Project cooperationUpdated on 11 June 2025
Circular Adaptation for Road Vehicle Sustainability (CARS)
Professor-Operation and Maintenance Engineering at Luleå University of Technology-Division of Operation and Maintenance Engineering
Luleå, Sweden
About
We invite industry partners, researchers, and sustainability experts to co-develop a proposal focused on Circular Adaptation for Road Vehicle Sustainability (CARS). The project aims to reduce climate and environmental impact across the entire vehicle value chain—from design and manufacturing to decommissioning—through innovative circular economy strategies.
Project Vision
CARS targets the development of circular models that integrate:
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Life extension strategies using RAMS-based engineering
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Part-out processes for recovering and reusing valuable components
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An Approved Circular Parts Accreditation Framework
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Scalable tools for remanufacturing, reuse, and recycling
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Business models promoting sustainability and digital transformation
These measures aim to minimize material waste, reduce GHG emissions, and retain embedded value, supporting a sustainable and circular automotive industry aligned with national and EU climate goals.
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 | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- 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
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
- Enabling technologies | Network design of reverse supply chains
Type
- Consortium seeks Partners
Organisation
Luleå University of Technology-Division of Operation and Maintenance Engineering
University
Luleå, Sweden
Similar opportunities
Project cooperation
Al and Circular Economy in Coating and Insulation
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Enabling technologies | Network design of reverse supply chains
- Data technologies | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- 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.
Kaan AKSOY
Advanced Technologies and Sustainability R&D Department at BETEK BOYA VE KİMYA SANAYİ A.Ş
İSTANBUL, Türkiye
Project cooperation
- Early idea
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- 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
Rebecca Pahmeyer
Research Scientist at Fraunhofer IPA
Stuttgart, Germany
Project cooperation
Euraka & Horizon Project Oppotunity
- Early idea
- Expertise offered
- 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
Hakan Bozcu
Senior Innovation Projects Specialist at Eczacıbaşı Building Products
Bilecik, Türkiye