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Challenges and possible approaches for sustainable digital twinning

Published: 09 November 2022 Publication History

Abstract

The advance in digital twin technology is creating value for lots of companies. We look at the digital twin design and operation from a sustainability perspective. We identify some challenges related to a digital twin's sustainable design and operation. Finally, we look at some possible approaches, grounded in multi-paradigm modelling to help us create and deploy more sustainable twins.

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Cited By

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  • (2024)Circular systems engineeringSoftware and Systems Modeling (SoSyM)10.1007/s10270-024-01154-423:2(269-283)Online publication date: 29-Feb-2024
  • (2023)Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00147(934-938)Online publication date: 1-Oct-2023

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Published In

cover image ACM Conferences
MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
October 2022
1003 pages
ISBN:9781450394673
DOI:10.1145/3550356
  • Conference Chairs:
  • Thomas Kühn,
  • Vasco Sousa
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • Univ. of Montreal: University of Montreal
  • IEEE CS

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 November 2022

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Author Tags

  1. datasets
  2. gaze detection
  3. neural networks
  4. text tagging

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Cited By

View all
  • (2024)Circular systems engineeringSoftware and Systems Modeling (SoSyM)10.1007/s10270-024-01154-423:2(269-283)Online publication date: 29-Feb-2024
  • (2023)Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00147(934-938)Online publication date: 1-Oct-2023

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