Whole model empirical validation on a full-scale building

Paul Strachan, Katalin Svehla, Ingo Heusler, Matthias Kersken

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

This paper describes an empirical validation study undertaken on two identical full‐size buildings within the scope of the IEA ECB Annex 58 project. Details of the experimental configuration and monitoring are included, together with results from measurements and from predictions made by 21 modelling teams using commercial and research simulation programs. The two month side‐by‐side experiment was undertaken on buildings with high levels of thermal mass and in a period with high solar gains. The detailed specification and associated measurement data provide a useful empirical validation dataset for program testing. Results from the modelling demonstrate good agreement between measured data and predictions for a number of programs, both in absolute predictions of temperatures and heat inputs as well as dynamic response. On the other hand, a significant number of user input errors resulted in poor agreement for other programs, especially in the blind validation phase of the modelling methodology.
LanguageEnglish
Number of pages39
JournalJournal of Building Performance Simulation
Early online date18 Sep 2015
DOIs
Publication statusPublished - 2016

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Empirical Model
Prediction
Modeling
Dynamic response
Dynamic Response
Specifications
Monitoring
Heat
Testing
Specification
Configuration
Methodology
Experiments
Demonstrate
Experiment
Temperature
Simulation
Hot Temperature
Buildings

Keywords

  • empirical validation
  • IEA Annex 58
  • dynamic thermal modelling

Cite this

Strachan, Paul ; Svehla, Katalin ; Heusler, Ingo ; Kersken, Matthias. / Whole model empirical validation on a full-scale building. In: Journal of Building Performance Simulation. 2016.
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Whole model empirical validation on a full-scale building. / Strachan, Paul; Svehla, Katalin; Heusler, Ingo; Kersken, Matthias.

In: Journal of Building Performance Simulation, 2016.

Research output: Contribution to journalArticle

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