Proceedings of the 2021 European Conference on Computing in Construction


A multi-dimensional digital twin use cases classification framework

Ramy Al-Sehrawy, Bimal Kumar, Richard Watson
Northumbria University, United Kingdom

DOI: 10.35490/EC3.2021.201
Abstract: The concept of a Digital Twin [DT] has been gaining increasing attention in the realm of urban planning and city infrastructure management. In support of this movement, DT advocates have been consistently casting light on the possible DT use cases to better manifest its potentail and the value it promises to unlock. However, these attempts are arguably limited by the lack of a standard and formal DT use cases classification framework. Hence, this paper puts forward a multi-dimensional DT use cases classification framework, based on published key DT case studies and a framework development methodology, to address this limitation.
Keywords: Building Automation System (BAS), Building Information Modelling (BIM), Interoperability, Demand Side Management (DSM), Smart Grid Ready Building (SGRB)
Pages: 381 - 389

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