High-resolution estimation of building energy consumption at the city level

Xiao Zhou, Zhou Huang, Bronte Scheuer, Han Wang, Guoqing Zhou and Yu Liu

Energy, 2023, vol. 275, issue C

Abstract: Buildings are considered as one of the most significant sources of energy use and greenhouse gas emissions. However, few studies have estimated fine-scale energy consumption in the building sector, especially at the city level. This study develops a top-down approach based on statistical and geospatial data to estimate building energy consumption with a high resolution (1 km × 1 km) at the city level. Two representative cities, i.e., Beijing and Shanghai, were chosen to validate the practicality and applicability of the proposed approach. Highly detailed maps of building energy consumption and energy intensity with a resolution of 1 km were generated. The results reflect the spatial non-equilibrium characteristics of building energy use at fine scales. In addition, based on three urban morphology indicators (i.e., building coverage ratio, floor area ratio, and building height), varying relationships between building energy consumption and urban morphology in different cities are revealed. The findings of this study may provide helpful scientific evidence for policy makers to develop appropriate energy-saving strategies for the building sector.

Keywords: Building energy consumption; Big data; Top-down approach; High-resolution map; Urban morphology (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:275:y:2023:i:c:s0360544223008708

DOI: 10.1016/j.energy.2023.127476

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