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A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling

Wang, C; Wei, S; Du, S; Zhuang, D; Li, Y; Shi, X; Jin, X; (2021) A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling. Sustainable Cities and Society , 71 , Article 102998. 10.1016/j.scs.2021.102998. Green open access

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Abstract

Three dimensional (3D) geometric models of buildings are foundational for urban building energy modeling. A complete 3D geometric model contains building-relevant information like building footprint, height and Window-to-Wall Ratio (WWR). Existing methods creating these models have certain limitations, such as unavailability of Geographic Information System (GIS) databases and Light Detection and Ranging (LiDAR) data for many cities, and restricted flying space for Unmanned Aerial Vehicles (UAV). To tackle these issues, this study has developed a systematic method developing 3D geometric models, with 1) building footprint acquired from combination of two internet maps, namely Baidu Map and OpenStreetMap; 2) building height estimated from the number of storeys for residential buildings and determined using the building vertical edge method for non-residential buildings, and 3) building WWR calculated from buildings’ elevation images using an Artificial Intelligence (AI). The validation work revealed that more than 85 % of acquired building footprints had absolute relative errors less than 10 %, and this percentage was 87 %, 74 % and 75 %, for height of residential buildings, height of non-residential buildings and WWR, respectively. To demonstrate the application of the method, a newly developed urban district in Nanjing, China was used as a case study.

Type: Article
Title: A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.scs.2021.102998
Publisher version: https://doi.org/10.1016/j.scs.2021.102998
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Urban building energy models, 3D models, Geometric data, Open-access data, GIS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10127570
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