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      Component-Based Modelling for Scalable Smart City Systems Interoperability: A Case Study on Integrating Energy Demand Response Systems

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          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.

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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                28 October 2016
                November 2016
                : 16
                : 11
                : 1810
                Affiliations
                [1 ]School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK
                [2 ]Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA; xc3@ 123456illinois.edu
                [3 ]Centre for Research and Innovation in Software Engineering, Southwest University, Chongqing 400700, China; zhimingliu88@ 123456swu.edu.cn
                [4 ]Networks Department, Simula Research Laboratory, Fornebu 1364, Norway; sabita@ 123456simula.no
                [5 ]School of Engineering, London South Bank University, London SE1 0AA, UK; jonathan.bowen@ 123456lsbu.ac.uk
                Author notes
                [* ]Correspondence: esther.palomar@ 123456bcu.ac.uk ; Tel.: +34-121-202-2442
                Article
                sensors-16-01810
                10.3390/s16111810
                5134469
                27801829
                b9bb7a93-b799-44f9-a01b-a83370a1651e
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 August 2016
                : 24 October 2016
                Categories
                Article

                Biomedical engineering
                smart city system modelling,component-based architecture design,component system interoperability and coordination,scalable modelling,cooperative demand response

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