A New Central Air-Conditioning System Control Strategy based on Prediction Model

The central air-conditioning system has a great delay, and the flow of people changes quickly at large shopping malls, so the traditional control model which is based on the instantaneous change of the parameters has a limited energy-efficiency effect. In order to enhance the operation efficiency of the central air-conditioning system, the control strategy should be changed. Based on the conservation of energy, the model of the people flow and the predicted model of temperature are derived. According to the gray prediction model GM(1, 1), the cooling load of the next time can be obtained, and then the cooling load can be predicted and the frequency can be changed in advance, so the flow of chilled water can be changed, and the energy consumption of the air-conditioning can be greatly reduced. Based on the models obtained above, the flow of chilled water can be adjusted half an hour before to save the energy.