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Meeting MS&T24: Materials Science & Technology
Symposium Application of ICME Methods to Advance Sustainable Metallurgy and Metals Processing
Presentation Title Green Ironmaking via Ammonia-Based Direct Reduction of Iron Ores
Author(s) Yan Ma
On-Site Speaker (Planned) Yan Ma
Abstract Scope Ironmaking is one of the largest single causes of global warming. The reduction of iron ores with fossil fuel currently generates ~7% of the global CO2 emissions for producing 1.85 billion tons of steel annually. This fact leads to an urgent decarbonization challenge in the steel industry and fuels efforts to deploy renewable and carbon-free reductants. Here, we show a novel approach to making sustainable steel by reducing iron ores with ammonia. Ammonia is an annually 180-million-ton-traded chemical energy carrier, with established transcontinental logistics and low liquefaction costs. It can be synthesized with green hydrogen, and release hydrogen again through the reduction reaction. This advantage connects it with green ironmaking as a promising hydrogen carrier, for replacing fossil reductants. The ammonia-based reduction of iron ores proceeds through an autocatalytic reaction; is kinetically as effective as hydrogen-based direct reduction; yields the same metallization; and can be industrially realized with existing technologies.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Thermodynamic Analysis of Red Mud Usage for Sustainable Iron and Steel Production
Application of CALPHAD-Based Tools to Develop More Sustainable Alloys and Processing Methods
Application of ICME Methods in Aerospace Applications
CALPHAD Simulations to Assist Sustainable Metal Processing
Green Ironmaking via Ammonia-Based Direct Reduction of Iron Ores
ICME Approaches Towards Sustainable Metal Additive Manufacturing
Pathways for Decarbonizing Steel
Quantifying Pyrometallurgy Process Options with Low-Dimensional Models
Scheil-Gulliver Constituent Diagrams for Designing Recycled Al-Alloys
Screening LCA for Rapid Assessment of Sustainable Production
The Road to Sustainable Steelmaking Technologies: Linking Fundamental and Applied Research Activities
Validation of the Coupled Random Cellular Automata Finite Element Model of Dynamic Recrystallization

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