Mould Growth Prediction by Computational Simulation

Martin Krus, Ralf Kilian, Klaus Sedlbauer

Historical buildings are often renovated with a high expenditure of time and money without investigating and considering the causes of the damages. In many cases historic buildings can only be maintained by changing their usage. This change of use may influence the interior climate enormously. To assess the effect on the risk of mould growth on building parts or historic monuments a predictive model has been developed recently, describing the hygrothermal behaviour of the spore. It allows for the first time to use the changing surface temperatures and RH for the prediction of mould growth. The calculational assessment of mould growth allows the handling of problems which until now couldn’t be solved with simple estimations or with reasonable metrological expense. The success of refurbishment measures can be predicted, with regard for the risk of mould growth. The possibilities of this model are demonstrated with calculations for the Rijksmuseum, Amsterdam.