Project period:
1.4.2024–31.3.2027
Project funding:
Business Finland
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The DaRe-X project focuses on data-driven Re-X processes and technologies that build efficient circular economy capabilities through exploitation of digital twin lifecycle data. It includes three aspects:
- Design for circularity - Data utilization in evaluating asset condition for Re-X processes and performance of Re- X -ed products.
- Developing a Re-X processes selection - Holistic approach for applying Re-X processes in industrial machinery including process selection, sustainability assessment, feasibility calculation and market development.
- Environmental impacts - Transitioning from linear to circular to regenerative industry: circularity metrics for industrial machinery, supply chain and strategic decision making.
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Project description
What?
Data-driven Re-X processes and technologies that build efficient circular economy capabilities through exploitation of digital twin lifecycle data. This unlocks circularity and service business potential in the national low volume, high tailored B2B product landscape by enabling companies to identify where implementing circularity makes sense from financial, environmental and customer value viewpoints.
- Assess and improve circular maturity i.e. readiness to provide circular services.
- Tools to make informed decisions on which re-x services to provide, to which customers, and when
- Create revenue streams and rapid export service growth through novel circular business models
Why?
DaRe-X project aims to expand the circular service offerings to export markets for Finnish companies and build competitive circular capabilities by applying modular digital twin technologies to enable new lifecycle services and Re-X business models. Customer demands, resilience for current products, technological convergence of digital industry technologies, and regulatory requirements (such as the digital product passport) are the driving forces behind the transition.
- Improved monitoring of asset condition and sustainability performance
- Sustainability to customer operations through re-X options
- Maximizing and closing lifecycles – longer lifetime, less maintenance cost
- Active management of installed base – switch from spare parts to services
- Active environmental impact monitoring, management, and mitigation
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How?
Real-time physics-based simulation provides novel data for sustainability metrics, for evaluation of machine state and sustainability impacts and for managing the circular Re-X processes.
- Method development on both Lifecycle Analysis (LCA) and digital twins allow bidirectional links and interaction to feed circularity metrics and decisions
- Modular digital twins, designed with flexible interfaces between subsystems that adapt during lifecycle and simulate both machine and subsystem health
- Collaborative, circular, and value architecture-driven business models
Results
- Circular capability maturity model and assessment methodology
- Agile LCA methods compatible with real-time simulation data
- Modular circular twin for re-x selection and predictive condition assessment
- Demonstrated solution for managing data for circular equipment and
component lifecycles - Managerial tools for circular business model formation and innovation
Project manager
Project staff
Antero Kutvonen, WP 4 leader
Mika Horttanainen, PI, WP 1 leader
Aki Mikkola, WP 2 leader
Juhani Ukko, deputy WP 3 leader
Minna Saunila, WP 3 leader
Hanieh Aghaee, researcher
Pedro Nardelli, sub-project manager
Mariam Abdulkareem, sub-project manager
Anna Zaikova, researcher
Walter Nieminen, researcher
Adam Klodowski, researcher
Heikki Handroos, researcher
Victor Zhidchenko, sub-project manager
Ilkka Donoghue, researcher
Emil Kurvinen, University of Oulu, WP 2 leader
Atte Koskinen, researcher
Mehdi Rasti, Uoulu, researcher
Narges Gholipoor, Uoulu, researchr
Qasim Khadim, Uoulu, researcher
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