4- 1Research Institute for Regional and Urban Development, Dortmund, Germany (shaojuan.xu@ils-forschung.de)
- 2Dept. of Geography, Humboldt University of Berlin, Berlin, Germany (shaojuan.xu@hu-berlin.de)
- 3Miramap Aerial Surveys, Houten, Netherlands (rhaarbrink@miramap.com)
- 4Stuttgart Technology University of Applied Sciences, Germany (thunyathep.santhanavanich@hft-stuttgart.de)
For many cities, the energy consumed for building heating and cooling is responsible for over half of the total CO2 emissions. The prevalence of low energy-efficient buildings, especially those predating the implementation of energy efficiency standards, poses a significant hurdle for cities striving to achieve climate neutrality. To make matters worse, increasing energy prices lead to numerous households being unable to afford adequate heating and cooling, jeopardising their health and well-being.
Our study uses aerial survey, thermal remote sensing, and city modelling techniques to build a 3D thermographic model, aiming to investigate building energy leaks at a city scale. First, we conducted aerial surveys at night during the cold season to avoid sun radiation and better capture building heat losses. Second, we used texture matching to attach thermal images on LoD2 building models as building textures. Thirdly, we integrate building renovation-related data as attributes of each building, such as energy consumption, building type, year of construction and renovation potential. Lastly, we will use 3DCityDB as the backend and CesiumJS as the front end to develop a 3D web client. Moreover, to tackle the energy poverty problem, we further integrate social-economic data and energy poverty indicators into our 3D WebGIS application.
Multi-stakeholders will use our modelling results to improve energy efficiency and reduce CO2 emissions. More specifically, the 3D model provides property owners with an intuitive way to detect heat loss, support their actions in building renovation, and reduce energy costs. Our modelling will support the city renewal offices for their building energy consultant services. The identified information on energy poverty households will be used by the social welfare offices for their social actions in low-income neighbourhoods.
The overall goal of our study is to support decision-makers in their action on building energy renovation and energy justice in practice.
How to cite: Xu, S., Haarbrink, R., and Santhanavanich, T.: A City-scale 3D Thermographic Model for Building Energy Efficiency and Energy Justice, 12th International Conference on Urban Climate, Rotterdam, The Netherlands, 7–11 Jul 2025, ICUC12-1027, https://doi.org/10.5194/icuc12-1027, 2025.
Supporters & sponsors
