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Dr. Wangda Zuo, Department of Civil, Architectural and Environmental Engineering University of Miami

Modeling and Simulation for Cyber-Physical Systems: From Sustainable Building to Smart City


This presentation introduces some of our recent research in developing and applying the next generation modeling and simulation technology for the design, operation and optimization of Cyber-Physical Systems (CPS) pertaining to urban built environment. An equation-based object-oriented modeling language Modelica is adopted for the modeling of the CPS and we developed an open source Modelica Buildings library for building energy and control systems with the support of US Department of Energy (DOE). We will briefly discuss the fundamental challenges in modeling the CPS in urban built environment using the equation-based language. We will then demonstrate the usage of Modelica-based technology using two real world research projects:

  1. Model-based controls optimization for chilled water plants;1. Model-based controls optimization for chilled water plants;
  2. Modeling of a real-world net zero energy community on an island in the Gulf of Mexico.

Finally, we will introduce three new research projects including

  1.  Modeling and optimization of data center cooling funded by DOE;
  2. Modeling and optimization of data center cooling funded by DOE;
  3. Big data analytics for optimized planning of smart, sustainable,and connected communities funded by National Science Foundation (NSF);
  4. Human-centered computational framework for resilient coast cities funded by NSF.


Biographical Profile

Dr. Wangda Zuo is an Assistant Professor at the University of Miami. He is currently Research Committee Chair of IBPSA (International Building Performance Simulation Association)-USA and Affiliate Director of IBPSA. Dr. Zuo is the recipient of IBPSA-USA Emerging Professional Award, Eliahu I. Jury Early Career Research Award, Provost Research Award, and ASHRAE Distinguished Service Award. He has authored and co-authored more than 50 peer-reviewed papers. Before joining the University of Miami, Dr. Zuo was a Research Scientist at the Lawrence Berkeley National Laboratory. He has a Ph.D. degree in Mechanical Engineering from Purdue University, a M.Sc. degree in Computational Engineering from University of Erlangen-Nuremberg in Germany, and an M. Eng and B.Sc. degree in Automation from Chongqing University in China.



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