This open source Modelica library contains an integrated modeling framework and component听models for designing coupled energy, transportation, and communication systems.听The听framework features a听multi-level, multi-layer, multi-agent (3M) approach in order to enable flexible modeling of the interconnected systems. Various component听and system-level models are included as the testbed of future SCCs in order to assess the impact of infrastructure interdependencies during typical听operation.听This modeling framework can 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.
Software Download
The development site of this software is at:听.
Release Notes
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07/28/2020:听SCC-Smart-City library V1.1听.
- Updates the case study models and includes the tutorial models.
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03/27/2019: SCC-Smart-City library V1.0 .
- First release of the library. It contains component and system models supporting city-scale interdependent energy, transportation, and communication system modeling.
Acknowledgement
The听 SCC library is the outome of the project "BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities"听sponsored by the National Science Foundation (Awad No.听IIS-1802017). The project website is .听
Related Publications
X. Lu, K. Hinkelman, Y. Fu, J. Wang, W. Zuo, Q. Zhang, W. Saad 2019. 鈥�.鈥� IEEE Access, 7, pp. 55458-55476.
X. Lu, Y. Fu, W. Zuo 2018. 鈥�.鈥� 2018 ASHRAE Building Performance Analysis Conference and SimBuild (BPACS 2018),听pp. 250-257, September 26-28, Chicago, IL.
Presentations
K. Hinkelman 2020 "",听American Modelica Conference 2020, September.
Workshop
J. Wang, S. Huang, W. Zuo 2020 "",听the free workshop on "Cyber-physical System Modeling using Modelica for Smart and Sustainable Communities" on September 18.