1. 西部绿色建筑国家重点实验室(西安建筑科技大学),西安,710055
2. 西安建筑科技大学 建筑学院,西安,710055
纸质出版:2019
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张率, 刘衍, 侯立强, 等. 北方采暖地区居住建筑节能计算方法对比[J]. 哈尔滨工业大学学报, 2019,51(10):178-185.
ZHANG Shuai, LIU Yan, HOU Liqiang, et al. Comparative study on energy efficiency calculation methods of residential buildings in central heating areas of Northern China[J]. 2019, 51(10): 178-185.
张率, 刘衍, 侯立强, 等. 北方采暖地区居住建筑节能计算方法对比[J]. 哈尔滨工业大学学报, 2019,51(10):178-185. DOI: 10.11918/j.issn.0367-6234.201809015.
ZHANG Shuai, LIU Yan, HOU Liqiang, et al. Comparative study on energy efficiency calculation methods of residential buildings in central heating areas of Northern China[J]. 2019, 51(10): 178-185. DOI: 10.11918/j.issn.0367-6234.201809015.
为研究不同的建筑节能计算方法对居住建筑能耗的影响差异
并选取适宜的方法以降低采暖能耗. 通过利用JGJ 26—2010《严寒和寒冷地区居住建筑节能设计标准》提出的稳态计算方法和EnergyPlus软件的动态能耗模拟方法对严寒与寒冷地区挑选的10个不同典型城市的典型建筑进行计算、模拟与对比分析. 研究表明:所选典型城市在比较两种方法计算建筑物耗热量指标时产生差异且差异率不同
其中高海拔、强辐射、日较差大的地区如拉萨、西宁差异率最大
可达43.83%、21.20%
其次是银川、兰州
其差异率最大可达19.69%、18.81%. 通过分析引起差异的主要因素
提出对于差异率大于15%的上述地区
居住建筑节能计算采用动态能耗模拟方法比采用稳态计算方法更合理. 对于西安、北京和海拉尔等差异率在10%~15%的城市
建议采用动态能耗模拟方法以提高建筑节能设计精度
而对于乌鲁木齐、长春与哈尔滨等最大差异率小于10%的城市
仍可继续使用稳态计算方法.从而为北方采暖地区居住建筑节能设计工程应用选取适宜的方法提供参考.
To investigate the influences of different energy efficiency calculation methods on the energy consumption of residential buildings
and select the appropriate method to reduce heating energy consumption
the study calculated
simulated
and comparatively analyzed energy consumption of residential buildings in 10 typical cities in severe cold and cold zones by adopting the steady-state method elaborated in ‘Design standard for energy efficiency of residential buildings in severe cold and cold zones’ and the dynamic energy consumption simulation of EnergyPlus software. Findings indicate that indexes of heat loss of building obtained from both methods were different in typical cities with varied difference ratios. Cities of high altitude
strong radiation
and greater diurnal range
namely Lhasa and Xining
had difference ratios of as high as 43.83% and 21.20%
which were followed by Yinchuan and Lanzhou
with the maximum difference ratio of 19.69% and 18.81%
respectively. Thus
by analyzing main factors concerning the difference
dynamic energy consumption simulation was recommended over steady-state method for residential building energy efficiency calculation in the abovementioned zones with a difference ratio greater than 15%. In addition
for cities such as Xi’an
Beijing
and Hailar
with a difference ratio of 10%~15%
the dynamic simulation method was also suggested to improve the accuracy of building energy efficiency design
while for other cities with a maximum difference ratio below 10%
such as Urumqi
Changchun
and Harbin
steady-state method could be adopted. The results could provide a reference for residential buildings in northern heating areas of China to choose suitable methods for engineering application in energy efficiency design.
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