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Probabilistic Analysis of Indoor Surface Hygrothermal Conditions Accounting for Thermal and Hygric Memory of the Building Component
University of Borås, School of Engineering.
University of Borås, School of Engineering.
University of Borås, School of Engineering.
University of Borås, School of Engineering.
2004 (English)Conference paper, (Refereed)
Abstract [en]

A new approach to address the memory effects of the building component is demonstrated in the paper. As an output of the analysis, the probability distribution for the surface temperature and relative humidity is given, which is interesting for the determination of both thermal comfort and the risk of mold formation. Three different wall constructions are used in the example. The paper presents two calculation procedures. The first procedure is the probabilistic approximation based on the wall surface dynamic response (DTN model) to the external and internal climatic load. The probability distributions of moisture and thermal parameters, as well as a reliability analysis of the moisture performance of the walls, are carried out using FORM (firstorder reliability method). The results are then compared with the results obtained from the second procedure. In this, a transient one-dimensional HAM model is used for the calculation of the hygrothermal surface conditions, followed by a statistical analysis of the output.

Place, publisher, year, edition, pages
2004.
Keyword [sv]
Energi och material
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hb:diva-6780Local ID: 2320/10797OAI: oai:DiVA.org:hb-6780DiVA: diva2:887482
Conference
Performance of Exterior Envelopes of Whole Buildings IX International Conference, Florida, USA, December 5-10, 2004
Available from: 2015-12-22 Created: 2015-12-22

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