Mold risk classification based on comparative evaluation of two established growth models

Hannu Viitanen; M. Krus; Tuomo Ojanen; V. Eitner; Daniel Zirkelbach

doi:10.1016/j.egypro.2015.11.165

Mold risk classification based on comparative evaluation of two established growth models

Hannu Viitanen, M. Krus, Tuomo Ojanen, V. Eitner, Daniel Zirkelbach (Corresponding Author)

Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V.

Research output: Contribution to journal › Article › Scientific › peer-review

53 Citations (Scopus)

Abstract

Numerical prediction can be useful in assessing the risk of mold growth in new constructions and retrofit applications. Two well-known models exist and are widely used: the VTT model and the biohygrothermal IBP model. The VTT model uses a very clear six-step evaluation: the so-called mold index describing the intensity of growth on the surface. By comparing the results of the biohygrothermal and the VTT model it is possible to use the clear and acknowledged rating measure of the mold index also for the IBP model. In collaboration of VTT and IBP a new postprocessor for the VTT model was developed which can be used to assess both: Results from hygrothermal numerical simulations or measured data. A classification employing a traffic light indicator helps to interpret the mold growth risk.

Original language	English
Pages (from-to)	1425-1430
Journal	Energy Procedia
Volume	78
DOIs	https://doi.org/10.1016/j.egypro.2015.11.165
Publication status	Published - 2015
MoE publication type	A1 Journal article-refereed
Event	6th International Conference on Building Physics for a Sustainable Built Environment, IBPC 2015, 14 - 17 June 2015, Torino, Italy - Duration: 1 Jan 2015 → …

Keywords

mold growth prediction
hygrothermal modeling
risk classification

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title = "Mold risk classification based on comparative evaluation of two established growth models",

abstract = "Numerical prediction can be useful in assessing the risk of mold growth in new constructions and retrofit applications. Two well-known models exist and are widely used: the VTT model and the biohygrothermal IBP model. The VTT model uses a very clear six-step evaluation: the so-called mold index describing the intensity of growth on the surface. By comparing the results of the biohygrothermal and the VTT model it is possible to use the clear and acknowledged rating measure of the mold index also for the IBP model. In collaboration of VTT and IBP a new postprocessor for the VTT model was developed which can be used to assess both: Results from hygrothermal numerical simulations or measured data. A classification employing a traffic light indicator helps to interpret the mold growth risk.",

keywords = "mold growth prediction, hygrothermal modeling, risk classification",

author = "Hannu Viitanen and M. Krus and Tuomo Ojanen and V. Eitner and Daniel Zirkelbach",

note = "Project code: 100649 ; 6th International Conference on Building Physics for a Sustainable Built Environment, IBPC 2015, 14 - 17 June 2015, Torino, Italy ; Conference date: 01-01-2015",

year = "2015",

doi = "10.1016/j.egypro.2015.11.165",

language = "English",

volume = "78",

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journal = "Energy Procedia",

issn = "1876-6102",

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T1 - Mold risk classification based on comparative evaluation of two established growth models

AU - Viitanen, Hannu

AU - Krus, M.

AU - Ojanen, Tuomo

AU - Eitner, V.

AU - Zirkelbach, Daniel

N1 - Project code: 100649

PY - 2015

Y1 - 2015

N2 - Numerical prediction can be useful in assessing the risk of mold growth in new constructions and retrofit applications. Two well-known models exist and are widely used: the VTT model and the biohygrothermal IBP model. The VTT model uses a very clear six-step evaluation: the so-called mold index describing the intensity of growth on the surface. By comparing the results of the biohygrothermal and the VTT model it is possible to use the clear and acknowledged rating measure of the mold index also for the IBP model. In collaboration of VTT and IBP a new postprocessor for the VTT model was developed which can be used to assess both: Results from hygrothermal numerical simulations or measured data. A classification employing a traffic light indicator helps to interpret the mold growth risk.

AB - Numerical prediction can be useful in assessing the risk of mold growth in new constructions and retrofit applications. Two well-known models exist and are widely used: the VTT model and the biohygrothermal IBP model. The VTT model uses a very clear six-step evaluation: the so-called mold index describing the intensity of growth on the surface. By comparing the results of the biohygrothermal and the VTT model it is possible to use the clear and acknowledged rating measure of the mold index also for the IBP model. In collaboration of VTT and IBP a new postprocessor for the VTT model was developed which can be used to assess both: Results from hygrothermal numerical simulations or measured data. A classification employing a traffic light indicator helps to interpret the mold growth risk.

KW - mold growth prediction

KW - hygrothermal modeling

KW - risk classification

U2 - 10.1016/j.egypro.2015.11.165

DO - 10.1016/j.egypro.2015.11.165

M3 - Article

SN - 1876-6102

VL - 78

SP - 1425

EP - 1430

JO - Energy Procedia

JF - Energy Procedia

T2 - 6th International Conference on Building Physics for a Sustainable Built Environment, IBPC 2015, 14 - 17 June 2015, Torino, Italy

Y2 - 1 January 2015

ER -

Mold risk classification based on comparative evaluation of two established growth models

Abstract

Keywords

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