Optimizing Building Energy Systems through BIM-enabled georeferenced Digital Twins

Abstract. Building energy system management is critical for resource-saving approaches amid climate change-driven energy transitions. This paper presents a digital twin toolchain leveraging modern technologies such as Building Information Modeling (BIM), Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR). The toolchain automates the derivation of georeferenced digital twins during Technical Building Equipment (TBE) commissioning. Using a Scan vs. BIM process, discrepancies between as-planned and as-built TBE are identified, allowing automatic updates to the BIM model. Validation methods ensure both physical and functional aspects of the TBE are accurate. VR and AR facilitate off- and on-site commissioning, enabling immersive visualization and live sensor data access. An evaluation in small and large-scale demonstrators shows the toolchain's scalability and efficiency, with promising results in performance and accuracy. Future work aims to integrate more operational data, enhancing the digital twin's capabilities for building energy system management.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Optimizing Building Energy Systems through BIM-enabled georeferenced Digital Twins ; volume:XLVIII-4/W11-2024 ; year:2024 ; pages:1-8 ; extent:8 ; The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-4/W11-2024 (2024), 1-8 (gesamt 8)

Beteiligte, Orts- und Zeitangaben

• Urheber: Blut, Christoph ; Becker, Ralf ; Kinnen, Tristan ; Schluetter, Dominik ; Emunds, Christoph ; Frisch, Jérôme ; Heidermann, Dirk ; Wenthe, Matthias ; Rettig, Tobias ; Baranski, Marc ; Treeck, Christoph van ; Blankenbach, Jörg

Weitere Informationen

• DOI: 10.5194/isprs-archives-XLVIII-4-W11-2024-1-2024
• URN: urn:nbn:de:101:1-2408061101569.980960394712
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 10:52 MESZ