AuthorsE. Palomar, X. Chen, Z. Liu, S. Maharjan and J. Bowen
TitleComponent-Based Modelling for Scalable Smart City Systems Interoperability: A Case Study on Integrating Energy Demand Response Systems
Afilliation, Communication Systems, Communication Systems
Project(s)The Center for Resilient Networks and Applications
StatusPublished
Publication TypeJournal Article
Year of Publication2016
JournalSensors
Volume16
Issue11
Date Published10/2016
PublisherSensors
Keywordscomponent system interoperability and coordination, component-based architecture design, cooperative demand response, scalable modelling, smart city system modelling
Abstract

Smart city systems embrace major challenges associated with climate change, energy efficiency, mobility and future services by embedding the virtual space into a complex cyber-physical system. Those systems are constantly evolving and scaling up, involving a wide range of integration among users, devices, utilities, public services and also policies. Modelling such complex dynamic systems’ architectures has always been essential for the development and application of techniques/tools to support design and deployment of integration of new components, as well as for the analysis, verification, simulation and testing to ensure trustworthiness. This article reports on the definition and implementation of a scalable component-based architecture that supports a cooperative energy demand response (DR) system coordinating energy usage between neighbouring households. The proposed architecture, called refinement of Cyber-Physical Component Systems (rCPCS), which extends the refinement calculus for component and object system (rCOS) modelling method, is implemented using Eclipse Extensible Coordination Tools (ECT), i.e., Reo coordination language. With rCPCS implementation in Reo, we specify the communication, synchronisation and co-operation amongst the heterogeneous components of the system assuring, by design scalability and the interoperability, correctness of component cooperation.

URLhttp://www.mdpi.com/1424-8220/16/11/1810/htm
DOI10.3390/s16111810
Citation Key24903