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2025 Li Blast Furnace Profile Efficiency

JUNJIE LI, LULU JIAO

2026enblast furnaceenergy efficiencyprocess modelingfurnace designsteelmakingcarbon emissions

Abstract

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This research addresses the optimization of blast furnace (BF) profiles to enhance energy efficiency, amidst the rising global steel consumption and associated carbon emissions. The objective is to systematically analyze the effects of key variables on BF geometry, using a 3D BF process model across a volume range of 1000 to 5000 m³. Methodologically, the study identifies optimal BF geometries under fixed operational conditions by minimizing total energy consumption, ensuring a robust approach to replicate industrial trends related to BF volume. The results illustrate that the model's predictions align with established metrics, demonstrating the significance of transport phenomena within the furnace and how they relate to the geometric trends. Furthermore, the findings reveal that preset geometric constraints uniquely impact the optimum BF profile, emphasizing the potential need for customized designs to better meet diverse production requirements. Ultimately, this work provides crucial insights into the synergistic relationship between BF design, operational efficiency, and environmental sustainability.

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Cite This Work

@article{23c45464-77a4-473b-8e1f-b1192a5bdc45,
  title={2025 Li Blast Furnace Profile Efficiency},
  author={JUNJIE LI and LULU JIAO},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - 2025 Li Blast Furnace Profile Efficiency
AU  - JUNJIE LI
AU  - LULU JIAO
PY  - 2026
LA  - en
ER  -

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