Developing Digital Twins for energy efficiency in the production phase of products
Procedia CIRP, ISSN: 2212-8271, Vol: 122, Page: 933-938
2024
- 18Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures18
- Readers18
- 18
Article Description
The relevance of digital solutions to enable sustainable value creation, the monitoring and ultimately the reduction of the environmental footprint has increased. New information technologies and increased data availability along a product's lifecycle offer more tools to assess product sustainability than ever before. This paper presents how a Digital Twin needs to be designed to help monitor product-level energy efficiency and how such a Digital Twin can be implemented. State-of-the-art research on Digital Twins and their development, lifecycle assessment, and energy efficiency are introduced. There is a lack of evaluated implementations of methodical DT development in different scenarios, especially for the evaluation of product-level energy efficiency during production. Results of a research project with the focus on the development and implementation of Digital Twins are presented. The use case is set within the scenario of the sequential development of a product simultaneously with the development of the Digital Twin. The focus is put on the implementation of an energy consumption prediction and product carbon footprint analytics module as part of the Digital Twin. The development approach is presented and recommendations for the development of future Digital Twins are derived.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2212827124001690; http://dx.doi.org/10.1016/j.procir.2024.01.126; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85193536769&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2212827124001690; https://dx.doi.org/10.1016/j.procir.2024.01.126
Elsevier BV
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