Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels
The data in this article are the simulation results of 1248 cases that were carried out to detect anti-insulation behaviour in the article titled “Anti-insulation mitigation by altering the envelope layers’ configuration” (Idris and Mae, 2017) [1]. These cases are generated by a matrix of 13 climate...
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doaj-17a920135a074261a2de1b6ac8f121ea2020-11-24T21:47:13ZengElsevierData in Brief2352-34092017-06-0112C33333510.1016/j.dib.2017.04.016Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levelsYasin M. IdrisMasayuki MaeThe data in this article are the simulation results of 1248 cases that were carried out to detect anti-insulation behaviour in the article titled “Anti-insulation mitigation by altering the envelope layers’ configuration” (Idris and Mae, 2017) [1]. These cases are generated by a matrix of 13 climates, 6 envelope layer configurations, 4 occupancy profiles and 4 levels of insulation thickness. The data are concerned with the annual cooling and heating loads of these cases. In addition, the data include the Point of Thermal Inflexion (PTI) values and their anti-insulation pattern, when PTI is found. The PTI values are compiled in a single summary file and supplied as well. All These data are shared via this article where they can be reused in different ways, but mainly for serving researchers that intend to approach anti-insulation behaviour from different points of view.http://www.sciencedirect.com/science/article/pii/S2352340917301488Thermal inflexionEnergy savingCooling set-pointBuilding envelopeInsulation optimisationThermal massConstruction layer configurationOverheating risk |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yasin M. Idris Masayuki Mae |
spellingShingle |
Yasin M. Idris Masayuki Mae Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels Data in Brief Thermal inflexion Energy saving Cooling set-point Building envelope Insulation optimisation Thermal mass Construction layer configuration Overheating risk |
author_facet |
Yasin M. Idris Masayuki Mae |
author_sort |
Yasin M. Idris |
title |
Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels |
title_short |
Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels |
title_full |
Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels |
title_fullStr |
Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels |
title_full_unstemmed |
Data on anti-insulation detection via Point of Thermal Inflexion (PTI) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels |
title_sort |
data on anti-insulation detection via point of thermal inflexion (pti) in 1248 cases; 13 climates, four occupancy profiles, six wall configurations and four insulation levels |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2017-06-01 |
description |
The data in this article are the simulation results of 1248 cases that were carried out to detect anti-insulation behaviour in the article titled “Anti-insulation mitigation by altering the envelope layers’ configuration” (Idris and Mae, 2017) [1]. These cases are generated by a matrix of 13 climates, 6 envelope layer configurations, 4 occupancy profiles and 4 levels of insulation thickness. The data are concerned with the annual cooling and heating loads of these cases. In addition, the data include the Point of Thermal Inflexion (PTI) values and their anti-insulation pattern, when PTI is found. The PTI values are compiled in a single summary file and supplied as well. All These data are shared via this article where they can be reused in different ways, but mainly for serving researchers that intend to approach anti-insulation behaviour from different points of view. |
topic |
Thermal inflexion Energy saving Cooling set-point Building envelope Insulation optimisation Thermal mass Construction layer configuration Overheating risk |
url |
http://www.sciencedirect.com/science/article/pii/S2352340917301488 |
work_keys_str_mv |
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