Moisture in walls before and after internal wall insulation: a long-term in-situ dataset

This work addresses the need for long-term, high-resolution, in-situ datasets by providing in-wall humidity and temperature data from three walls of in-use office buildings over three to four years, two of which were insulated during this period. Temperature and humidity sensors were inserted diagon...

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Main Authors: Grint Naomi, Elwell Clifford A.
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_01005.pdf
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spelling doaj-ee0703b04dcb4f0bb27351f7877b0e0d2021-04-02T13:24:23ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011720100510.1051/e3sconf/202017201005e3sconf_nsb2020_01005Moisture in walls before and after internal wall insulation: a long-term in-situ datasetGrint Naomi0Elwell Clifford A.1UCL, Energy InstituteUCL, Energy InstituteThis work addresses the need for long-term, high-resolution, in-situ datasets by providing in-wall humidity and temperature data from three walls of in-use office buildings over three to four years, two of which were insulated during this period. Temperature and humidity sensors were inserted diagonally into three locations within the thick brick walls, and the holes were carefully packed with dry brick dust. Surface, ambient and interstitial measurements were also recorded, as were additional climatic data during 18 months at one wall, and in-wall moisture content using resistance pins for 18 months in another. This dataset is unique due to the combination of temporal length and resolution, spatial detail, as well as the availability of control data from both before and after insulation and the use of real climatic conditions on both sides of the walls. The experiment was designed to produce data to facilitate parameter estimation by inverse analysis. By using these estimated parameters, or by taking material property measurements, it would also be useful for validating and calibrating hygrothermal models, and by using plausible ranges for parameters it is useful for exploring model performance, such as through sensitivity analyses.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_01005.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Grint Naomi
Elwell Clifford A.
spellingShingle Grint Naomi
Elwell Clifford A.
Moisture in walls before and after internal wall insulation: a long-term in-situ dataset
E3S Web of Conferences
author_facet Grint Naomi
Elwell Clifford A.
author_sort Grint Naomi
title Moisture in walls before and after internal wall insulation: a long-term in-situ dataset
title_short Moisture in walls before and after internal wall insulation: a long-term in-situ dataset
title_full Moisture in walls before and after internal wall insulation: a long-term in-situ dataset
title_fullStr Moisture in walls before and after internal wall insulation: a long-term in-situ dataset
title_full_unstemmed Moisture in walls before and after internal wall insulation: a long-term in-situ dataset
title_sort moisture in walls before and after internal wall insulation: a long-term in-situ dataset
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description This work addresses the need for long-term, high-resolution, in-situ datasets by providing in-wall humidity and temperature data from three walls of in-use office buildings over three to four years, two of which were insulated during this period. Temperature and humidity sensors were inserted diagonally into three locations within the thick brick walls, and the holes were carefully packed with dry brick dust. Surface, ambient and interstitial measurements were also recorded, as were additional climatic data during 18 months at one wall, and in-wall moisture content using resistance pins for 18 months in another. This dataset is unique due to the combination of temporal length and resolution, spatial detail, as well as the availability of control data from both before and after insulation and the use of real climatic conditions on both sides of the walls. The experiment was designed to produce data to facilitate parameter estimation by inverse analysis. By using these estimated parameters, or by taking material property measurements, it would also be useful for validating and calibrating hygrothermal models, and by using plausible ranges for parameters it is useful for exploring model performance, such as through sensitivity analyses.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_01005.pdf
work_keys_str_mv AT grintnaomi moistureinwallsbeforeandafterinternalwallinsulationalongterminsitudataset
AT elwellclifforda moistureinwallsbeforeandafterinternalwallinsulationalongterminsitudataset
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