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Wuppertal Institut für Klima, Umwelt, Energie

R&D Institution

wupperinst.org/Wuppertal, Germany

About

Our vision is a sustainable world for everyone. We define this as a just transformation towards a future in which global warming is reversed to a tolerable level and Earth’s resources are managed in such a way that everyone can enjoy a good life within the planetary boundaries.

Together with our stakeholders, we shape transformation processes. To this end, we develop science-based solutions for ecological, social, political and economic challenges: from practical measures for urban communities and companies to fresh impetus for international climate negotiations. In doing so, we always keep track of the big picture and combine future knowledge from various fields of research and subject areas.

Data technologies, data ecosystems and cross-linking

Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.(AI based) Material and Product Design, Decomposition and SeparationSimulation models and predictive analytics to assess the scalability of circular processes across industriesDesign of an adaptable Digital Product Pass

Other enabling technologies

Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product PassportTools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)

Representatives

Manuel Bickel

Co-Head Research Unit Consumption and Production Systems

Wuppertal Institut für Klima, Umwelt, Energie

Alexandra Palzkill

Wuppertal Institut für Klima, Umwelt, Energie

Justus von Geibler

Co-Head Research Unit Innovation Labs

Wuppertal Institut für Klima, Umwelt, Energie

Annika Greven

Researcher

Wuppertal Institut für Klima, Umwelt, Energie

Christoph Tochtrop

Researcher

Wuppertal Institut für Klima, Umwelt, Energie

Toni Gnanko

Research assistant

Wuppertal Institut für Klima, Umwelt, Energie

Marketplace (3)

  • Project cooperation

    MAIUpcycle: Mainstreaming upcycling through the AI-assisted replication and scaling of upcycling stores in Europe

    Replication & scaling of upcycling stores in Europe: AI-assisted scalable business models, multichannel marketing, institutional conditions

    • Already defined
    • Expertise offered
    • Consortium seeks Partners
    • Data technologies | Assistance and Expert systems
    • Enabling technologies | Network design of reverse supply chains
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • 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 | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
    • 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.
    Author

    Justus von Geibler

    Co-Head Research Unit Innovation Labs at Wuppertal Institut für Klima, Umwelt, Energie

    Wuppertal, Germany

  • Expertise

    Urban Transformation & Circular Design

    https://wupperinst.org/c/wi/c/s/cd/1908/

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • Manufacturing and machine learning
    • (AI based) Material and Product Design
    • Network design of reverse supply chains
    • (Advanced) Materials and additive manufacturing
    • Life cycle assessment / Product life cycle management
    Author

    Annika Greven

    Researcher at Wuppertal Institut für Klima, Umwelt, Energie

    Wuppertal, Germany

  • Expertise

    Design for Circularity and Sustainability

    Product design involves function, aesthetics, and impact. The Wuppertal Institute explores how to make product-service systems sustainable.

    • Reverse Manufacturing
    • Network design of reverse supply chains
    • Life cycle assessment / Product life cycle management
    Author

    Christoph Tochtrop

    Researcher at Wuppertal Institut für Klima, Umwelt, Energie

    Wuppertal, Germany