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A building unit decomposition model for energy leakage by infrared thermography image analysis
Frontiers in Energy ( IF 3.1 ) Pub Date : 2020-07-10 , DOI: 10.1007/s11708-020-0679-y
Yan Su , Fangjun Hong , Lianjie Shu

A quantitative energy leakage model was developed based on the thermography image data measured for both external and internal building surfaces. The infrared thermography images of both surfaces of doors, windows, and walls of an office building in the Hengqin Campus of University of Macao were taken at various times in a day for four seasons. The transient heat flux for sample units were obtained based on measurements of the seasonal transient local temperature differences and calculations of the effective thermal conductivity from the multiple-layer porous medium conduction model. Effects of construction unit types, orientations, and seasons were quantitatively investigated with unit transient orientation index factors. The corresponding electric energy consumption was calculated based on the air conditioning system coefficient of performance of heat pump and refrigerator cycles for different seasons. The model was validated by comparing to the electric meter records of energy consumption of the air conditioning system. The uncertainties of the predicted total building energy leakage are about 14.7%, 12.8%, 12.4%, and 15.8% for the four seasons, respectively. The differences between the predicted electric consumption and meter values are less than 13.4% and 5.4% for summer and winter, respectively. The typical daily thermal energy leakage value in winter is the highest among the four seasons. However, the daily electric energy consumption by the air conditioning system in summer and autumn is higher than that in winter. The present decomposition model for energy leakage is expected to provide a practical tool for quantitative analysis of energy leakage of buildings.



中文翻译:

红外热成像图像分析的能量泄漏建筑单元分解模型

基于对建筑物外部和内部表面测量的热成像图像数据,开发了定量的能量泄漏模型。澳门大学横琴校区办公大楼的门,窗户和墙壁的两个表面的红外热像图图像在一天中的不同时间拍摄了四个季节。样品单位的瞬态热通量是根据季节性瞬态局部温差的测量结果以及根据多层多孔介质导热模型计算出的有效导热率而获得的。利用单位瞬态定向指数因子定量研究了建筑单元类型,定向和季节的影响。根据不同季节的热泵和冰箱循环的空调系统性能系数,计算相应的电能消耗。通过与空调系统能耗的电表记录进行比较来验证该模型。四个季节的预计建筑总能源泄漏的不确定性分别约为14.7%,12.8%,12.4%和15.8%。夏季和冬季,预计的用电量和电表值之间的差异分别小于13.4%和5.4%。冬季典型的每日热能泄漏值是四个季节中最高的。但是,夏季和秋季,空调系统每天的电能消耗要高于冬季。

更新日期:2020-07-09
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