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Characterizing Buildings for Airflow Models: What Should We Measure.


DE2004831114

Publication Date 2004
Personal Author Price, P. N.; Chang, S. C.; Sohn, M. D.
Page Count 12
Abstract Airflow models of buildings require dozens to hundreds of parameter values, depending on the complexity of the building and the level of fidelity desired for the model. Values for many of the parameters are usually subject to very large uncertainties (possibly an order of magnitude). Experiments can be used to calibrate or 'tune' the model: input parameters can be adjusted until predicted quantities match observations. However, experimental time and equipment are always limited and some parameters are hard to measure, so it is generally impractical to perform an exhaustive set of measurements. Consequently, large uncertainties in some parameters typically remain even after tuning the model. We propose a method to help determine which measurements will maximally reduce the uncertainties in those input parameters that have the greatest influence on behavior of interest to researchers. Implications for experimental design are discussed.
Keywords
  • Air flow
  • Buildings
  • Measurements
  • Modeling
  • Input parameter measures
  • Parameters
  • Calibration
  • Accuracy
  • Design
  • Measurement techniques
Source Agency
  • Technical Information Center Oak Ridge Tennessee
Corporate Authors Lawrence Berkeley National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes Sponsored by Department of Energy, Washington, DC.
Document Type Technical Report
NTIS Issue Number 200514
Characterizing Buildings for Airflow Models: What Should We Measure.
Characterizing Buildings for Airflow Models: What Should We Measure.
DE2004831114

  • Air flow
  • Buildings
  • Measurements
  • Modeling
  • Input parameter measures
  • Parameters
  • Calibration
  • Accuracy
  • Design
  • Measurement techniques
  • Technical Information Center Oak Ridge Tennessee
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