A novel approach for U-value estimation of buildings' multi-layer walls using infrared thermography and artificial intelligence

Sen, A. and Al-Habaibeh, A. ORCID: 0000-0002-9867-6011, 2020. A novel approach for U-value estimation of buildings' multi-layer walls using infrared thermography and artificial intelligence. In: [Proceedings of the 2nd International Conference on Energy and Sustainable Futures (ICESF 2020)]. Springer.

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Abstract

Estimating the U-value of walls of buildings is a key process to evaluate the overall thermal performance. Low U-value in buildings is desired in order to keep heat within the envelop and consume less energy in heating. Addressing the limitations in the currently used U-value estimation techniques, this paper proposes a novel approach for estimating the U-value of the envelop of buildings using infrared thermography and Artificial Neural Network (ANN) with the application of a point heat source. The novel system is calibrated by training the ANN in a lab environment using a wide range of samples with multi-layers to be able to estimate the in-situ U-value of walls in real buildings during field work with relatively high accuracy.

Item Type:	Chapter in book
Description:	Paper presented at the 2nd International Conference on Energy and Sustainable Futures (ICESF 2020), University of Hertfordshire, Hatfield, 10-11 September 2020.
Creators:	Sen, A. and Al-Habaibeh, A.
Publisher:	Springer
Date:	6 August 2020
Identifiers:	Number Type 1369115 Other
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Jonathan Gallacher
Date Added:	24 Sep 2020 08:48
Last Modified:	31 May 2021 15:16
URI:	https://irep.ntu.ac.uk/id/eprint/40901

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