Pump-valve Combined Control Optimization Method in Air-conditioning Water System Based on GWO-BP Neural Network
Air conditioning water systems have significant energy-saving potential,but there is usually a dynamic hydraulic imbalance in the pipeline lead to the uncomfortable indoor environment and wasted energy by water pumps.The paper introduces a GWO-BP neural network model using experimental data to predict valve openings in the water system.It proposes a pump-valve combined optimization control method based on minimum resistance control principles.Experimental results demonstrate that this optimization method significantly boosts terminal device valve openings,reduces pump frequency,effectively reduces pipeline resistance and accurately adjusts the flow rate of the terminal branch,the energy consumption of pump can be reduced by 27.63%to 65.19%,having significant energy-saving effect on water pumps,especially when flow demand is lower.
Pump-valve combined controlAir-conditioning water systemMinimum resistance controlNeural network
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