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Associated projects

The currently running/accepted projects that are associated with the AU Centre for Digital Twins are (each of them are also described in more detail with their own web pages):  

  • DiT4CPS (2019-23): This is the basic research project supported by the Poul Due Jensen Foundation which started this collection of research in digital twins using models that can be used in a co-simulation setting.

  • HUBCAP (2020-22): This is an Innovation Action supported by the H2020 targeting establishing a web-based collaboration platform for the development of Model-Based Design assets (e.g. tools and models) with a sandbox capability. This is a generic project supporting model-based solutions that also can be used in a digital twin context.
  • AgroRobottiFleet (2020-23): This is a grand solution project supported by Innovation Foundation Denmark which is targeting support for fleets of autonomous robots (Robottis) in an agricultural setting. Here there is a digital twin angle where safety can be handled by going into degraded mode when needed.

  • MADE FAST (2020-24): This is also a grand solution project supported by Innovation Foundation Denmark which is a follow up project to MADE SPIR and MADE Digital with the overall vision is to make Denmark the world's leading manufacturing nation. MADE FAST contains a list of part projects in close collaboration with major Danish companies and the majority of these are related to digital twins containing a combination of inductive models and first principle models.

  • DIGITbrain (2020-23): This is an Innovation Action supported by the H2020 targeting enabling customised industrial products with a full lifecycle digital twin capability right from the manufacturing of such products. This includes exploring assisting SMEs with Manufacturing as a Service assisting SMEs with getting started producing such projects.

  • UPSIM (2020-23): This is a Research and Development project supported by the ITEA framework. The aim of UPSIM is to enable companies to safely collaborate with simulations, in a repeatable, reliable, and robust manner, and for implementing simulation in a Credible Digital Twin setting as a strategic capability to become an important factor in quality, cost, time-to-market, and overall competitiveness.

  • CuBER (2020-23):  The CuBER project proposes the validation of a promising redox-flow battery (RFB) technology, the all-copper redox flow battery (CuRFB), to enable a larger share of renewable energy on the grid. As a co-activity of the project, CUBER will also look at the development of a digital twin for a RFB battery.

  • HELIOS (2021-24):  The HELIOS project aims at developing and integrating innovative materials, designs, technologies and processes to create a new concept of smart, modular and scalable battery pack for a wide range of electric vehicles used in urban electromobility services, from mid-size full-electric vehicles to electric buses, with improved performance, energy density, safety and Levelized Cost of Storage (LCoS). Part of its WP6 focuses on the development of Digital Twin for a cloud-based battery management solution.

  • BIM2TWIN (2020-24): This is sponsored by the European Commission’s Horizons 2020 Framework Programme through its Digital Twins call for proposals. It is titled “BIM2TWIN: Optimal Construction Management & Production Control” and it aims to build a Digital Building Twin (DBT) platform that provides full situational awareness for construction management by implementing lean principles to reduce operational waste of all kinds, shorten schedules, reduce carbon footprint and costs, and enhance quality and safety. It supports a closed loop Plan-Do-Check-Act mode of construction and an extensive set of construction management applications. 

  • COGITO (2020-24): This award is a H2020 grant funding safety and health applications in infrastructure construction through Digital Twins.​ The aim of COGITO is to provide an optimal combination of knowledge, expertise and experience in a variety of real-time progress monitoring technologies, artificial intelligence, information schema, construction management, equipment automation and occupational safety and health.