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Dual mode control research of variable air volume air conditioning system

Jiejia Li, Xiaoyu Sun

On the basis of analyzing the local control of variable air volume (variable air volume, VAV) systems, puts forward the two kinds of real-time optimization control scheme. One is when the difference between actual room temperature and set temperature is small change the indoor air output to adjust the room temperature; the other is when the difference between actual room temperature and set temperature is big change indoor air output and supply air temperature to adjust the room temperature at the same time. And the combination of fuzzy neural network controller and neural network predictor can predict the new wind force for indoor online, it will reduce light running time of the air conditioning system. The results show that the system is under partial load cases, especially in smaller load using the method of combining two optimization scheme can not only save more energy, but also can improve indoor thermal comfort