Research on Energy Saving Control of Building Central Air Conditioning Based on Neural Network

Abstract

During the construction design period, the amount of energy consumption of the central air-conditioning system occupies a large proportion in the overall energy consumption, so how to control its comprehensive energy consumption, improve the application efficiency of the internal energy system, effectively enhance the suitability of the living environment, has a positive effect on the steady development of China's national economy. Therefore, modern researchers have proposed a number of topics on the energy control of building central air conditioning appliances from the perspective of neural network by using the theoretical way of artificial intelligence, and the final results prove that the building electrical energy saving project has a certain theoretical significance and practical value. On the basis of understanding the structure and energy principle of central air conditioning system, this paper studies the prediction of vAV system in central air conditioning system, and constructs the neural network predictive controller structure. The final experimental results show that this method can not only improve the control effect of the air conditioning system, but also change the dynamic performance of the air conditioning control system, so as to ensure that the central air conditioning system inside the building can effectively control the energy consumption.