<div class="csl-bib-body">
<div class="csl-entry">Schwarzmayr, P., Birkelbach, F., Kasper, L., & Hofmann, R. (2022). Development of a Digital Twin Platform for Industrial Energy Systems. In Jinyue Yan (Ed.), <i>Energy Proceedings Volume 25: Accelerated Energy Innovations and Emerging Technologies</i>. Scanditale AB. http://hdl.handle.net/20.500.12708/136382</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/136382
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dc.description
thermal energy storage, digital twin, packed bed, energy efficiency, waste heat recovery, decarbonization, industrial energy systems
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dc.description.abstract
The reduction of waste heat in energy intensive industrial processes in combination with digital technologies will play a key role for the development and decarbonization of modern industrial energy systems. In the last few years, a significant share of the CO2 related to energy was emitted by the industry sector. Since industrial processes often are batch processes, waste heat recovery in these processes requires thermal energy storage systems for closing the temporal gap between energy supply and demand. The ongoing digitalization in the field of industrial energy systems enables modern applications like digital twins to increase the efficiency of energy intensive processes. This paper presents the implementation of a five-dimensional digital twin platform for a packed bed thermal energy storage test rig. The five-dimensional digital twin platform allows the development of services and applications in interdisciplinary teams and facilitates their interaction on a standardized platform. By that the digital twin helps to make modern industrial energy systems more efficient.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.relation.ispartofseries
Energy Proceedings
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dc.subject
thermal energy storage
en
dc.subject
digital twins
en
dc.subject
industrial energy systems
en
dc.title
Development of a Digital Twin Platform for Industrial Energy Systems
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.editoraffiliation
KTH Royal Institute of Technology, Sweden
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dc.relation.issn
2004-2965
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dc.relation.grantno
881140
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dcterms.dateSubmitted
2022-06
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Energy Proceedings Volume 25: Accelerated Energy Innovations and Emerging Technologies
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tuw.container.volume
25
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tuw.peerreviewed
true
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tuw.relation.publisher
Scanditale AB
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tuw.relation.publisherplace
Schweden
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tuw.project.title
5D Digital Twin für industrielle Energiesysteme
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tuw.researchTopic.id
C5
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tuw.researchTopic.id
C6
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tuw.researchTopic.id
E3
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tuw.researchTopic.name
Computer Science Foundations
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems