Design of demand management system for household heating & cooling

This paper describes a design of demand management system for household heating & cooling to reduce the energy cost and shift the peak load of power system based on real-time electricity pricing system and ZigBee monitoring network. The operating characteristics of electrical appliances and user experience are also considered. The electrical radiator is taken as an example to describe the formulation of indoor pre-heating/cooling. Mathematic model of indoor temperature has been established base on the electrical radiator and building physical model. Then a control method based on the genetic algorithm is developed to control the switching state of the electrical radiator. Considering the operating characteristics of electrical appliances and the calculating speed of onboard chips, the proposed control method reduces the times of switching operations of the electric radiator. Simulation results of buildings with and without energy saving materials indicate that the proposed control method is fast, reliable and essential Moreover, the proposed control method is also validated in a real experimental environment with an energy management platform and the Zigbee monitoring network.