Զբաղվածության կանխատեսման վրա հիմնված շենքերի ջեռուցման, հովացման և օդափոխման էներգաարդյունավետ կառավարում

Abstract

To enhance the environmental efficiency of building heating systems, a transition to electric heating specifically the use of heat pumps is proposed. These systems can be integrated with renewable energy sources and thermal energy storage solutions, thereby increasing overall efficiency and flexibility. System optimization models are based on data regarding annual thermal demand, temperature, and building occupancy. To improve the energy efficiency of heating, cooling, and ventilation systems in buildings, a variable occupancy recovery model has been developed, which assesses and forecasts building usage. This data has been incorporated into a model predictive control framework, formulated as a multi-objective optimization problem aimed at reducing energy consumption while maintaining optimal thermal comfort levels. Simulation results demonstrate that this approach significantly enhances the energy efficiency of the aforementioned systems.