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A New Methodological Approach on the Characterization of Optimal Charging Rates at the Hydrogen Plasma Smelting
Daniel Ernst1, Michael Andreas Zarl2, Julian Cejka1
1Department of Metallurgy, Chair of Ferrous Metallurgy, Montanuniversitaet Leoben, Franz-Josef Str. 18, 8700 Leoben, Austria.
Materials (Basel, Switzerland)
|June 24, 2022
Summary
This study optimizes hydrogen plasma smelting reduction (HPSR) for greenhouse gas-free steel production. High iron ore feeding rates and low hydrogen plasma gas improve efficiency and reduce process times.
Area of Science:
- Metallurgical Engineering
- Chemical Engineering
- Sustainable Manufacturing
Background:
- The European steel industry must reduce greenhouse gas (GHG) emissions to meet climate targets.
- Developing novel, GHG-free steel production technologies is crucial for emission reduction.
- Hydrogen Plasma Smelting Reduction (HPSR) is a promising technology for sustainable steelmaking.
Purpose of the Study:
- To investigate process parameters influencing reduction kinetics in continuous charging HPSR.
- To optimize HPSR for improved efficiency and reduced process times.
- To enhance hydrogen conversion and oxygen removal rates in GHG-free steel production.
Main Methods:
- Investigated preliminary tests with varying charging rates and plasma gas compositions.
- Conducted main experiments to determine the effect of pre-reduction degree on kinetics and hydrogen conversion.
- Statistically evaluated results using MODDE® 13 Pro to identify significant process influences.
Main Results:
- High hydrogen utilization achieved with high iron ore feeding rates and low hydrogen plasma gas concentrations.
- Low pre-reduction degree and high oxide melt proportion resulted in high oxygen removal rates.
- Calculated reduction constant (1.13 × 10⁻⁵ kg O/m² s Pa) is seven times higher than literature values.
Conclusions:
- Optimized HPSR parameters lead to significantly enhanced reduction kinetics and efficiency.
- The HPSR process demonstrates potential for achieving GHG-free steel production targets.
- Further optimization can lead to substantial improvements in oxygen removal rates and reduced process times.

