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Integrated modelling for sustainable and optimized steel manufacturing processes

Project description

Platform and sensor technologies for sustainable steel manufacturing

The steel manufacturing value chain plays a critical role in the transition to more sustainable practices, processes and solutions. The EU-funded ProcTwin project aims to support these efforts by developing a key demonstration platform that predicts and visualises the optimal use of multiple processing steps throughout the steel manufacturing chain. The project will implement a methodology that combines numerical simulations, process data, distributed machine learning, soft sensors and other tools to identify the best options for smart optimisation, focusing on energy efficiency and product quality. These innovations will help optimise processes, reduce carbon emissions and facilitate the transition to more sustainable solutions.

Objective

ProcTwin aims to develop a demonstration platform to predict and visualize best use of multiple processing steps in a steel manufacturing chain. The methodology includes intelligent coupling of interconnected processing steps by numerical simulation, soft sensors, process data and distributed machine learning. Integrated numerical modelling that captures the interactions, relations, and feedback loops between various processing stations enables prediction for smart optimization of energy efficiency and product quality in the steel manufacturing. Continuous casting, reheating, hot metal working, quenching and leveling processes are examples that are controlled separately but strongly interconnected in terms of parameters. These processes serve as objective functions in two parallel use cases at Celsa (ES) and SSAB (SW). It is well known that process optimization can have a significant effect on reducing carbon footprint in steel production, and implementing new digital tools will enable a faster transition towards sustainable industry. ProcTwin is divided in clear work packages to reach the objectives: one is adaption of existing physically based numerical models of each process step to generate critical data that is impossible to measure or observe. Another is development of novel sensors and data integration for a secure and effective sharing industrial data. The innovative concept of ProcTwin is development of distributed machine learning to predict the process chains with large amounts of parameters. Lastly, these technologies will be combined through a demonstrator platform to model the manufacturing processes and enable control for increased product quality, energy efficiency and operator support.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2024-TWIN-TRANSITION-01

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Coordinator

SWERIM AB
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 983 025,13
Address
ARONTORPSVAGEN 1
971 25 Lulea
Sweden

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Norra Sverige Övre Norrland Norrbottens län
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (11)

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