Research on Energy Consumption Optimization Control of Central Air Conditioning Supported by Improved Differential Evolution Algorithm
During the operation of central air conditioning in large buildings,if the energy consumption of central air conditioning cannot be optimized and controlled in a timely manner,it will directly waste a large amount of energy resources during air conditioning operation.Due to the existing methods neglecting the analysis of the reasons for energy consumption waste in central air conditioning,there is a deviation in the determination of optimization objectives,resulting in poor energy consumption optimization control.In order to effectively improve energy consumption efficiency,an improved differential evolution algorithm is proposed to support the study of central air conditioning energy consumption optimization control.This method first calculates the energy consumption of the refrigera-tion unit during the operation of the air conditioning system based on the structural analysis results of the central air conditioning sys-tem,aiming at the problem of excessive cooling capacity,and determines the control parameters;To address the issue of mismatched supply air temperature,an optimization objective function for central air conditioning energy consumption is constructed based on the coupling relationship between the AHU fan and the chilled water pump in the central air conditioning system,combined with the mini-mum energy consumption condition mentioned above;Finally,the improved differential evolution algorithm is used to optimize and solve the objective function;Realize optimal control of energy consumption for central air conditioning.The experimental results show that when using this method to optimize the energy consumption control of central air conditioning,the energy consumption optimiza-tion control effect is good,the performance is high,and the highest energy consumption is 510 kW/h.
improved differential evolution algorithmcentral air conditioningenergy consumption optimization controlenergy consumption optimization modelcalculation of energy consumption value
万方数据
维普
