL CONVERTER Low Ampere Current Transducer Ultra fast recovery Diode Data Acquisition Card Wifi enabled microcontroller Microcontroller Programmable DC power supply SD Card Slot Voltage transducer

Details

Executive Summary :

The problems of optimal utilization of multiple renewable energy sources along with Grid can be very effectively addressed with the powerful combination of the latest internet of things (IoT) technology and cloud computing platform. Here IOT can be utilized for uploading the data of electrical parameters to an encrypted third-party cloud server using UDP/HTTP/BLE protocols. These data uploading mechanism does not require any local server. These data can be processed using an adaptive optimization algorithm on a cloud server to determine the percentage of utilization in order to maximize exploitation of RES and minimize power intake from the utility grid. Therefore, this project proposes an EMS, based on cloud computing with the help of IOT based input data. The cloud computing-based platform makes the data available from any remote station around the globe. A worldwide utilization this method will not only be able to control the power flow from various sources but it will also create a large data log of availability of different RES which will further enable for a precise prediction of RES based generation capacity in near future which will open the doors for enhanced artificial intelligent based data analysis and control action to be taken.