Research on Hospital Central Air Conditioning Optimization Control Based on Annealing Algorithm
GUO Yao
Abstract：In order to make energy-efficient central air-conditioning in the use of large buildings more energy saving and envi-ronmental protection,this study takes the hospital building carrier as an example,the hospital central air conditioning optimization control is divided into three stages of acquisition,optimization and control.Using AI/DI sensor to real-time collection of hospital in-door parameters and converted into data signals to optimize the system,and the establishment of the cost of air conditioning equip-ment and the total energy consumption of the objective function of the sample by annealing the measured value and the predicted val-ue real-time deviation calculation to adjust the optimal setpoint operation,and finally the control signal to the DDC controller to complete the optimization of the air conditioning equipment control.The experimental results show that the maximum energy saving is 86kW,the energy saving rate is 16.24%,and the average energy saving rate is 9.12% within 2h,which can effectively reduce the energy cost.
Keywords：central air conditioningannealing algorithmcontrol signalsensorcontroller
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 293-297 )