麻豆影院

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BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities

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.

Project Team

Faculty:

Wangda Zuo, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
wangda.zuo@colorado.edu

 

Graduate Students:

Jing Wang, M.S. 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
jing.wang@colorado.edu

 

Katy Hinkelman, M.S., EIT 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
kathryn.hinkelman@colorado.edu

 

Saranya Anbarasu, M.S. 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
saan1256@colorado.edu

 

Mingzhe Liu, Ph.D. 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
mingzhe.liu@colorado.edu

 

Chengnan Shi, M.S. 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
chengnan.shi@colorado.edu

 

Yingli Lou, M.S. 
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
yingli.lou@colorado.edu

 

Yizhi Yang, M.S,
Department of Civil, Environmental and Architectural Engineering, 麻豆影院
yizhi.yang@colorado.edu

 

Collaborators

Resulted Open Source Libraries

This project has developed two open source Modelica libraries:

Press Release

Publications

Journal articles

  • J. Wang, S. Huang, W. Zuo, D. Vrabie 2021. 鈥.Energy and Buildings, 252, pp. 111399.
  • S. Huang, J. Wang, Y. Fu, W. Zuo, K. Hinkelman, R. M. Kaiser, D. He, D. Vrabie 2021. 鈥溾. Sustainable Cities and Society, 75, pp. 103255.
  • Y. Ye, K. Hinkelman, Y. Lou, W. Zuo, G. Wang, G., J. Zhang 2021. "" Building Simulation, pp. 1-17.
  • S, Huang, Y. Ye, Di. Wu, W. Zuo 2021. 鈥溾 Energy, 221, pp. 119571.
  • Y. Ye, Y. Lou, W. Zuo, E. Franconi, G. Wang 2020. "" Energy and Buildings, 224, pp. 110267.
  • YY. Ye, Y. Lou, M. Strong, S. Upadhyaya, W. Zuo, G. Wang 2020. "" Science and Technology for the Built Environment, 26 (9), pp. 1321-1336.
  • W. Tian, X. Han, W. Zuo, Q. Wang, Y. Fu, M. Jin 2019. 鈥溾 Energy and Buildings, 199, pp. 342-251.
  • S. Huang, X. Lu, W. Zuo, X. Zhang, C. Liang 2019. "." Building and Environment, 160, pp. 106199.
  • W. Tian, J.W. VanGilder, X. Han, C.M. Healey, M.B. Condor, W. Zuo 2019. 鈥.鈥&苍产蝉辫;ASHRAE Transactions, 125, pp. 141-148.
  • X. Lu, K. Hinkelman, Y. Fu, J. Wang, W. Zuo, Q. Zhang, W. Saad 2019. 鈥.鈥 IEEE Access, 7, pp. 55458-55476.
  • S. Huang, Y. Ye, X. Han, W. Zuo, X. Zhang, L. Jiang 2019. 鈥.鈥 Energy Conversion and Management, 186, pp. 500-515.
  • S. Huang, W. Zuo, H. Lu, C. Liang, X. Zhang 2019. 鈥.鈥 Energy Conversion and Management, 180, pp. 1039-1054.
  • G. Zhou, Y. Ye, W. Zuo,  X. Zhou, X. Xu 2018. 鈥.鈥 Applied Thermal Engineering, 145, pp. 133-146.
  • G. Zhou, Y. Ye, J. Wang, W. Zuo, Y. Fu, X. Zhou 2018. 鈥.鈥 Applied Thermal Engineering, 143, pp. 137-148.

Conference Proceedings

  • S. Anbarasu, K. Hinkelman, W. Zuo. 2022. 鈥溾&苍产蝉辫;The 5th International Conference on Building Energy and Environment (COBEE 2022). July 25-29, Montreal, Canada.
  • Y. Lou, Y. Ye, W. Zuo, J. Zhang 2021. "." Proceeding of the 17th Conference of International Building Performance Simulation Association (Building Simulation 2021), September 1-3, Bruges, Belgium.
  • J. Wang, K.N. Garifi, K.A. Baker, W. Zuo, Y. Zhang 2020. 鈥溾&苍产蝉辫;2020 Building Performance Modeling Conference and SimBuild, Virtual Conference, September 29-October 1.
  • K. Hinkelman, S. Huang, J. Wang, J. Lian, W. Zuo 2019. 鈥溾 Proceeding of the 16th Conference of International Building Performance Simulation Association (Building Simulation 2019), September 2-4, Rome, Italy.
  • W. Tian, J.W. VanGilder, M.B. Condor, X. Han, W. Zuo 2019. 鈥溾 The Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm 2019), May 28-31, Las Vegas, NV. 
  • Q. Wang, Y. Pan,  Z. Huang, W. Zuo, P. Xu 2018. 鈥.鈥&苍产蝉辫;The 4th Asia Conference of International Building Performance Simulation Association - ASim2018, December 3-5, Hong Kong. 
  • X. Lu, Y. Fu, W. Zuo 2018. 鈥.鈥 2018 ASHRAE Building Performance Analysis Conference and SimBuild (BPACS 2018), pp. 250-257, September 26-28, Chicago, IL.

Presentations

K. Hinkelman 2020 "", American Modelica Conference 2020, September.

Workshop

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