2021
DOI: 10.1016/j.enbuild.2021.111188
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Bayesian uncertainty analysis of inversion models applied to the inference of thermal properties of walls

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Cited by 3 publications
(2 citation statements)
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“…Beyond the purview of the PASLINK project, several research works have determined the thermal properties of building components. For example, (Iglesias et al, 2018) and (Demeyer et al, 2021) both propose approaches based on Bayesian inference and uncertainty analysis to estimate the thermal properties of walls. They use simplified heat transfer models and in-situ measurements of temperature and heat flux to establish the relationship with the unknown thermal properties.…”
Section: Introductionmentioning
confidence: 99%
“…Beyond the purview of the PASLINK project, several research works have determined the thermal properties of building components. For example, (Iglesias et al, 2018) and (Demeyer et al, 2021) both propose approaches based on Bayesian inference and uncertainty analysis to estimate the thermal properties of walls. They use simplified heat transfer models and in-situ measurements of temperature and heat flux to establish the relationship with the unknown thermal properties.…”
Section: Introductionmentioning
confidence: 99%
“…The need therefore currently exists to enable monitoring the actual performance of insulating materials, over the course of seasons. The many projects underway in France targeting envelope performance monitoring (REHAFUTUR [9], ISABELE [10], RESBATI [11]), as is the case in other countries [12,13], reveal the societal importance behind this focus on the in situ thermal behavior of building envelopes. The attention paid to bio-sourced materials in the construction industry has grown over the past few decades, as their use has become more widespread across the globe [14].…”
Section: Introductionmentioning
confidence: 99%