Imagine trying to run a giant factory where the power and fuel sources keep changing and flickering, like a lightbulb about to go out. This tool acts like a smart brain for the plant, constantly adjusting the dials to keep everything running smoothly even when green energy is unstable. It creates a digital twin—a perfect virtual copy—to test new ways of cutting pollution before spending money on real equipment.
Steel plants struggle to transition to green hydrogen and renewables because energy availability is unstable and current software cannot optimize these fluctuating gas and energy flows.
A multi-agent ICT tool and digital twins that monitor, control, and optimize gas and energy flows across the steel production chain.
If you are an integrated steelworks dealing with unstable hydrogen supply and fluctuating energy prices — this project developed a multi-agent optimization tool that decreases carbon footprints by managing gas and energy flows. It allows you to test different injection and recycling options before investing in hardware.
If you are an energy provider dealing with the need for demand-side response in heavy industry — this project developed a digital twin system that optimizes energy flows across the production chain. This enables better coordination between renewable energy availability and industrial consumption.
If you are a consultant dealing with unknown future framework conditions for clients — this project developed a modular ICT tool that assesses economic and safety aspects of gas utilization. It provides a verified method to derive transition strategies for low carbon technologies.
Based on available project data, the specific commercial price is not mentioned, although the project received an EU contribution of EUR 4,691,795 for its development.
The system is demonstrated as a 'digital AgiFlex plant' at two industrial sites, reaching TRL 7.
Based on available project data, specific licensing terms are not provided, but the project emphasizes the easy and flexible transfer of the modular tool to other plants.
The tool uses digital twins of existing and new production steps, coupling them into a system that monitors and controls processes, conditions, and resources.
The project period runs from 2023-12-01 to 2028-11-30, indicating the development and verification phase is ongoing.
The consortium is highly industry-oriented with a 40% industry ratio, comprising 2 industrial partners, 2 universities, and 1 research organization across 4 countries (DE, FI, IT, NL). This balance suggests the project is driven by practical application and industrial validation rather than pure academic research.
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Contact us to explore licensing opportunities for the AgiFlex digital twin tool.
