Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion

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Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion

We introduce a computational framework to statistically infer thermophysical properties of any given wall from in-situ measurements of air temperature and surface heat fluxes. The proposed framework uses these measurements, within a Bayesian calibration approach, to sequentially infer input paramete...

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Bibliographic Details
Main Authors:	De Simon, Lia, Iglesias, Marco, jones, Benjamin, Wood, Christopher
Format:	Article
Published:	Elsevier 2018
Subjects:	U-value Bayesian framework heat transfer inverse problems building performance
Online Access:	https://eprints.nottingham.ac.uk/53006/

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