| Abstrakt: |
The energy consumption in the building operation stage accounts for about 20% of the total energy consumption of the building's whole life cycle, among the energy consumption, the air-conditioning system accounts for the largest proportion, significantly contributing to 50% of the energy consumption. In the conventional method in the air conditioning control system, a constant target temperature is usually set. However, due to the real-time changes in environmental parameters and personnel activities, the energy consumption of buildings and the comfort of users will also change accordingly. This paper studies the optimization of air conditioning energy consumption under dynamic conditions, comprehensively adopts technologies such as the Internet of Things (IoT), computer simulation, and meta-heuristic algorithms to adjust the control parameters of the air conditioner in real-time according to the on-site situation, to achieve the goal of reducing energy consumption and improving comfort. The building air-conditioning energy-saving optimization solution proposed in this paper takes into account real-time, adaptability and accuracy. According to the actual comparison, the energy consumption is reduced by about 10%, and the comfort satisfaction degree is increased by about 8%. [ABSTRACT FROM AUTHOR] |
