气候变化领域集成服务门户(CCPortal): Operational, embodied and whole life cycle assessment credits in green building certification systems: Desktop analysis and natural language processing approach

CCPortal

DOI	10.1016/j.buildenv.2024.111569
	Operational, embodied and whole life cycle assessment credits in green building certification systems: Desktop analysis and natural language processing approach
	Olanrewaju, Oludolapo Ibrahim; Enegbuma, Wallace Imoudu; Donn, Michael
发表日期	2024
ISSN	0360-1323
EISSN	1873-684X
起始页码	258
卷号	258
英文摘要	Globally, the issue of climate change is becoming increasingly significant due to the rapid change in weather conditions, and the construction industry contributes significantly to this. Green building certification systems (GBCS) are vital for ensuring sustainable practices in the construction industry. As a result, it is essential to guarantee the effectiveness of the GBCS to capture adequate information on environmental impacts throughout the building life cycle and ensure best practices. However, limited works have holistically studied the operational, embodied and whole life cycle assessment (OEW) credits in GBCS. Therefore, this current study seeks to address the gap by critically assessing the OEW credits in notable GBCS to determine areas of strengths and weaknesses. This study applied desktop analysis and document similarity techniques of natural language processing to assess the technical manuals of the GBCS. Five GBCS (LEED, BREEAM, Green Star NZ, LOTUS and GREENSL) were selected from developed and developing countries, and the newly developed GBCS (IGBT and BSAM) were selected to have both perspectives. The analysis revealed that operational credits were given more attention compared to embodied credits. It is observed that waste-related credits are not prioritised. In addition, the concept of circular economy is yet to gain attention in the existing GBCS. Also, the document similarity among the GBCS indicates that the GBCS have some level of similarity. However, the LOTUS and BSAM certification systems were observed to have low similarity compared to other GBCS. The research proposed an improvement framework to enhance the effectiveness of the GBCS.
英文关键词	Whole life cycle assessment; Green building certification systems; Desktop analysis; Natural language processing; Cosine similarity
语种	英语
WOS研究方向	Construction & Building Technology ; Engineering
WOS类目	Construction & Building Technology ; Engineering, Environmental ; Engineering, Civil
WOS记录号	WOS:001237099900001
来源期刊	BUILDING AND ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301139
作者单位	Victoria University Wellington
推荐引用方式 GB/T 7714	Olanrewaju, Oludolapo Ibrahim,Enegbuma, Wallace Imoudu,Donn, Michael. Operational, embodied and whole life cycle assessment credits in green building certification systems: Desktop analysis and natural language processing approach[J],2024,258.
APA	Olanrewaju, Oludolapo Ibrahim,Enegbuma, Wallace Imoudu,&Donn, Michael.(2024).Operational, embodied and whole life cycle assessment credits in green building certification systems: Desktop analysis and natural language processing approach.BUILDING AND ENVIRONMENT,258.
MLA	Olanrewaju, Oludolapo Ibrahim,et al."Operational, embodied and whole life cycle assessment credits in green building certification systems: Desktop analysis and natural language processing approach".BUILDING AND ENVIRONMENT 258(2024).