Energy Management System Design of Iot-Based Smart Home with Renewable Resources

According to the 2011 annual report of U.S. EIA (Energy Information Administration), 37% of end use electricity in the United States is consumed in residences, indicating that the ratio of residential energy consumption is considerably high. Hence, it is necessary to design an energy management system to reduce the electricity use of residences, especially the load in peak hours. Reduction of peak demand can lead to a decrease in electric utility’s construction cost and carbon emissions. In addition, the electricity expenses of residences can also be decreased if dynamic prices are used. Accordingly, controlling the operation of home appliances based on the time of use and dynamic prices to reduce the peak demand of electricity is beneficial for both residences and utilities. This proposal intends to study the topic of smart home energy management systems. The considered smart home consists of renewable resources, energy storage system, smart appliances, smart meter, and smart energy management system that are connected using IoT (Internet of Things) technology. Energy storage system is used to store the energy generated by the renewable resources and the energy in batteries of UPS (Uninterruptable Power System) or electric vehicles. Smart home energy management system manages the electricity of the energy storage system and the power mains for efficient use, and controls the operation of home appliances according to the time of use and dynamic prices, e.g., deferring the start times of home appliances to off-peak hours, interrupting charging batteries of appliances in peak hours and even releasing the battery power to energy storage system for reducing peak demand and electricity expenses. However, the factors of comfort and convenience of users and users’ final feedbacks must also be considered. Finally, the impact of reservation scheme for home appliances on the performance of smart home energy management system will also be investigated in this project.

Project ID:PB10507-1735
External Project ID:MOST105-2221-E182-055