학술논문

A modeling approach supporting digital twin engineering: Optimizing the energy consumption of air conditioning facilities
Document Type
Source
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). :479-483
Subject
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
Language
English
Abstract
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.

Online Access