Regionalized sensitivity analysis with respect to multiple outputs - and an application for real-time building space exploration

Torben Østergård

Research output: Contribution to conference without publisher/journalPosterResearchpeer-review

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Abstract

Building design involves a large number of design parameters and performance indicators. The Monte Carlo method enables the modeler to perform thousands of building performance simulations representing a global design space. To explore such multivariate data (Factor Mapping), the parallel coordinate plot (PCP) is a popular tool, because it is easy to use in “real-time” – even for multiple decision-makers.

However, the PCP becomes unmanageable if it contains many variables, e.g. more than 10–15. Since building simulations typically involve a lot more parameters, we would like to reduce the number of variable inputs (Factor Fixing) while considering their influence towards multiple outputs. Moreover, we would like a method to highlight changes in the PCP, which would allow us to use more variables in the PCP.
Original languageEnglish
Publication dateDec 2016
Number of pages1
Publication statusPublished - Dec 2016
EventEighth International Conference on Sensitivity Analysis of Model Output - 117 rue du Général Ailleret, Le Tampon, Réunion
Duration: 30 Nov 20163 Dec 2016
Conference number: 8
http://samo2016.univ-reunion.fr/

Conference

ConferenceEighth International Conference on Sensitivity Analysis of Model Output
Number8
Location117 rue du Général Ailleret
Country/TerritoryRéunion
CityLe Tampon
Period30/11/201603/12/2016
Internet address

Keywords

  • Sensitivity Analysis
  • Uncertainty analysis

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