Using Digital Models to Decarbonize a Production Site: A Case Study of Connecting the Building Model, Production Model and Energy Model

Isabella Deininger, Bernd Koch, Ralph Bauknecht, Mathias Langhans, Christoph Falk, Andreas Trautmann, Konrad Nübel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rapid growth of digital technology has facilitated industry progress, while industrial CO2 emissions are a major issue to be confronted. Digital Twins can play a major role but so far, they have no common norms, standards, or models yet. On top of this, the majority in literature uses the term Digital Twin, but only a few sources are really describing a Digital Twin, whereby it describes a bidirectional data transfer between the real model and the software model. Until now, Digital Twins focus on a single area of interest and do not consider the broader challenge of CO2 emissions. This study gives an example how to predict CO2 emissions for the operation of a production site by merging three Digital Models (Building, Production, and Energy Model). This approach demonstrates how CO2 emissions can be reduced during operation by selecting an appropriate production scenario and a specific energy source mix in the planning phase. The core task is to enable energy demand reduction by simulating different production scenarios and to identify the best energy source mix with the resulting CO2 emissions visible. The case study shows that by merging the three Digital Models, it is possible to create an overview of the expected CO2 emissions which can be used as a basis for further developments for Digital Twins. However, the case study has shown that only manual data exchange between the models was possible. Further developments enabling a common data exchange and the connection of the interdisciplinary digital models through a shared language are urgently needed to speed up developments for Digital Twins and shape an interdisciplinary industry approach.

Original languageEnglish
Title of host publicationConstruction Logistics, Equipment, and Robotics - Proceedings of the CLEaR Conference 2023
EditorsJohannes Fottner, Konrad Nübel, Dominik Matt
PublisherSpringer Science and Business Media Deutschland GmbH
Pages69-76
Number of pages8
ISBN (Print)9783031440205
DOIs
StatePublished - 2024
EventInternational Conference on Construction Logistics, Equipment, and Robotics, CLEaR 2023 - Munich , Germany
Duration: 9 Oct 202311 Oct 2023

Publication series

NameLecture Notes in Civil Engineering
Volume390 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

ConferenceInternational Conference on Construction Logistics, Equipment, and Robotics, CLEaR 2023
Country/TerritoryGermany
CityMunich
Period9/10/2311/10/23

Keywords

  • BIM
  • Building Model
  • Carbon Dioxide Emissions
  • Decarbonization
  • Digital Model
  • Digital Twin
  • Energy Model
  • Production Model

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