Inverse modeling to predict and characterize indoor climates

R.P. Kramer, A.W.M. Schijndel, van, H.L. Schellen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

55 Citations (Scopus)
70 Downloads (Pure)

Abstract

Computational research on monumental buildings yields three problems regarding current building models: tedious modelling, relatively long simulation times, difficult to characterize the building by models parameters. A simplified building model with physical meaning is developed which is capable of simulating indoor temperature and humidity. The parameters of the model are identified by an optimization algorithm which fits the output of the model to measurements. The method consisted of: developing simplified building models based on insights from a literature review; fitting the models to a 17th century castle’s indoor climate; based on three criteria the best performing model is chosen and validated. The validation consisted of: residual analysis; applying the chosen model to a 16th century Cathedral, a parameter analysis. Concluding: inverse modelling is applied successfully to reproduce the free floating indoor climate of monumental buildings; characterization of the building remains a challenge.
Original languageEnglish
Title of host publicationContributions to building physics : proceedings of the 2nd central European conference on building physics, 9-11 September 2013, Vienna, Austria
EditorsA. Mahdavi, B. Martens
Place of PublicationVienna
PublisherVienna University of Technology
Pages101-108
ISBN (Print)978-3-85437-321-6
Publication statusPublished - 2013

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