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

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

    Research output: Contribution to journalArticleScientificpeer-review

    72 Citations (Scopus)


    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 languageEnglish
    Pages (from-to)1425-1430
    JournalEnergy Procedia
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed
    Event6th International Conference on Building Physics for a Sustainable Built Environment, IBPC 2015, 14 - 17 June 2015, Torino, Italy -
    Duration: 1 Jan 2015 → …


    • mold growth prediction
    • hygrothermal modeling
    • risk classification


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