If you are a DSO dealing with grid instability from too many solar panels — this project developed high-efficiency power converters and management algorithms that unload the distribution grid. This allows for better local balancing of electricity and improved power quality.
Smart Electronic Systems for Resilient and Flexible Renewable Energy Microgrids
Imagine your neighborhood having its own smart power brain that balances solar panels, batteries, and hydrogen fuel. Instead of relying solely on a distant power plant, this system manages energy locally to prevent blackouts and waste. It acts like a traffic controller for electricity, ensuring power goes where it is needed most in real-time.
What needed solving
Current energy grids struggle to handle the intermittent nature of renewable sources, leading to instability and inefficiency. There is a lack of coordinated systems that can balance production, storage, and consumption locally without overloading the main grid.
What was built
A multi-modal energy hub and high-efficiency power electronics converters. They also developed AI-driven energy management algorithms and low-latency communication systems for grid monitoring.
Who needs this
Who can put this to work
If you are a manufacturer dealing with the difficulty of integrating hydrogen into existing power grids — this project developed a multi-modal energy hub. This allows hydrogen components to plug seamlessly into existing installations for better energy storage.
If you are an aggregator dealing with high power demand spikes during peak charging — this project developed low-latency communication systems and AI tools. These enable optimal energy management between sources and loads to ensure resilient operation.
Quick answers
What is the cost or price of the developed systems?
Based on available project data, specific pricing or cost structures are not provided.
Can this be deployed at an industrial scale?
The project aims for widespread interconnection of a large number of systems and includes 5 relevant use cases and demonstrators to validate industrial applicability.
What are the IP and licensing terms for the AI tools?
Based on available project data, specific licensing terms are not mentioned; however, the project is coordinated by Infineon Technologies AG.
How does this integrate with existing power grids?
The project focuses on solutions that seamlessly plug into existing installations to unload the distribution grid and balance energy locally.
What is the timeline for the results?
The project period runs from 2024-07-01 to 2027-06-30.
Who built it
The consortium is heavily industry-driven with a 45% industry ratio, featuring 14 companies including 8 SMEs. Led by a global giant, Infineon Technologies AG, the group combines the scale of large enterprises with the agility of SMEs and the research depth of 13 universities across 5 European countries, indicating a strong path toward commercialization.
Contact Infineon Technologies AG regarding the multi-modal energy hub deliverables.
Talk to the team behind this work.
Contact us to connect with the ECS4DRES consortium for pilot integration.