Project
MATISSE
The project aims to develop a new generation of Digital Twins for complex industrial systems, enabling earlier and more reliable verification and validation during system design and deployment.
Full Project Name: Model-based engineering of Digital Twins for early verification and validation of Industrial Systems
Acronym: MATISSE
Programme: Key Digital Technologies Joint Undertaking (Chips JU)– Horizon Europe (HORIZON-KDT-JU-2023-2-RIA – Topic 1)
Grant Agreement: 101140216
Duration: 09/2024 – 08/2027
Websites:
Project Overview
MATISSE aims to develop a new generation of Digital Twins for complex industrial systems, enabling earlier and more reliable verification and validation during system design and deployment.
Digital twins are virtual representations of physical systems that mirror their behavior in real time. They allow stakeholders to simulate, analyze, and test systems before deployment, significantly reducing risks and improving performance.
The project will develop a model-based engineering framework capable of:
- Automating the creation of digital twins for simulation, monitoring, and testing
- Continuously validating digital twins to ensure they meet functional and non-functional requirements
- Building a multi-domain toolchain to support verification and validation of complex industrial systems
By enabling earlier validation and automated testing, MATISSE will help reduce development time, improve system quality, and accelerate time-to-value for advanced industrial solutions.
Cleanwatts Digital Role
Cleanwatts Digital (CWD) contributes to MATISSE by providing a real-world use case based on its energy community Living Lab.
Within the project, this use case will support the development of digital twins representing energy communities and distributed energy assets.
The concept includes:
- Creating digital twins for individual households, incorporating energy assets such as PV panels, batteries, EV chargers, and smart devices
- Federating household twins into a digital twin of the entire energy community, capturing energy flows and interactions between consumers and prosumers
- Expanding the model to federated digital twins of multiple energy communities, enabling system-level simulations across territories
These simulations will support analysis of energy flows, grid interaction, and optimal community participation strategies to maximize self-consumption and efficiency.
The technical development of the digital twin models is led by the Portuguese research partner
Instituto Superior de Engenharia do Porto (ISEP).
Strategic Relevance for Cleanwatts Digital
MATISSE strengthens CWD’s Living Lab and Regulatory Sandbox initiatives, supporting the development and testing of advanced energy community solutions.
The project contributes to:
- Expanding the CWD Living Lab as a testbed for innovation projects
- Supporting experimentation within the regulatory sandbox of the Portuguese energy regulator ERSE – Entidade Reguladora dos Serviços Energéticos
- Improving interoperability through enhanced APIs and communication protocols
- Integrating new distributed energy assets and technologies into CWD’s digital ecosystem
Key Innovations
MATISSE will introduce several innovations relevant for energy systems and digital infrastructure:
- Model-based engineering for automated digital twin generation
- Continuous validation of digital twins for complex multi-domain systems
- Federated digital twin architectures for distributed infrastructures
- Simulation environments for energy community optimization and system-level energy flow analysis
Expected Impact for Cleanwatts Digital
The project will enable CWD to leverage digital twins to:
- Test control strategies and optimization algorithms before real-world deployment
- Improve decision-making for energy management systems
- Maximize self-consumption of renewable energy within energy communities
- Minimize CO₂ emissions and energy costs
- Reduce commissioning risks and accelerate return on investment for new deployments
The availability of digital twins representing real communities will also enable faster experimentation and validation of new services within the CWD Operating System (CWD OS).
Funding Disclaimer
This project has received funding from the Chips Joint Undertaking (Chips JU) and its members under Grant Agreement No. 101140216, with additional support from national funding authorities including Fundação para a Ciência e a Tecnologia (Portugal).
Co-funded by the European Union. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union, the Chips Joint Undertaking, or the national funding authorities. Neither the European Union nor the granting authorities can be held responsible for them.
