Abstract
Development of the method for automated and adaptive assessment of mould
growth in the timber frame facade is presented. A heat, air, and moisture (HAM) transport
simulation using the open-source Python library HAMOPY is validated against a wellestablished software (WUFI Pro 1D). Climate input of the reference year in Norway, Oslo
is used in validation. The material parameters of the 1D numerical model that influence
mold growth conditions most are identified via a parametric study. The increased water vapor
permeability and thermal conductivity of the outside envelope as well as the critical relative
humidity threshold are selected as the model updating parameters to account for the risk of
the thermal bridge, moisture leakage, and mold growth conditions variation in the model. The
example of the automated parametric computation of the mold growth conditions in the facade
is presented for a reference climate based on the developed and validated HAM model.
growth in the timber frame facade is presented. A heat, air, and moisture (HAM) transport
simulation using the open-source Python library HAMOPY is validated against a wellestablished software (WUFI Pro 1D). Climate input of the reference year in Norway, Oslo
is used in validation. The material parameters of the 1D numerical model that influence
mold growth conditions most are identified via a parametric study. The increased water vapor
permeability and thermal conductivity of the outside envelope as well as the critical relative
humidity threshold are selected as the model updating parameters to account for the risk of
the thermal bridge, moisture leakage, and mold growth conditions variation in the model. The
example of the automated parametric computation of the mold growth conditions in the facade
is presented for a reference climate based on the developed and validated HAM model.