ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Citation
Volume IV-4/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W5, 83–90, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W5-83-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W5, 83–90, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W5-83-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  23 Oct 2017

23 Oct 2017

CITYBEM: AN OPEN SOURCE IMPLEMENTATION AND VALIDATION OF MONTHLY HEATING AND COOLING ENERGY NEEDS FOR 3D BUILDINGS IN CITIES

S. M. Murshed1, S. Picard2, and A. Koch1 S. M. Murshed et al.
  • 1European Institute for Energy Research, Emmy-Noether Str. 11, 76131 Karlsruhe, Germany
  • 2École Supérieure d'Électricité, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France

Keywords: Building energy modelling, Heating and cooling needs, 3D city model, Validation, Python, TRNSYS

Abstract. Cities play an important role in reaching local and global targets on energy efficiency and the reduction of greenhouse gas emissions. In order to determine the potential of energy efficiency in the building sector new planning instruments are required that allow depicting the complete building stock on the one hand and investigate detailed measures on the other hand. To pursue this objective, the ISO 13970:2008 monthly heating and cooling energy model is implemented using an open source based software architecture (CityBEM), in connection with data from 3D city models in the CityGML standard (LOD2). Input parameters such as the building geometry, typology and energy characteristics have been associated with the 3D data. The model has been applied to several urban districts with different numbers of buildings in the city of Karlsruhe. In order to test the accuracy of the implemented model and its robustness, a 3-step validation has been conducted. The comparison of simulation results with results based on a TRNSYS simulation showed acceptable results for the studied application cases. The proposed approach can help urban decision makers to perform a city or district wide analysis of the building energy need which can be further used to prepare future scenarios or renovation plans to support decision making.

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