Project cooperationUpdated on 16 May 2025
Project Partnership for Circular Textile Technologies and Industrial Pilots
About
We are interested in joining an existing or emerging consortium as a project partner to contribute to the implementation of advanced textile recycling technologies and circular solutions addressing the negative environmental impact of the apparel industry. TexCycle brings operational facilities, experienced professionals, and proven expertise in the precise classification of textiles and in identifying optimal utilisation pathways, ensuring that textile waste is diverted from landfills and incineration.
In line with national and international regulatory requirements, including EU strategic frameworks related to climate change mitigation, decarbonisation, and zero waste, TexCycle has developed a circular textile sustainability model. Within project consortia, we seek to contribute our industrial capacities and to participate in projects supported by EU financial instruments, including investments in equipment for automated textile sorting, recycling processes, and the development of products made from recycled textile materials.
Similar opportunities
Expertise
Circular Textile Solutions: From Collection, Sorting and Recovery to Recycled Fibres
TexCycle TEAM
Textile recovery solutions company at TexCycle brand of Eurotex Ltd.
Varna, Bulgaria
Project cooperation
- Early idea
- Expertise offered
- Consortium seeks Partners
- Data technologies | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
Laura Bies
Lab Lead Smart Quality at August-Wilhelm Scheer Institut
Saarbrücken, Germany
Project cooperation
- Already defined
Erling Zandfeld
Senior Advisor at Erling Karl Zandfeld
Gothenburg, Sweden