Real-time based approach for intelligent building energy management using dynamic price policies

In this paper, an intelligent building is considered with schedulable household appliances. The proposed energy management system is able to reduce the cost of energy payments in the building. An optimization approach is exploited to solve the scheduling of smart appliances. To achieve the minimum cost in household appliance operation time and energy consumption, an integer linear programming that involves the operational constraints for various household appliances. The mathematical model is solved with GAMS software. Five case studies, which are carried out with fifteen smart appliances, show substantial cost savings under real-time pricing. Experimental results demonstrate that the described optimization can be used in building automation for cost savings while allowing users different levels of control on the smart appliances.