摘要
现有研究很少基于季度动态负荷数据对建筑空调系统方案进行分析。为设计某运动场馆的空调系统,在盘管型蓄冰装置动态性能试验的基础上,建立了蓄冰装置的部件模型,进而基于动态负荷数据采用TRNSYS软件开展了常规空调系统、冰蓄冷常温送风空调系统、冰蓄冷低温送风空调系统等三种系统的全年运行模拟,对比了各系统能耗和运行费用。TRNSYS模拟能更好地反映空调系统运行的建筑用途特点以及蓄冰装置的传热特性,基于模拟得到的投资回收年限与常规方法得到的回收年限相差在15%左右。根据TRNSYS分析,在地区现有峰谷电价政策下,冰蓄冷常规送风空调系统的投资回收年限为29.7年,冰蓄冷低温送风系统的投资回收年限为9.4年。如将峰谷电价差扩大至1.2元/k W·h,则冰蓄冷低温送风系统的投资回收年限能缩短为3.8年。
There are few studies on assessment of building air conditioning system based on seasonal data of dynamic load.To design the air conditioning system for a gymnasium,a component model was established for ice storage unit using dynamic experimental data of an ice-on-coil installation,carried out annual simulations of three systems,i.e.,traditional air conditioning system,ice-storage conventionalsupply air conditioning system,ice-storage cold-supply air conditioning system,and made a comparison of energy consumption and operating cost between these systems.TRNSYS simulation can better reflect the characteristics of air conditioning system relevant to building purpose and the heat transfer characteristics of ice-storage device.The difference between the payback periods obtained by simulation and conventional calculation was about 15%.According to the TRNSYS analysis,with the current peak-valley prices in the region,the payback period of ice-storage conventional-supply air conditioning system was 29.7 years,and the payback period of ice-storage cold-supply air conditioning system was 9.4 years.If the price difference of peak and valley electricity was increased to 1.2 yuan/kW·h,the payback period of ice-storage coldsupply air conditioning system could be shortened to 3.8 years.
作者
吴昊
徐以洋
谢若怡
张绍志(指导)
陈光明
WU Hao;XU Yi-yang;XIE Ruo-yi;ZHANG Shao-zhi;CHEN Guang-ming(Institute of Refrigeration and Cryogenics,Zhejiang University,Hangzhou 310027,China;Huadong Engineering Corporation Limited,Power Construction Corporation of China,Hangzhou 311100,China)
出处
《建筑节能》
CAS
2020年第11期33-37,105,共6页
BUILDING ENERGY EFFICIENCY
关键词
冰蓄冷
空调
TRNSYS
能耗
经济性分析
ice storage
air conditioning
TRNSYS
energy consumption
economic analysis