ExpertiseUpdated on 15 April 2025
Biomass
About
To cooperate for the best value chain approaches. Environmental, economic and socio-economic factors and assessment of the best value chains. Accessibility and sustainability of the feedstock availability for commercialisation of the process, using our platform EATNP to support the development, real life testing , adoption of AI technology , using smart censor technology to monitor the environment. We identify south Africa as the location for potential investment opportunities, to develop the global feedstock processing centre. It will serve as point centre for the adoption process, prodction and innovation cenre serving other countries in the world.
Field
- (Advanced) Materials and additive manufacturing
- (AI based) Material and Product Design
- (AI based) process and system control technologies
- Network design of reverse supply chains
Attached files
Similar opportunities
Project cooperation
Upcycling process technology within agrifood sector
- Early idea
- Already defined
- Expertise offered
- Consortium seeks Partners
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
Hansol Bae
CSO at Nature Preserve ApS
Søborg, Denmark
Project cooperation
- Already defined
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Aysegul gündüz
Founder at Loopifyr
İstanbul, Türkiye
Expertise
- (AI based) recognition systems
- Manufacturing and machine learning
- Life cycle assessment / Product life cycle management
İSMAİL İVEDİ
R&D Chief at Roteks Tekstil A.Ş.
İZMİR, Türkiye