Adaptive Scheduling Algorithm for Centralised Building Energy Management System

Abstract

Electricity is an inevitable part of human being now and all the systems are being converted to function with electric energy. The usage of energy is increasing day by day. So Conservation of energy still persists as a challenging task. More low power devices are being developed, but implementation of these systems are very expensive. In this paper, a new energy management system (E-mats) is presented to reduce the wastage of electricity in building automation. A scheduling mechanism is proposed to control and operate the devices as per its parameters. This system is designed with low power components and it also empowers the usage of renewable energy sources. It measures the usage of electricity by device wise. E-mats present software and hardware controlled operating mechanism with a scheduling algorithm. The user can also configure the operation by setting a schedule. Observe, Learn, and Adapt (OLA) algorithm is used for the scheduling mechanism. The proposed hardware model is designed with the sensors like motion sensor, ultra sound sensor, LDR sensor, temperature sensor, ZigBee, RTC. All the components in the system are labeled with a unique digital address. The system has been successfully tested and shows that it can save up to 20% of power with renewable energy source and 40% up to non-renewable source.