Project cooperationUpdated on 8 April 2025
Upcycling process technology within agrifood sector
About
Process Technology for Valorization
We’re looking for researchers with deep knowledge of how specific side streams such as fruit peels, spent grains, or other unavoidable residues can be converted into value-added food, feed, or bio-based products. This will help us define realistic scenarios for modelling avoided emissions.
Environmental and Climate Assessment
Our team specializes in ISO 14040/44-aligned LCA, particularly using system expansion. However, collaboration with researchers experienced in circular bioeconomy and environmental modelling, especially within food and agricultural systems, would be very valuable.
While our main focus is on food manufacturing side streams, we also recognize the importance of agricultural residues. Many of our food industry clients depend on emissions reductions across their entire value chain including efforts made by farming suppliers to meet Scope 3 climate targets. Exploring ways to include agricultural waste valorization as part of the long-term vision of this project would therefore be highly relevant.
We’d be happy to join a call with any interested researchers.
Stage
- Early idea
- Already defined
Topic
- 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)
- Enabling technologies | (Advanced) Materials and additive manufacturing
Type
- Consortium seeks Partners
- Expertise offered
Organisation
Similar opportunities
Project cooperation
- Early idea
- Data technologies | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- 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.
ocean_mint ocean foods
Founder/Director at Ocean Mint UK Limited
Essex, United Kingdom
Project cooperation
Digital Product Passport for Circular Economy
- Already defined
- Expertise offered
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- 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.
- 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)
Ralph Weissnegger
Director Innovation & Funding at CISC Semiconductor GmbH
Klagenfurt, Austria
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