Cloud based energy management in buildings using IoT for efficient use of utility power

Abstract

This research work introduces a novel human detection sensor on an IoT node to increase the efficiency of sensing human beings in a building, it also provide power management and control since Nigeria supply far less than what was actually demanded, based on the power baseline report submitted to the office of the vice president in 2015, which stated that only 10% of the power demanded was supplied, these couple with the fact that energy wastage is rampant in the country. This thesis presented an efficient energy management in buildings using the Internet of Things (IoT) by constructing an IoT-based human detection system and an IoT-based power management and control system. The power management and control IoT board make use of a contactless current sensor, which makes the installation far easier, as much literature uses either the series resistance method or the current transformer method for sensing flow of current through a given load. The prototype was successfully implemented, installed, and tested, the system was developed to run in the real world and several data was generated. Based on the data generated and analyzed the system was found to have 38% energy savings since the load is always automatically off when no human being is in the office that it was installed.