Buildings (Mar 2022)

Modelling Building Stock Energy Consumption at the Urban Level from an Empirical Study

  • Qunfeng Ji,
  • Yangbo Bi,
  • Mehdi Makvandi,
  • Qinli Deng,
  • Xilin Zhou,
  • Chuancheng Li

DOI
https://doi.org/10.3390/buildings12030385
Journal volume & issue
Vol. 12, no. 3
p. 385

Abstract

Read online

Quantifying the energy consumption of buildings is a complex and multi-scale task, with the entire process dependent on input data and urban surroundings. However, most urban energy models do not account for the urban environment. This paper employs a physical-based, bottom-up method to predict urban building operating energy consumption, using imported topography to consider shading effects on buildings. This method has proven to be feasible and aligned well with the benchmark. Research also suggests that commercial and transport buildings have the highest energy use intensity, significantly more than residential and office buildings. Specifically, cooling demands far outweigh heating demands for these building types. Therefore, buildings in the commercial and transportation sectors would receive greater consideration for energy efficiency and improvements to the cooling system would be a priority. Additionally, the method developed for predicting building energy demand at an urban scale can also be replicated in practice.

Keywords