Bing Dong, Ph.D.Candidate
Center for Building Performance and Diganostics
Department of Architecture

Carnegie Mellon University
College of Fine Arts
 PROFILE RESEARCH COURSES INFORMATION PROJECTS PROGRAMMING CONTACT

  TEACHING

48721(S10)
PUBLICATIONS
Adjunct Instructor:

48721 Building controls and diagnostics.(Graduate Level).SPRING 2010

Teaching Assistant/Co-Teach:

48722 Building Performance Modelling (Graduate Level).FALL 2006, 2007, 2008,2009

This course introduces fundamentals and computational methods in building performance modelling. Topics include:

  • Theoretical foundations of modelling and representation
  • Modelling and design
  • Overview of thermal domain knowledge
  • Integration of performance simulation in computer-aided design
  • Introduction to the application of advanced computational building simulation tools, with special focus on Energy Simulation
  • Case studies and design assignments on the application of simulation in the evaluation and improvement of building performance.

Simulation tools used in class are:

EnergyPlus, eQuest, ECOTECT, DesignBuilder, Green Building Studio web tool,Revit v9.1,v2009,v2010.

48721 Building controls and diagnostics.(Graduate Level).SPRING 2007,2008,2009

This course introduces the concepts and methods of building control and diagnostics. These are addressed both theoretically and practically, through case studies and the application of field measurement techniques.

Topics include:

  • Empirical evaluation of the built environment ¨C
    • performance of building systems and components
    • interactions between occupants and buildings with regard to multiple environmental performance criteria (thermal, visual and acoustic).
  • Field measurement and evaluation techniques.
  • Empirical methods of building analysis to:
    • describe / specify building components
    • study the real-time behaviour of buildings
  • Data processing techniques for the analysis and interpretation of the results of field studies.
  • Building control techniques, logic and hardware
  • Advanced methods of predictive control

Tools used in class are:

LabView, MATLAB.