Sponsored by National Science Foundation (NSF)

Smart and connected communities

The goal of this project is to develop a new planning framework for smart, connected and sustainable communities that allows meeting such zero energy, zero outage, and zero congestions goals by optimally deciding on how, when, and where to deploy or upgrade a community's infrastructure. By bringing together interdisciplinary domain experts from data science, electrical engineering, and civil and architectural engineering, this research will yield several innovations: 

  1. Novel big data techniques for faithfully creating spatiotemporal models for smart communities that integrate data from heterogeneous sources and shed light on the composition and operation of a given smart community;
  2. Novel, data driven performance metrics that advance powerful mathematical tools from stochastic geometry to explicitly quantify the health of smart communities via tractable notions of zero energy, zero outage, and zero congestion;
  3. Advanced analytical tools that bring forward novel ideas from optimization theory to devise the most effective strategies for deploying, upgrading, and operating various community infrastructure nodes, given the scale, dynamics, and structure of both the data and the community;
  4. A virtual smart community testbed that can accurately reconstruct, simulate, and evaluate the theoretical framework by leveraging open nonproprietary real world big data sets.

Go to project website to read more

Project Team

Faculty:

wangdazuoWangda Zuo, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
wangda.zuo@colorado.edu

 

Graduate Students:

jingwangJing Wang, M.S. 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
jing.wang@colorado.edu

 

katyKaty Hinkelman, M.S., EIT 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
kathryn.hinkelman@colorado.edu

 

saranyaSaranya Anbarasu, M.S. 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
saan1256@colorado.edu

 

mingzheMingzhe Liu, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
mingzhe.liu@colorado.edu

 

chengnanChengnan Shi, M.S. 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
chengnan.shi@colorado.edu

 

yingliYingli Lou, M.S. 
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
yingli.lou@colorado.edu

 

yizhiYizhi Yang, M.S,
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
yizhi.yang@colorado.edu

 

Collaborators

Resulted Open Source Libraries

This project has developed two open source Modelica libraries:

Press Release

Publications

Journal articles

Conference Proceedings

Presentations

K. Hinkelman 2020 "A Modeling Framework to Evaluate Energy, Transportation, and Communication Interdependence in Smart and Connected Communities", American Modelica Conference 2020, September.

Workshop

J. Wang, S. Huang, W. Zuo 2020 "Cyber-Physical System Modeling using Modelica for Smart and Sustainable Communities", the free workshop on "Cyber-physical System Modeling using Modelica for Smart and Sustainable Communities" on September 18.