CCPortal
DOI10.1016/j.spc.2024.01.005
SLiCE: An open building data model for scalable high-definition life cycle engineering, dynamic impact assessment, and systematic hotspot analysis
发表日期2024
ISSN2352-5509
起始页码45
卷号45
英文摘要Building construction and operation are responsible for around 40 % of global energy -related greenhouse gas emissions. To identify emissions reduction and removal potentials as well as wider environmental impacts, researchers, policy, and decision makers need comprehensive life cycle sustainability assessment (LCSA) insights on individual buildings and building stocks at large. This article proposes an open building data model for Scalable, high -definition Life Cycle Engineering (SLiCE) as a solution to overcome the limitations identified for existing models. The article departs from conceptualizing the problem within the Space -Time -Indicator Nexus; presents the proposed SLiCE data structure; and showcases practical uses of SLiCE data for dynamic assessment of climate change impact as well as for systematic environmental hotspot analysis. The open SLiCE building data model and SLiCE hotspot analysis tool are henceforth available for implementation within life cycle assessment (LCA) of building and building stocks, enabling comprehensive insights on buildings' environmental impacts across spatiotemporal scales.
英文关键词Life cycle assessment; Environmental engineering; Data science; Buildings and construction; Digital building logbook; Building material passport
语种英语
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Environmental Studies
WOS记录号WOS:001178354700001
来源期刊SUSTAINABLE PRODUCTION AND CONSUMPTION
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/292415
作者单位KU Leuven; Graz University of Technology
推荐引用方式
GB/T 7714
. SLiCE: An open building data model for scalable high-definition life cycle engineering, dynamic impact assessment, and systematic hotspot analysis[J],2024,45.
APA (2024).SLiCE: An open building data model for scalable high-definition life cycle engineering, dynamic impact assessment, and systematic hotspot analysis.SUSTAINABLE PRODUCTION AND CONSUMPTION,45.
MLA "SLiCE: An open building data model for scalable high-definition life cycle engineering, dynamic impact assessment, and systematic hotspot analysis".SUSTAINABLE PRODUCTION AND CONSUMPTION 45(2024).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
百度学术
百度学术中相似的文章
必应学术
必应学术中相似的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。