Thermal conductivity assessment of cotton fibers from apparel recycling for building insulation

• Published in: Energy and buildings 2024-12, Vol.324, p.114866, Article 114866
• Main Authors: Angelotti, Adriana, Alongi, Andrea, Augello, Andrea, Dama, Alessandro, De Antonellis, Stefano, Ravidà, Antonino, Zinzi, Michele, De Angelis, Enrico
• Format: Article
• Language: English
• Subjects: Cotton fibers; Guarded hot plate; Heat flow meter; Post-consume textile waste; Thermal conductivity; Thermal insulation; Transient plane source
• ISSN: 0378-7788
• DOI: 10.1016/j.enbuild.2024.114866

The impressive growth of the clothing market in the last decades comes along with an increase in the textile waste, nowadays mostly incinerated or landfilled. To improve the circularity of the sector, the possibility to recycle the textile waste into thermal insulation products for the building envelope has started to emerge. While the scientific literature agrees that the thermal conductivity of products based on textile waste is comparable to conventional thermal insulators, very few studies provide a comprehensive characterization of their heat transfer behavior in terms of the relevant parameters. This study focuses on post-consume cotton in the form of loose fibers with density 30, 50 and 70 kg/m3. By exploiting complementary experimental techniques, it is found that the effective thermal conductivity ranges between 0.0381 W/(m∙K) (ρ = 30 kg/m3, T = 10 °C, RH = 17 %) and 0.0546 W/(m∙K) (ρ = 50 kg/m3, T = 30 °C, RH = 80 %). The conductivity of the loose cotton fibers is predominantly sensitive to temperature and relative humidity, while the influence of density and the vertical/horizontal orientation appear less significant. These results highlight the complexity of the characterization of the thermal performance of such fibrous materials and the need to perform tests under fully controlled environmental conditions. Moreover, they are key for an accurate prediction of the performance of such insulating materials in real building operation, possibly achieved through dynamic energy simulations including heat and vapor transfer and modelling the conductivity variation with temperature and moisture.