The use of simulation tools to predict the internal environment in buildings has made significant strides over the past few years. This is an important step forward in helping to optimise buildings at the design and operational stages, both for comfort and to reduce energy and carbon emissions.
Twin & Earth, in partnership with the Technical University of Denmark recently presented a paper that illustrated how advanced simulation combined with actual weather data can be used to predict and optimise the internal conditions of a passively heated and cooled museum storage facility located in the Vejle region of Denmark. The analysis, which comprised simulation alongside capture of actual internal measurements, demonstrated that temperature and relative humidity can be predicted to accuracies of within 90% of actual readings. The findings were used to show how relative humidity can be accurately controlled through concentrated night time de-humidification which can take advantage of night time / low carbon electricity.
The research was undertaken by Christos Kollias of Twin and Earth and presented at the 16th International Building Physics Conference in Turin.