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Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets

Jun 1, 2025 Qing Yu, DONG Kechuan, Zhiling Guo, XU Jian, Jiaxing Li, TAN Hongjun, Yanxiu Jin, Jian Yuan, Haoran Zhang, Junwei Liu, Qi Chen, Jinyue Yan

Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets

Summary: Combines 3D building footprints with meteorological data to estimate building-integrated PV potential in 120 cities worldwide; facade potential averages 68.2% of rooftop potential.
Type: Journal Article
Publication: Nexus, 2(2), 100060
DOI: 10.1016/j.ynexs.2025.100060

Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets — Figure 1: Facade and rooftop solar insolation from the global 3D building dataset.

Cite this paper

@article{yu2025global,
  title   = {Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets},
  author  = {Qing Yu and Dong, Kechuan and Zhiling Guo and Xu, Jian and Jiaxing Li and Tan, Hongjun and Yanxiu Jin and Jian Yuan and Haoran Zhang and Junwei Liu and Qi Chen and Jinyue Yan},
  journal = {Nexus},
  year    = {2025},
  doi     = {10.1016/j.ynexs.2025.100060}
}