Project cooperationUpdated on 5 March 2025
De-risking the transformation process towards carbon neutral steel production by integrating the DR-EAF route with various input materials
About
Objectives:
The aim of the project is to de-risk fundamental issues of the transformation process towards carbon-neutral iron and steel production with a system-level approach considering the whole production chain.
Expected Results:
• Direkt reduction and EAF: new know-how of physical&chemical processes, digitalisation & enhanced models, new measurement and control tools
• Prevention of process issues and product quality losses using low quality materials and residuals
• Recycling and processing concepts of residuals & low-quality materials in DR-EAF and mixed routes with BF-BOF
• Risk and Life cycle analysis of DR-EAF and mixed routes with BF-BOF
• Holistic optimisation of process integration and energy supply & management including H2 and derivates
Stage
- Planning (Concept)
Call
- Digital Solutions and Digitalization
- Energy Intensive Process Industries
Type
- R&D Partner
Organisation
Similar opportunities
Project cooperation
Operating the net-zero Blast furnace
- R&D Partner
- Technical Partner
- Planning (Concept)
- Advanced (Core Consortium exists)
- Energy Intensive Process Industries
- Digital Solutions and Digitalization
- Dissemination & Exploitation Partner
Kersten Marx
Research Manager at VDEh-Betriebsforschungsinstitut GmbH
Düsseldorf, Germany
Expertise
Biostatistics Researcher with a Focus on Machine Learning
- Digital Health Data
- AI & Data & Robotics
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI)-based Tools and Technologies
Eralp Doğu
Prof. Dr. at Muğla Sıtkı Koçman Üniversitesi
Muğla, Türkiye
Expertise
Al-Driven Innovation in Education and Smart Agriculture
- Virtual Worlds
- Digital Health Data
- AI & Data & Robotics
- Computing Technologies
- Smart Networks and Services
- Digital Solutions and Digitalization
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI)-based Tools and Technologies
Seyma Bozkurt Uzan
Assistant Professor at İstanbul Beykent University
Istanbul, Türkiye