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Reju Announces Site Selection for French Regeneration Hub in Lacq Advancing Europe's Circular Textile Infrastructure
Reju's new hub will create 80 direct and over 300 indirect jobs, using proprietary technology to recycle textile waste into regenerated polyester materials.
- Reju, a Technip Energies-owned company, selected Lacq on the Induslacq industrial platform for a Regeneration Hub, with CEO Patrik Frisk saying, 'This French Regeneration Hub builds on our strategy to industrialize a circular post-consumer textile-to-textile model.'
- Aligned with Reju's established operations, the Hub complements expansion with Regeneration Hub Zero in Frankfurt, Chemelot in the Netherlands, and a U.S. Hub in Rochester, targeting a traceable textile ecosystem in France.
- Using proprietary depolymerization technology developed with IBM Research, the plant will convert post-consumer textiles into rBHET and Reju PET, subject to final investment decision by Technip Energies' board.
- Local officials say the project would generate 80 direct jobs and more than 300 indirect jobs in the France's Lacq Basin, supporting decarbonization and local industry. The decision underscores the basin's attractiveness.
- Reju aims to establish a global circular textiles system, with the French Hub positioned to scale that model, backed by Technip Energies' expertise and 1% recycling rate.
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19 Articles
19 Articles
This subsidiary of Technip Energies will install in the Béarn a ready-to-weave polyester production unit from the recycling of used textiles.
·France
Read Full ArticleWhile Reju, the start-up created by Technip Energies to develop textile depolymerization technology, continues to run its pilot plant in Frankfurt (Germany), a demonstrator capable of producing 1000 tonnes of rBEHT, a chemical intermediate produced during polyester regeneration, it announces on Friday 13 February that its future French plant will be located in Lacq in the Pyrénées-Atlantiques.
Coverage Details
Total News Sources19
Leaning Left4Leaning Right4Center3Last UpdatedBias Distribution37% Left, 36% Right
Bias Distribution
- 37% of the sources lean Left, 36% of the sources lean Right
37% Left
L 37%
C 27%
R 36%
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