Advancing the Sorting of Textiles for Recycling

The goal of this project is to mature adaptive sorting technologies that incorporate advances in machine learning (ML) to sort post-consumer and post-industrial textiles into numerous market grades (resale, rag, fiber reclaim, and chemical recovery) based on the textile composition and contaminants present.

Upon completion, this project seeks to reduce primary feedstock by 0.136 million metric tons (MMT), reduce energy consumption by 5.71 PJ, and decrease emissions by 0.2 MMCO2e.