Internet of Energy: A Design to Manage Energy Consumption for Off-Grid Building

Abstract: This article offers an Internet of thing (IoT) based energy management system, that provide an automation concept and completely control the consumed energy by observing the delivered power from a limited and/or unreliable power sources. An example for such sources are photovoltaic and wind renewable energy where the supplied power depends on the weather conditions which make it fluctuated and unreliable. The proposed system offers a complete solution to reduce the consumed power based on the available power with less affecting on the quality of life. This article presents a cloud computing master unit that communicates with all the building devices via WIFI network nodes. These nodes are responsible for calculating the consumed energy by each connected device and deliver this information to the cloud. The system enables the user to schedule the devices’ levels of priority in a list, priority list. The master controller unit calculates the available power based on instantaneous supplied power from the source, stored energy, weather prediction, and priority list, then make a decision to keep all the devices powered on or shut down some of them for a while according to the list.This article presents an Internet of thing (IoT) system, which offers a complete energy consumption, monitoring and control. There is a master controller which is a website built with Ajax software to communicate with all the building devices (via a wireless router) which connected to Wi-Fi nodes (ESP8266 nodes) to calculate the consumed energy from each device and compare it with the fluctuated produced energy. The system is designed to keep the consumed energy, lower than the produced energy. This can be achieved by making the user take the decision and divides the building devices into three different priorities (High, Medium and Low). The presented system follows a strategy to reduce the load according to the available power and the device priority. This work is licensed under a  Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .