Gori, V;
Elwell, CA;
(2017)
Characterization of the thermal structure of different building constructions using in-situ measurements and Bayesian analysis.
Energy Procedia
, 132
pp. 537-542.
10.1016/j.egypro.2017.09.723.
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Abstract
A dynamic method, comprising a two lumped-thermal-mass model and Markov Chain Monte Carlo sampler, was used to analyze in-situ-monitored data and estimate the thermophysical properties of two walls of different construction. This method, unlike maximum a posteriori approaches, estimates the parameters’ probability distributions, providing insight into the wall’s thermal structure. Total R-values were well defined for both walls, whilst constituent estimated R-values for a solid wall having layers of materials with similar thermal properties were anticorrelated (thermal mass locations weakly constrained), but were not correlated for an insulated cavity wall with thermally distinct layers (thermal mass locations strongly thermally constrained).
Type: | Article |
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Title: | Characterization of the thermal structure of different building constructions using in-situ measurements and Bayesian analysis |
Event: | 11th Nordic Symposium on Building Physics, NSB2017 |
Location: | Trondheim, Norway |
Dates: | 11 June 2017 - 14 June 2017 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.egypro.2017.09.723 |
Publisher version: | http://doi.org/10.1016/j.egypro.2017.09.723 |
Language: | English |
Additional information: | Copyright © 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of the 11th Nordic Symposium on Building Physics. |
Keywords: | Heat transfer, In-situ measurements, U-value, R-value, Thermal mass, External wall, Bayesian statistics, MCMC, Grey-box model |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/10025058 |
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