This open source Modelica library contains an integrated modeling framework and component models for designing coupled energy, transportation, and communication systems. The framework features a multi-level, multi-layer, multi-agent (3M) approach in order to enable flexible modeling of the interconnected systems. Various component and system-level models are included as the testbed of future SCCs in order to assess the impact of infrastructure interdependencies during typical operation. 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.
The development site of this software is at: https://bitbucket.org/sbslab-zuo/scc-smart-city.
The SCC library is the outome of the project "BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities" sponsored by the National Science Foundation (Awad No. IIS-1802017). The project website is here.
X. Lu, K. Hinkelman, Y. Fu, J. Wang, W. Zuo, Q. Zhang, W. Saad 2019. “An Open Source Modeling Framework for Interdependent Energy-Transportation-Communication Infrastructure in Smart and Connected Communities.” IEEE Access, 7, pp. 55458-55476.
X. Lu, Y. Fu, W. Zuo 2018. “Modeling of Smart Community Infrastructure Accounting for the Interdependencies among Energy, Transportation and Communication Networks.” 2018 ASHRAE Building Performance Analysis Conference and SimBuild (BPACS 2018), pp. 250-257, September 26-28, Chicago, IL.