气候变化领域集成服务门户(CCPortal): Bioclimatic classification for building energy efficiency using hierarchical clustering: A case study for Sri Lanka

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DOI	10.1016/j.jobe.2023.108388
	Bioclimatic classification for building energy efficiency using hierarchical clustering: A case study for Sri Lanka
	Nadarajah, Pravin Diliban; Singh, Manoj Kumar; Mahapatra, Sadhan; Pajek, Luka; Kosir, Mitja
发表日期	2024
EISSN	2352-7102
起始页码	83
卷号	83
英文摘要	Climate zoning is fundamental to improving building energy efficiency through bioclimatic design principles and passive design strategies. In Sri Lanka, buildings consume approximately 37 % of primary energy and about 33 % of total generated electricity. This study aims to carry out bioclimatic zoning and estimate the passive design potential for each bioclimatic zone. Utilising dimensionality reduction through Principal Component Analysis (PCA) and Hierarchical Clustering on 31 years of weather information, Sri Lanka is classified into three distinct bioclimatic zones, namely Z1 (Hot and humid), Z2 (Cool and humid) and Z3 (Warm and humid). An hourly method was used for each zone to determine HDD and CDD. Accordingly, regression models were constructed (R-2 > 0.77) to estimate the CDD for each zone for cooling load. Bioclimatic potential analysis is carried out to link climate parameters with building performance. The results demonstrate that natural ventilation is the most effective passive design method with potential 64 +/- 13%, 63 +/- 10, and 83 +/- 4% in a year for hot and humid, cool and humid, and warm and humid zones, respectively. The results emphasise the importance of using bioclimatic classification to design energy-efficient buildings to achieve national energy efficiency goals in low-income countries like Sri Lanka.
英文关键词	Bioclimatic classification; Hierarchical cluster analysis; Degree-days; Sri Lanka; Building energy efficiency
语种	英语
WOS研究方向	Construction & Building Technology ; Engineering
WOS类目	Construction & Building Technology ; Engineering, Civil
WOS记录号	WOS:001159354800001
来源期刊	JOURNAL OF BUILDING ENGINEERING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/295599
作者单位	Tezpur University; University of Ljubljana
推荐引用方式 GB/T 7714	Nadarajah, Pravin Diliban,Singh, Manoj Kumar,Mahapatra, Sadhan,et al. Bioclimatic classification for building energy efficiency using hierarchical clustering: A case study for Sri Lanka[J],2024,83.
APA	Nadarajah, Pravin Diliban,Singh, Manoj Kumar,Mahapatra, Sadhan,Pajek, Luka,&Kosir, Mitja.(2024).Bioclimatic classification for building energy efficiency using hierarchical clustering: A case study for Sri Lanka.JOURNAL OF BUILDING ENGINEERING,83.
MLA	Nadarajah, Pravin Diliban,et al."Bioclimatic classification for building energy efficiency using hierarchical clustering: A case study for Sri Lanka".JOURNAL OF BUILDING ENGINEERING 83(2024).