Research On Electrical Energy Saving Control Of Building Central Air Conditioning Based On Neural Network

The energy consumption of central air-conditioning system accounts for a large part of the overall energy consumption of buildings,and it is a major energy consumption source.How to reduce its comprehensive energy consumption,improve the efficiency of the internal energy system and enhance the comfort of the environment is of great importance to the long-term development of our national economy.Therefore,using the theory and method of artificial intelligence to carry out the control research on electrical energy saving of building central air conditioning from the aspect of neural network has important theoretical significance and engineering practice value for building electrical energy saving.In this paper,the predictive control and decoupling control of VAV air-conditioning system in central air-conditioning are studied based on the comprehensive analysis of the structure and energy-saving principle of central air-conditioning.The analysis shows that the central air-conditioning system is a multi-variable,complex and time-varying system.There are serious non-linear,large lag and strong coupling relationships among the process elements,which lead to the difficulty of control of the central air-conditioning system,thus causing a large amount of waste of power.Therefore,this paper designs a structure of neural network predictive controller,which combines predictive output with input,strengthens dynamic memory function and improves prediction accuracy.Aiming at the serious coupling phenomenon between non-linearity and temperature and humidity control of VAV air conditioning system,this paper adopts the control theory method of combining neural network and fuzzy control to establish the controller model.The experimental results show that this method improves the control effect of the air conditioning system,improves the steady-state and dynamic performance of the VAV air conditioning control system,and achieves more remarkable effect of electrical energy saving.