气候变化领域集成服务门户(CCPortal): U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality

CCPortal

DOI	10.1016/j.enbuild.2024.114026
	U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality
	Geske, Mara; Benz, Alexander; Voelker, Conrad
发表日期	2024
ISSN	0378-7788
EISSN	1872-6178
起始页码	309
卷号	309
英文摘要	Due to climate change and limited energy resources, it is becoming increasingly important to analyse and optimise the energy performance of existing building stocks. Urban building energy modelling is the most common tool for such tasks, however difficulties arise from incomplete or outdated datasets, which are often updated using subjective assumptions. This study proposes a methodological framework to improve the quality of existing U -value datasets using comparative thermography. As the dataset may contain incomplete or outdated values, it is extended to a comparative U -value assessments based on a thermographic dataset. Outliers are identified at points that show discrepancies between the two datasets. The presented method for a comparative approach provides the user with a strategy to obtain high -quality urban scale U -value datasets with a fraction of the current effort. The comparative approach can reduce the effects of uncertain parameters on thermographic U -value estimation. Within an experimental case study, the concept of outlier detection is applied successfully to improve existing datasets for urban energy modelling. The presented method was able to reduce the workload of detailed U -value investigation to 12% compared to a full archival research. These results represent significant time saving and enabling the user to find inconsistent values in datasets in an objective, unbiased and reasonable way.
英文关键词	U-value; Data acquisition; Infrared imaging; Building stock; Urban building energy modelling; Urban scale; Comparative thermography
语种	英语
WOS研究方向	Construction & Building Technology ; Energy & Fuels ; Engineering
WOS类目	Construction & Building Technology ; Energy & Fuels ; Engineering, Civil
WOS记录号	WOS:001205641800001
来源期刊	ENERGY AND BUILDINGS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297534
作者单位	Bauhaus-Universitat Weimar
推荐引用方式 GB/T 7714	Geske, Mara,Benz, Alexander,Voelker, Conrad. U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality[J],2024,309.
APA	Geske, Mara,Benz, Alexander,&Voelker, Conrad.(2024).U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality.ENERGY AND BUILDINGS,309.
MLA	Geske, Mara,et al."U-value data on an urban scale: Outlier detection using comparative thermography to improve data quality".ENERGY AND BUILDINGS 309(2024).