Statistical Modeling of Polyester’s Environmental Profile for EcoEfficient Design
Session
Integrated Design
Description
The increasing emphasis on sustainable product design calls for a data-driven approach to material selection. This study focuses on polyester as a core material in the textile industry, assessing its environmental performance in comparison with selected plastic and textile alternatives. Four sustainability indicators were used: energy consumption (kWh/kg), CO₂ emissions (kg CO₂/kg), functional lifespan (years), and recyclability (%). Data were gathered from validated sources and analyzed using statistical methods, including ANOVA and multiple linear regression. An empirical model was developed to predict material lifespan based on the selected indicators. The findings highlight polyester’s favorable balance of durability, moderate energy demand, and recyclability, positioning it as a viable choice for sustainable textile applications. These insights contribute to informed, sustainability-oriented decisionmaking in product design.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-41-2
Location
UBT Lipjan, Kosovo
Start Date
25-10-2025 9:00 AM
End Date
26-10-2025 6:00 PM
DOI
10.33107/ubt-ic.2025.206
Recommended Citation
Shabani, Mevludin and Milev, Sasko, "Statistical Modeling of Polyester’s Environmental Profile for EcoEfficient Design" (2025). UBT International Conference. 19.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/ID/19
Statistical Modeling of Polyester’s Environmental Profile for EcoEfficient Design
UBT Lipjan, Kosovo
The increasing emphasis on sustainable product design calls for a data-driven approach to material selection. This study focuses on polyester as a core material in the textile industry, assessing its environmental performance in comparison with selected plastic and textile alternatives. Four sustainability indicators were used: energy consumption (kWh/kg), CO₂ emissions (kg CO₂/kg), functional lifespan (years), and recyclability (%). Data were gathered from validated sources and analyzed using statistical methods, including ANOVA and multiple linear regression. An empirical model was developed to predict material lifespan based on the selected indicators. The findings highlight polyester’s favorable balance of durability, moderate energy demand, and recyclability, positioning it as a viable choice for sustainable textile applications. These insights contribute to informed, sustainability-oriented decisionmaking in product design.