Model-driven Digital Twins for AECO

URN to cite this document:: urn:nbn:de:bvb:355-epub-776664
DOI to cite this document:: 10.5283/epub.77666

Zech, Philipp ; Goldin, Emanuele ; Senoner, Simon ; Michael, Judith

; Hammes, Sascha

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Date of publication of this fulltext: 09 Sep 2025 05:44

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Item type:	Conference or workshop item (Paper)
Date:	9 July 2025
Institutions:	Informatics and Data Science > General computer science > Chair of Programming and Software Engineering (Prof. Dr. Judith Michael)
Projects (Historical):	Austrian Research Promotion Agency (FFG) under Grant Agreement No.: 898708, TwinLight, Austrian Research Promotion Agency (FFG) under Grant Agreement No.: 910225, BOREALIS
Keywords:	Model-driven Engineering, Model-driven Deployment, Building Information Modeling, Digital Twins, Unreal Engine
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science 600 Technology > 620 Engineering & allied operations 700 Arts & recreation > 720 Architecture
Status:	In Press
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Partially
Item ID:	77666

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Abstract

Digital Twins (DTs) are becoming central to the architecture, engineering, construction and operations (AECO) domain, enabling real-time monitoring, simulation, and life cycle encompassing optimization of building operations through unified virtual representations of physical assets. However, practical deployment remains challenging due to fragmented data sources, domain-specific engineering ...