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Digital Twins are not (just) the future

Objectives

To develop an overview of potential Digital Twin application areas for modular construction projects (DT Uses)

• DT Uses are Digital Twin application areas corresponding to key activities in a MC project across its whole lifecycle The DT Uses will be characterised by (1) feasibility (of implementation and adoption), and (2) relevance (emission reduction potential, potential value to partners)

What are Digital Twins?

• Digital Twins are a network of semantically linked virtual model(s) and technologies, which together generate a realtime smart digital representation of a physical system (entities and/or processes), capable of bi-directional communication (with or without human intervention) between the physical system and the digital representation, with the goal to collect and combine dynamic data with static (historical) data and to exploit it to generate value in the current and/or subsequent lifecycle phases of the physical system.

What can Digital Twins do?

• Digital Twins do not have a set composition; they can be created by combining any type of virtual model and technologies (represented in the illustration DT Concept)

• The application areas of DT are direct data related Further, the same data can provide insights into multiple areas through different types of analysis.

• As such, potential practical applications of DTs are endless, as it directly depends on the type and extent of data collected, types of technologies adopted and types of virtual models deployed

• However, based on literature and the defined characteristics, it can be argued that these application areas almost always fall under one of five broad categories, shown in the main illustration, DT Use categories

*Contact: i.pottachola@utwente.nl

To develop associated Information System (IS) architectures for key Digital Twin applications in the context of the project partner companies

• Information Systems (IS) in IT are the combination of software and hardware systems required to support data-intensive applications. It will include (1) the business processes, (2) software & hardware resources, and (3) data & information (resources), required to support the development and implementation of Digital Twins in the project partners’ contexts.

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