摘要
大型建筑内中央空调运行过程中,若不能及时对中央空调能耗实施优化控制,会直接在空调运行时浪费大量能耗资源。由于现有方法忽略了对中央空调能耗浪费原因的分析,导致优化目标确定存在偏差,造成能耗优化控制不佳。为有效提升能耗使用效率,提出改进差分进化算法支持下中央空调能耗优化控制研究。该方法首先根据中央空调系统结构分析结果,针对制冷量过大问题,对空调运行过程中制冷机组的耗能展开计算,确定控制参数;再针对送风温度不匹配的问题,通过中央空调中AHU风机与冷冻水泵之间耦合关系,基于上述结合最小使用能耗条件,构建中央空调能耗优化目标函数;最后利用改进后的差分进化算法对目标函数展开优化求解;实现对中央空调的能耗优化控制。实验结果表明,利用该方法开展中央空调能耗优化控制时,能耗优化控制效果好、性能高,能耗最高为510 kW/h。
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 refrigeration unit during the operation of the air conditioning system based on the structural analysis results of the central air conditioning system,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 minimum 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 optimization control effect is good,the performance is high,and the highest energy consumption is 510 kW/h.
作者
熊钧
郑占赢
徐永凯
陈适铭
XIONG Jun;ZHENG Zhanying;XU Yongkai;CHEN Shiming(Zhuhai Pilot Technology Co.,Ltd.,Zhuhai Guangdong 519000,China)
出处
《自动化与仪器仪表》
2024年第11期145-149,共5页
Automation & Instrumentation
基金
2019年度珠海市创新创业团队项目:基于数字孪生的空调负荷建模及柔性控制技术的研发及产业化(ZH0405190003PWC)。
关键词
改进差分进化算法
中央空调
能耗优化控制
能耗值计算
improved differential evolution algorithm
central air conditioning
energy consumption optimization control
energy consumption optimization model
calculation of energy consumption value
