Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1425-1430 |
| Journal | Energy Procedia |
| Volume | 78 |
| DOIs | |
| 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 → … |
Fingerprint
Keywords
- mold growth prediction
- hygrothermal modeling
- risk classification
Cite this
}
Mold risk classification based on comparative evaluation of two established growth models. / Viitanen, H.; Krus, M.; Ojanen, T.; Eitner, V.; Zirkelbach, D. (Corresponding Author).
In: Energy Procedia, Vol. 78, 2015, p. 1425-1430.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Mold risk classification based on comparative evaluation of two established growth models
AU - Viitanen, H.
AU - Krus, M.
AU - Ojanen, T.
AU - Eitner, V.
AU - Zirkelbach, D.
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
VL - 78
SP - 1425
EP - 1430
JO - Energy Procedia
JF - Energy Procedia
SN - 1876-6102
ER -