Study on Dynamic Load of Air-Conditioning System in Subway Station Based on Hourly Passenger Flow

The research focuses on the air-conditioning system in a public area of subway station. To address this, an optimization model based grid time segmentation method was constructed, specifically GM (1,1) model. We explored influence hourly passenger flow fluctuation load system, obtained dynamic change law air conditioning station, and then dynamically adjusted according to reduce operation energy consumption system. Through analysis simulation results, predicted that compared with actual data, average maximum relative error 14.97%. On this basis, which caused by from could be calculated analyzed. Compared working day decreased 1469.77 kW, or 22.00%. findings indicate response fluctuations, timely adjustment supply parameter offers significant reference point for optimizing efficiency stations.