Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution

This article presents the descriptive statistics of service life data of building elements, gathered through an international, European and Swiss literature review of LCA, LCC and other sources called “Real-Estate Management sources” that include building owners, banks, insurances, associations of t...

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Main Authors: Kyriaki Goulouti, Didier Favre, Morgane Giorgi, Pierryves Padey, Alina Galimshina, Guillaume Habert, Sébastien Lasvaux
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921003462
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spelling doaj-d0e87d6b2c95496baa425cc266849ef72021-06-27T04:38:10ZengElsevierData in Brief2352-34092021-06-0136107062Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distributionKyriaki Goulouti0Didier Favre1Morgane Giorgi2Pierryves Padey3Alina Galimshina4Guillaume Habert5Sébastien Lasvaux6Solar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, SwitzerlandSolar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, SwitzerlandSolar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, SwitzerlandSolar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, SwitzerlandInstitute of Construction and Infrastructure Management, Swiss Federal Institute of Technology (ETH Zurich), Stefano Franscini Platz 5, 8093, Zurich, SwitzerlandInstitute of Construction and Infrastructure Management, Swiss Federal Institute of Technology (ETH Zurich), Stefano Franscini Platz 5, 8093, Zurich, SwitzerlandSolar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, Switzerland; Corresponding author.This article presents the descriptive statistics of service life data of building elements, gathered through an international, European and Swiss literature review of LCA, LCC and other sources called “Real-Estate Management sources” that include building owners, banks, insurances, associations of tenants and owners, etc. Furthermore, the properties of the fitted lognormal distribution are given. The data are structured, using a hybrid decomposition (functional decomposition, according to the eBKP-H – SN506511 and material decomposition, as well). These data and the derived statistical distributions were used in a research study, in order to quantify the uncertainty and sensitivity of the LCA and LCC output, due to the variability of the building elements’ service lives.http://www.sciencedirect.com/science/article/pii/S2352340921003462Service lifeLifetimeBuilding elementsTechnical systemsLCA and LCCDescriptive statistics
collection DOAJ
language English
format Article
sources DOAJ
author Kyriaki Goulouti
Didier Favre
Morgane Giorgi
Pierryves Padey
Alina Galimshina
Guillaume Habert
Sébastien Lasvaux
spellingShingle Kyriaki Goulouti
Didier Favre
Morgane Giorgi
Pierryves Padey
Alina Galimshina
Guillaume Habert
Sébastien Lasvaux
Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
Data in Brief
Service life
Lifetime
Building elements
Technical systems
LCA and LCC
Descriptive statistics
author_facet Kyriaki Goulouti
Didier Favre
Morgane Giorgi
Pierryves Padey
Alina Galimshina
Guillaume Habert
Sébastien Lasvaux
author_sort Kyriaki Goulouti
title Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
title_short Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
title_full Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
title_fullStr Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
title_full_unstemmed Dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
title_sort dataset of service life data for 100 building elements and technical systems including their descriptive statistics and fitting to lognormal distribution
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2021-06-01
description This article presents the descriptive statistics of service life data of building elements, gathered through an international, European and Swiss literature review of LCA, LCC and other sources called “Real-Estate Management sources” that include building owners, banks, insurances, associations of tenants and owners, etc. Furthermore, the properties of the fitted lognormal distribution are given. The data are structured, using a hybrid decomposition (functional decomposition, according to the eBKP-H – SN506511 and material decomposition, as well). These data and the derived statistical distributions were used in a research study, in order to quantify the uncertainty and sensitivity of the LCA and LCC output, due to the variability of the building elements’ service lives.
topic Service life
Lifetime
Building elements
Technical systems
LCA and LCC
Descriptive statistics
url http://www.sciencedirect.com/science/article/pii/S2352340921003462
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