Project cooperationUpdated on 6 August 2025
Eureka 2025 Circular Value creation
Senior Expert Climate & Circular Finance at RISE Research Institutes of Sweden
Stockholm, Sweden
About
Consortium of 4 partners of which 2 research organizations exists and project proposal will be shared with suitable parties. Currently in search of partners close to the consumer market / retail of electrical goods / home appliances / white goods such as retailers, consumer organizations, wholesalers, purchasers (municipal facilities & housing companies for example) architect firms or interior design firms, resellers of home appliances, electrical appliances or white goods, business models. Especially a consumer oriented Spanish company is interesting, but other countries could be of interest. B2C Multi-disciplinary approach. Expertise in circular economy, LCA and tech is already onboard.
Stage
- Early idea
- Already defined
Type
- Consortium seeks Partners
- Expertise offered
Organisation
Similar opportunities
Expertise
Vestel Electronics and Mobility Expertise
FULYA YETİŞ KAYRAN
SUPERVISOR at Vestel Mobility/Electronics
MANISA, MANISA, Türkiye
Project cooperation
- Already defined
Erling Zandfeld
Senior Advisor at Erling Karl Zandfeld
Gothenburg, Sweden
Project cooperation
- Early idea
- Already defined
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | Robotic / handling - and assistance systems
- 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 | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- 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)
Vivek Chavan
Research Associate at Fraunhofer IPK
Berlin, Germany