Project cooperationUpdated on 7 July 2025
Heat-as-a-service PLUS +
About
We are looking for partners in data management/data experts, SMEs around the heat pump value chain (or other related SMEs), AI Experts
Stage
- Early idea
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 | Approaches to support SME fully exploit the value of existing CVC-related data
- 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
Type
- Consortium seeks Partners
Organisation
Similar opportunities
Project cooperation
- Already defined
- Expertise offered
- 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.
Andreas Stefanidis
CEO at Academy of Entrepreneurship
Athens, Greece
Project cooperation
- Already defined
- Consortium seeks Partners
- 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.
Karoline Borner
Project manager and researcher in information architecture and biochar at Offenburg University
Offenburg, Germany
Project cooperation
Circular and Sustainable Transport Infrastructure
- Early idea
- Already defined
- Expertise offered
- Consortium seeks Partners
- 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 | 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)
Amir Garmabaki
Associate Prof. at Luleå University of Technology
Luleå, Sweden