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dc.contributor.authorLu, Xingen
dc.contributor.authorHinkelman, Kathrynen
dc.contributor.authorFu, Yangyangen
dc.contributor.authorWang, Jingen
dc.contributor.authorZuo, Wangdaen
dc.contributor.authorZhang, Qianqianen
dc.contributor.authorSaad, Waliden
dc.date.accessioned2019-08-14T16:37:58Z
dc.date.available2019-08-14T16:37:58Z
dc.date.issued2019en
dc.identifier.urihttp://hdl.handle.net/10919/93132
dc.description.abstractInfrastructure in future smart and connected communities is envisioned as an aggregate of public services, including energy, transportation, and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert the underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among these systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open-source, flexible, integrated modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible modeling of the interconnected systems. Then, for the framework's proof of concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based object-oriented modeling language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, and energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power drawn from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed modeling framework also has the potential to be further extended for various modeling purposes and use cases, such as dynamic modeling and optimization, resilience analysis, and integrated decision making in future connected communities.en
dc.description.sponsorshipNational Science Foundation through the BIGDATA Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities [IIS-1802017, IIS-1633363]en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 3.0en
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectCommunitiesen
dc.subjectinterconnected systemsen
dc.subjectModelicaen
dc.subjectmodelingen
dc.subjectmulti-infrastructure systemsen
dc.subjectobject oriented methodsen
dc.subjectopen source softwareen
dc.titleAn Open Source Modeling Framework for Interdependent Energy-Transportation-Communication Infrastructure in Smart and Connected Communitiesen
dc.typeArticle - Refereeden
dc.description.notesThis work was supported by the National Science Foundation through the BIGDATA Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities under Award IIS-1802017 and Award IIS-1633363.en
dc.title.serialIEEE Accessen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2913630en
dc.identifier.volume7en
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen
dc.identifier.eissn2169-3536en


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License: Creative Commons Attribution 3.0