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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Main Authors: Yasin M. Idris, Masayuki Mae
Format: Article
Language:English
Published: Elsevier 2017-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340917301488
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spelling 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
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