Assessing the significance of design changes when simulating building performance including the effects of uncertain input data

AuthorSearch for:
TypeArticle
ConferenceeSim '04, 2004, Vancouver BC, Canada
AbstractComputer simulation of buildings is currently used to predict their performance and the effect of design changes. The effect on predictions caused by uncertain-ties in the input data is rarely assessed. However, if it is quantified the performance of the simulated building can be described as a range of possibilities given the inherent uncertainty in the input data. This paper takes the process further, assessing the effect of uncertainty for an initial model and a model incorpo-rating a design change. It then describes how to use sta-tistical tests to quantify the significance of the change in performance: i.e. has the design change produced a real difference to the buildings performance, or is the change in performance lost in the error band of the predictions. In this paper the method of quantifying the overall ef-fect of uncertainties on predictions and how to differen-tiate between a significant and insignificant change is de-scribed. This is then applied to two case studies to exem-plify the importance of quantifying the effect of uncertainties.
LanguageEnglish
Peer reviewedYes
NPARC number21274053
Export citationExport as RIS
Report a correctionReport a correction
Record identifierf3230281-8ee7-4a39-9520-165a8b01272b
Record created2015-02-10
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)