If you are a grid operator dealing with bottlenecks that delay renewable energy projects — this project developed a real-time digital twin that provides visibility below 20kV. This allows you to manage demand instead of spending hundreds of billions of euros on physical grid expansion.
Digital Operating System to Prevent Electricity Grid Overload and Reduce Infrastructure Costs
Imagine the power grid is like a highway system designed for a few big trucks, but now millions of small electric cars and solar panels are trying to use it at once, causing massive traffic jams. Instead of spending billions to build more lanes, this technology acts like a smart traffic controller that sees every single car in real-time. It tells devices when to charge or discharge to keep traffic flowing smoothly without needing new roads.
What needed solving
Electricity grids are outdated and cannot handle the bidirectional flow of energy from millions of solar panels and EVs. This creates bottlenecks that delay renewable energy projects and cost billions in unnecessary infrastructure upgrades.
What was built
A grid operating system based on a real-time digital twin that connects to legacy SCADA and smart metering systems to orchestrate flexible energy demand.
Who needs this
Who can put this to work
If you are a charging network provider dealing with grid connection refusals due to capacity limits — this project developed a grid operating system that enables real-time access to flexibility. This helps integrate high-power chargers by adapting consumption to available capacity.
If you are an EMS developer dealing with unpredictable energy costs for users — this project developed a layer of intelligence for the orchestration of heat pumps and batteries. This allows devices to interplay in real time to optimize energy usage and reduce grid fees.
Quick answers
How does this reduce costs compared to traditional grid upgrades?
Based on available project data, the technology adapts flexible demand to available capacity, which is ten times cheaper and ten times faster than increasing grid capacity on the supply side.
Can this be scaled to large urban networks?
Yes, the system is designed to provide real-time visibility in networks with millions of nodes, specifically targeting the infrastructure under 20kV.
What is the IP or licensing model for this technology?
Based on available project data, the specific licensing terms are not disclosed, but the project is developing a new 'grid operating system' as a core product.
How does it integrate with existing hardware?
The technology connects to legacy grid control systems, including smart metering systems, geographic information systems (GIS), and SCADA systems.
What is the timeline for deployment?
The project period runs from 2024-06-01 to 2026-05-31.
Who built it
The project is lean and industry-focused, consisting of 2 SMEs from Spain and Sweden. With a 100% industry ratio and no university or research center involvement, the consortium is structured for rapid commercialization and market entry rather than basic research.
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