GeoBEM Series: Geospatial computing for Urban-scale building energy solutions
Published in Sustainable Cities and Society, Building and Environment, 2025
Intro: Cities drive global energy demand and emissions, yet urban-scale building energy modeling (UBEM) remains constrained by fragmented geospatial integration. Our GeoBEM framework bridges this gap by unifying GIS, automation, and physics-based simulations to enable high-resolution energy modeling across cities. We are currently leveraging this platform to test various building materials, retrofitting strategies, and green finance applications, with multiple exciting studies underway - stay tuned for forthcoming findings!
Title:
[1] Zhang, S., Chen, L., Xu, L., & Wang, Z. (2025). GeoBEM: A geospatial computing empowered framework for urban-scale building energy modeling. Sustainable Cities and Society, 106203.
[2] Zhang, S., Zhou, Y., Chen, L., Huang, Y., & Wang, Z. (2025). Inferring building type using textual data and Natural Language Processing for urban building energy modelling. Building and Environment, 269, 112428.
URL: https://doi.org/10.1016/j.scs.2025.106203, https://doi.org/10.1016/j.buildenv.2024.112428