INTELLIGENT BUILDING ENGINEERING:STUDY ON ENERGY SAVING OPTIMIZATION CONTROL STRATEGIES BASED ON ARTIFICIAL INTELLIGENCE
The current HVAC system mostly uses constant mixed air temperature control,which has the problem of low energy efficiency.Based on this,a prediction model based on artificial neural network is proposed and developed.Through co-simulation with EnergyPlus,Matlab and BCVTB,the control of energy saver is optimized to realize the prediction of load and energy consumption.The results show that the model can significantly reduce energy consumption in practical operation,saving 28.9%of energy,which shows the application potential of intelligent control system in building energy efficiency management.
万方数据
维普
