A modeling approach supporting digital twin engineering: Optimizing the energy consumption of air conditioning facilities
2023 (engelsk)Inngår i: 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C): Conference Proceedings, IEEE Computer Society, 2023, s. 479-483Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]
Digital Twin (DT) is a concept that has become increasingly relevant in recent years. The basic idea is to connect (physical) facilities or devices with digital representations to monitor, manipulate and predict their behavior in real-time. This work presents a modeling approach supporting DT engineering for air conditioning facilities. We describe the architecture of our system for developing digital representations of physically existing facilities in an industrial use case. The paper focuses on (a) the developed modeling tool, (b) the cloud service configuration, and (c) data analysis that enables energy optimizations.
sted, utgiver, år, opplag, sider
IEEE Computer Society, 2023. s. 479-483
Emneord [en]
Air Conditioning, Atmospheric Modeling, Digital Representation, Reliability Engineering, Data Models, Real Time Systems, Behavioral Sciences, Digital Twin, Model Driven Development, Mod Eling Methodologies, Domain Specific Modeling Language, Object Object Object Object, Object Object, Cloud Computing Object Object Object Object Object Object, Time Series Data, Physical Body Object Object Object Object Object Object, Physical System, Notebook, Domain Experts, Object Object Object Object Object Object, Physical Devices, Need For Solutions, Heat Recovery, Metadata File, Predictive Maintenance, Airflow Direction
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-63354DOI: 10.1109/MODELS-C59198.2023.00083ISBN: 979-8-3503-2498-3 (digital)OAI: oai:DiVA.org:hj-63354DiVA, id: diva2:1828099
Konferanse
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Västerås, Sweden, October 1-6, 2023
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