• Greta Szefer
  • Ivana Moric
  • Ronald Ljevakovic
4. Term, Building Energy Design (Master Programme)
The focus of this report is the investigation of hygric properties of bio-based insulation materials using novel experimental methods. The water vapor sorption isotherms were obtained with the Vapor Sorption Analyzer (VSA), an instrument developed for a novel method which can provide dynamic sorption isotherm curves. The water vapor diffusion was measured by another novel method by using The Oxygen Diffusion Apparatus 2020 (ODA 20). Both are more time-efficient methods then the standard methods commonly used. This could be a great improvement, since the development of less time-consuming methods would lead to more materials being able to get tested by the researchers. Determination of correct hygrothermal material properties is needed for conduction of various heat and moisture simulations. They could show important predictions of heat and moisture transport inside the materials, the material behaviour through time under different circumstances, for the determination of possible moisture problems in buildings or building materials, for simulation of indoor environmental conditions or energy consumptions with the use of different materials in buildings, etc. This is very important for the introduction of new materials in building constructions, especially for bio-based materials which have a great environmental impact but could also have great hygrothermal properties or maybe be more sustainable in production. The materials investigated in this report are the wood fibre board insulation and the loose fill paper wool and loose fill wood fibre. For the loose fill materials, the measurements were done for different densities. Due to the material physical structures, the determination of dry weight values was done for different temperatures in the oven. All values gained with the novel methods were compared to the values from the standard methods. The heat and moisture transport simulations using Comsol were conducted with for both standard and experimental data.
Publication date25 May 2021
Number of pages28
ID: 412740185