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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bagnato, Alessandra Couto, Luis Diogo Quadri, Imran Mady, Alie El-Din Basagiannis, Stylianos Sadovykh, Andrey Hasanagic, Miran |
| Abstract | Current approaches to building Cyber Physical systems including Energy Management Systems (EMS) design often rely on large monolithic models to represent the EMS. These models are typically abstract and simple to aid with performance. However, they can lack fidelity and detail, particularly with regards to physical aspects. This makes it challenging to extract valuable and accurate data from these models, such as sustainability metrics. Our approach to this problem is to employ a Cyber-Physical Systems Model-Based Design methodology that enables the use of various specialised multi-disciplinary models through Functional Mock-up Interface (FMI) and a common integration platform based on SysML. We apply the approach to a heating, ventilation and air conditioning case study and show how the resulting data can be used to evaluate a design. In addition, we discuss how the approach supports the inclusion of dedicated models for the generation of precise sustainability metrics. |
| Starting Page | 1 |
| Ending Page | 5 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450348843 |
| DOI | 10.1145/3022211.3022212 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Model-based design Cyber-physical systems Co-simulation Building automation |
| Content Type | Text |
| Resource Type | Article |
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