Abstract
With the prevalence of building automation and Internet-of-Things technologies, home energy management has become an active area in recent years. This paper proposes an integrated, multi-objective Home Energy Management System (HEMS), which optimally schedules controllable electric household appliances to balance three objectives: 1) home energy cost; 2) the occupant’s use satisfaction of controllable appliances; and 3) the occupant’s thermal comfort. In particular, the HEMS models the coupling operational relationship between the non-thermostatically controlled appliances and the air conditioner by investigating the impact of heat gains released by the appliances on the indoor temperature. An advanced multi-objective optimizer is applied to solve the home energy management model. Simulations are conducted to validate the proposed method.
Highlights
Modern buildings are characterized by the penetration of renewable energy sources, Internet-ofThings (IoT) facilities, and building automation technologies
For the schedule of the ith time shiftable appliances (TSAs) (i 1: Ntsa) that is determined by the home energy management systems (HEMSs), we propose to model the occupant’s use dissatisfaction on it (Dtisa) as a normalized value: Dtisa
The model is formulated as a 3-objective optimization problem, in which the HEMS determines the schedules of the controllable appliances to balance the three aspects of considerations in a smart home environment: (i) the home energy cost; (ii) the occupant’s use satisfaction for TSAs and
Summary
Modern buildings are characterized by the penetration of renewable energy sources, Internet-ofThings (IoT) facilities, and building automation technologies. To overcome the aforementioned limitations of the existing work, the HEMS incorporates a new occupant satisfaction representation method, which uses nonlinear models and adjustable parameters to represent the occupant’s comfort degree when subject to the operation of the different categories of appliances. The developed HEMS links the heat gain produced by the appliances’ operations with the building’s thermal model to implement integrated scheduling for the AC and other appliances by simultaneously considering the household’s energy performance and the occupant’s dwelling satisfaction. The model is formulated as a 3-objective optimization problem, in which the HEMS determines the schedules of the controllable appliances to balance the three aspects of considerations in a smart home environment: (i) the home energy cost; (ii) the occupant’s use satisfaction for TSAs and PAAs; and (iii) the occupant’s indoor thermal comfort. Time shiftable appliances Coffee heater Dish washer Oven Kettle Hot plate Washing machine
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