Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs

For the proper simulation of hygrothermal processes in roof constructions with ventilation layers the knowledge of climate conditions within the ventilation layer is requisite. In this work a model for the assessment of temperature and air humidity has been developed using multiple regression analys...

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Main Authors: Tieben Johannes, Bachinger Julia, Nusser Bernd
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_11005.pdf
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spelling doaj-cc5a968afe0f491fbdb05734ed7efc932021-04-02T16:33:08ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011721100510.1051/e3sconf/202017211005e3sconf_nsb2020_11005Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofsTieben Johannes0Bachinger Julia1Nusser Bernd2Holzforschung Austria (HFA), Division of Building PhysicsHolzforschung Austria (HFA), Division of Building PhysicsHolzforschung Austria (HFA), Division of Building PhysicsFor the proper simulation of hygrothermal processes in roof constructions with ventilation layers the knowledge of climate conditions within the ventilation layer is requisite. In this work a model for the assessment of temperature and air humidity has been developed using multiple regression analysis. Therefore, the climate conditions inside the ventilation layers of differently covered and oriented roofs have been monitored for one year. Relevant outside climate parameters for the calculation of ventilation layer climates have been identified. The comparison between measured and calculated values indicated an adequate accuracy of the developed model with limitations for the use in snow fall periods.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_11005.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Tieben Johannes
Bachinger Julia
Nusser Bernd
spellingShingle Tieben Johannes
Bachinger Julia
Nusser Bernd
Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
E3S Web of Conferences
author_facet Tieben Johannes
Bachinger Julia
Nusser Bernd
author_sort Tieben Johannes
title Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
title_short Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
title_full Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
title_fullStr Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
title_full_unstemmed Development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
title_sort development of a statistical model to assess the climate conditions in the ventilation layer of double pitched roofs
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description For the proper simulation of hygrothermal processes in roof constructions with ventilation layers the knowledge of climate conditions within the ventilation layer is requisite. In this work a model for the assessment of temperature and air humidity has been developed using multiple regression analysis. Therefore, the climate conditions inside the ventilation layers of differently covered and oriented roofs have been monitored for one year. Relevant outside climate parameters for the calculation of ventilation layer climates have been identified. The comparison between measured and calculated values indicated an adequate accuracy of the developed model with limitations for the use in snow fall periods.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_11005.pdf
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AT nusserbernd developmentofastatisticalmodeltoassesstheclimateconditionsintheventilationlayerofdoublepitchedroofs
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