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Linear to circular through sustainable management approaches and data-driven business models

Linear to circular through sustainable management approaches and data-driven business models

Tid

2.1.2025–31.12.2026

Projektägare

Åbo Akademi

Samarbetsparter

  • Åbo universitet
  • Valmet (Finland)
  • Forcit
  • Enersense
  • Finansiär

  • Business Finland (Beyond circularity (Valmet veturi) )
  • Budget

    637 374 euro

    Åbo Akademis del av budgeten

    637 374 euro (100%)

    In tackling the waste-to-value challenge, an array of cutting-edge technologies, innovative business models, and pioneering services must be utilized. Such eco-innovations are pivotal for a circular economy and sustainable growth and accelerate the green transition, thus underpinning its socio-economic importance. The L2C project focuses on two central opportunities in the circular economy: novel data-driven lifecycle services and new technologies for closing material loops in industrial processes. Both areas are essential for developing a holistic, lifecycle-oriented approach to circular economy. An essential driver is the potential to revitalize existing plants that are classified as stranded assets (not environmentally or financially acceptable) to become sustainable through improvements and implementation of new technology. Closing material loops in industrial processes to enhance material efficiency refers both to existing circular processes and to linear processes which can be converted into circular processes. This is a key opportunity and challenge for industries providing components of the circular solution: identifying linear businesses that could in the future be circular.
    This project aspires to create scalable, data-driven business models, significant for the companies involved and their global partners and customers. The challenge of developing these models comes with a few obstacles, often related to data accessibility, technological readiness, regulatory issues, and mindset barriers. To overcome these hurdles, root cause analyses are needed, supported by other frameworks that identify potential inefficiencies in different industry segments.

    Kontakta oss

    Magnus Hellström (Ansvarig forskare)

    Professor 

    i industriell ekonomi

    Laboratoriet för industriell ekonomi

    Fakulteten för naturvetenskaper och teknik
    Till projektsidan i Åbo Akademis forskningsportal