Intelligent Energy-Saving Control of Air Conditioning Systems Based on Cooling Load Demand Prediction
Cooling load demand prediction is the core of intelligent energy-saving control in air conditioning systems,and it provides a basis for the operation of air conditioning systems by real-time monitoring and prediction of the cooling load of buildings.In order to reasonably allocate and use energy in air conditioning systems,achieve energy conservation,it is necessary to predict cooling load demand and study intelligent energy-saving control methods for air conditioning systems.In this paper,firstly,historical cooling load data is collected,and a cooling load demand prediction model is established to reasonably predict the cooling load demand of the air conditioning system,and then energy-saving operating parameters are set for the air conditioning system,including temperature,humidity,fresh air volume,operating mode,and wind speed,finally,an optimization objective function for the intelligent energy-saving control strategy of the air conditioning system is established,and an intelligent energy-saving control strategy for the air conditioning system is designed,and control actions are executed to provide an energy-saving and comfortable environment.The experiment shows that the proposed method has significant energy-saving advantages after application,with an energy-saving rate of over 26%and a significant reduction in energy consumption.
cooling loaddemand predictionair conditioning systemintelligent energy-saving control
国家科技期刊平台
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