If you are a dam operator dealing with unpredictable water flows — this project developed a modular toolbox of digital components that improves operational decision-making. It uses a human-centric Digital Twin to make energy more affordable and safer.
Digital Twin Tools for Managing Global Renewable Energy Production and Distribution
Imagine having a perfect digital mirror of a wind farm or solar plant that tells you exactly how it's performing in real-time. This project builds a set of digital tools and AI to make these mirrors more accurate and easier for people to use. It's like having a flight simulator for energy grids, helping managers make better choices without risking real equipment.
What needed solving
Energy value chains struggle with inefficient operational processes and a lack of integrated data, making renewable energy less affordable and harder to integrate into grids.
What was built
A modular toolbox of digital components and a human-centric Digital Twin application. Deliverables include 3D simulations and visualizations of real and historic data.
Who needs this
Who can put this to work
If you are a developer dealing with grid integration issues — this project developed AI and ML components that increase the renewables share in the electricity grid. This helps reduce reliance on fossil fuels across 4 continents.
If you are a wave energy company dealing with harsh ocean environments — this project developed sensor technologies and data-driven systems to monitor assets. This allows for better-informed decisions in a virtual environment.
Quick answers
What is the cost or price of the toolbox?
Based on available project data, the specific commercial price is not listed, though the project received an EU contribution of EUR 3,000,000 for development.
Can this be scaled to an industrial level?
Yes, the project validates components in five unique use cases across 4 continents, specifically targeting hydro, solar, and wave energy operations.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not provided, but the project involves 13 partners including 6 industry entities.
How does this integrate with existing systems?
The Digital Twin is designed to include knowledge and best practices from existing EU platforms such as ENERSHARE, GAIA-X, and FIWARE.
What is the implementation timeline?
The project runs from 2024-09-01 to 2027-08-31, with progress videos delivered every 6 months.
Who built it
The consortium is well-balanced for commercial translation, featuring a 46% industry ratio with 6 industrial partners and 3 SMEs. With 13 partners across 8 countries and 4 continents, the project has significant geographic reach and a strong mix of research (7 entities) and commercial application, led by SINTEF AS.
Contact SINTEF AS regarding the ORION toolbox
Talk to the team behind this work.
Contact us to connect with the ORION consortium for pilot opportunities.