Better Measurements, Better Models: Advances in Measuring and Predicting Thermal Performance
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A version of this article appears in the Fall 2016
issue of Home Energy Magazine.
August 12, 2016
As 2-D and 3-D modeling to predict building performance becomes more widespread, we need to consider what data are feeding those models. At this point, modeling software has become quite sophisticated, and many users don’t know how the underlying algorithms were developed. Most do not appreciate the simplifications made to represent building and assembly geometry, to describe indoor and outdoor climate, or to characterize material properties. Too frequently, we do not calibrate complex models with appropriate measured data. An example of the type of improved measurement that will allow models to be better calibrated comes from data generated using the RDH-Building Science Laboratories (RDH-BSL) Advanced Double-Guarded (ADG) Hot Box.
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