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GIS-AWBEM: GIS-based Automated White-Box Building Energy Modeling

Tajalli-Ardekani, Erfan ORCID iD icon 1; Cheng, Haozhen ORCID iD icon 1; Kocher, Alexander ORCID iD icon 1; Kovačević, Jovana ORCID iD icon 1; Waczowicz, Simon ORCID iD icon 1; Çakmak, Hüseyin K. ORCID iD icon 1; Delibra, Giovanni ; Corsini, Alessandro ; Hagenmeyer, Veit ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

Studying urban district energy transitions requires a flexible and detailed building-specific energy performance analysis. This article presents an open-source Geographic Information System (GIS)-based framework for conducting white-box Urban Building Energy Modeling (UBEM) analysis via a bottom-up approach. The proposed methodology uses available geospatial data to construct 3D building envelopes and equip them with detailed physics-based Heating, Ventilation, and Air Conditioning (HVAC) systems. For each building, both the building envelope and energy system are modeled using the open-source building simulation software EnergyPlus, which is freely available and computationally efficient. The framework is applied to a typical district with 241 buildings in south-west Germany, where its capabilities are showcased by providing dynamic insights into load and HVAC system performance. Three scenarios are studied to: 1) calculate the buildings and entire district demands, 2) simulate the traditional HVAC system comprised of gas-fired boilers and cooling coils, and 3) represent the future HVAC system implementing heat pumps for both heating and cooling purposes. ... mehr


Originalveröffentlichung
DOI: 10.1109/OSMSES69376.2026.11457217
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2026
Sprache Englisch
Identifikator ISBN: 979-8-3315-4501-7
KITopen-ID: 1000191877
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Weitere HGF-Programme 37.12.01 (POF IV, LK 01) Digitalization & System Technology for Flexibility Solutions
37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in 2026 Open Source Modelling and Simulation of Energy Systems (OSMSES)
Veranstaltung 4th Open Source Modelling and Simulation of Energy Systems (OSMSES 2026), Karlsruhe, Deutschland, 23.03.2026 – 25.03.2026
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1–6
Serie Conferences
Vorab online veröffentlicht am 31.03.2026
Schlagwörter Building Energy Modeling, District Energy Modeling, HVAC, Automated Framework, EnergyPlus
Nachgewiesen in Scopus
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