摘要
针对集中式空调系统提前关机调度技术存在节能效果不明确和外界气象参数或冷冻水剩余冷量变化时关机时间设定不准确的问题,结合工程实际和已有研究提出一种基于冷负荷预测和冷冻水温升过程热传导模型的节能分析方法,以东莞某办公建筑为研究对象,建立了空调系统冷负荷预测模型和冷冻水温升过程的热传导模型,对提前关机调度技术进行了节能分析,优化了关机时间,并进行了实验验证。研究结果表明:采用提前关机调度技术,根据季节及冷冻水温度确定关机时间,制冷季和过渡季空调系统日能耗与常规运行相比可分别降低90~140 kW·h、80~140 kW·h;该节能分析方法能有效得出提前关机调度技术的节能效果并优化关机时间。
There are some problems in the early switch-off scheduling technology of central air conditioning system,such as unclear energy-saving effect and inaccurate setting of early shutdown time when external meteorological parameters or the residual cooling capacity of chilled water changes.Based on the engineering practice and existing research,an energy-saving analysis method is proposed based on cooling load prediction and heat conduction model of temperature rise process of chilled water.Taking an office building in Dongguan as the research object,a cooling load prediction model of air conditioning system is established,as well as a heat conduction model of temperature rise process of chilled water.The energy saving analysis of the early switch-off scheduling technology was carried out,and the shutdown time was optimized.And all these are proved by experiment.The results show that using the early switch-off scheduling technology to run air conditioning system and determining the early shutdown time according to different seasons and chilled water temperature,the daily energy consumption of air conditioning system will be reduced 90~140 kW·h in cold season and 80~140 kW·h in transition season.The energy-saving analysis method can effectively analyze the energy-saving effect of the early shutdown scheduling technology and optimize the shutdown time.
作者
乔富荣
闫军威(指导)
胡小芳
QIAO Fu-rong;YAN Jun-wei;HU Xiao-fang(South China University of Technology,Guangzhou 510640,China)
出处
《建筑节能》
CAS
2020年第4期1-8,32,共8页
BUILDING ENERGY EFFICIENCY
基金
国家自然科学青年基金资助项目(51408233)
广东省科技计划项目(2017A020216023)
关键词
集中式空调系统
提前关机调度技术
冷负荷预测
热传导模型
节能
关机时间
central air-conditioning system
early switch-off scheduling technology
cold load prediction
heat conduction model
energy conservation
shutdown time