Updated on 3 June 2025
Circular and Sustainable Transport Infrastructure
About
We are track recorded in assessing climate risks, support for developing Action Plans towards climate resilience for transport and urban built environment. We have knowledge through various National and European projects, about synergies between climate adaptation, circularity and carbon-cut in transport system. we are also actively developing innovative solutions supporting data infrastructure, Life cycle assessment, AI-based solutions for sustainable built environment and management. In addition, we have the potential to test and demonstrate innovative railway solutions and support scalability of the concept.
For further information, see some of our previous and ongoing project in transport
Stage
- Early idea
- Already defined
Topic
- 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.
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- 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 | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Type
- Consortium seeks Partners
- Expertise offered
Organisation
Similar opportunities
Project cooperation
- Early idea
- Consortium seeks Partners
- Data technologies | Design of an adaptable Digital Product Pass:
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- 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.
Sina Herceg
Scientist at Fraunhofer Institute for Solar Energy Systems
Freiburg im Breisgau, Germany
Project cooperation
- Already defined
- Consortium seeks Partners
- Data technologies | Design of an adaptable Digital Product Pass:
- 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 | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
Diego Galar
Professor at Luleå University of Technology-Division of Operation and Maintenance Engineering
Lulea, Sweden
Project cooperation
Digital ecosystem for circular value creation
- Already defined
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- 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
- 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
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- 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)
Yoav Nahshon
Team Leader Materials Informatics at Fraunhofer IWM
Freiburg, Germany