流化床氢直接还原铁的动力学分析及能量利用:铁矿石成分的影响

IF 7.3 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jiehan Zhang, Linwei Wang, Shulin Wang, Chuanhao Wang, Shiyuan Li
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引用次数: 0

摘要

本研究探讨了矿物晶体组成如何影响氢基流化床中直接还原铁(DRI)的性能,重点研究了Fe-O化合物和杂原子相互作用。四种矿石的还原结果表明,Fe-O化合物的晶相和含量影响最终还原度和活化能,导致键合行为有较大差异。结合能量分析可知,还原度超过80%的矿物能耗更低,碳减排量更高。采用响应面法,系统评价了关键矿物组分对还原效率和产物粘接的影响。Fe2O3对还原度的正向影响最大,其次是Fe3O4,而Si/Al/ Ca-O (>6%)对产物粘附的影响最大。Fe2O3 - FeO、Fe2O3 - Fe3O4和Fe3O4 - si /Al/ Ca-O的相互作用导致还原度降低,其中Fe2O3、FeO和Fe3O4分别在0-15%、4-10%和5-20%范围内影响显著。这些发现为氢基DRI生产提供了目标矿石选择和混合策略,特别是对于富含磁铁矿或高杂质的原料。建立的预测模型支持矿物投入的实时调整,以平衡还原效率和运行稳定性,推进向碳中性炼铁的过渡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Kinetics Analysis and Energy Utilization of Hydrogen Direct Reduction Iron in a Fluidized Bed: Influence of Iron Ore Composition

Kinetics Analysis and Energy Utilization of Hydrogen Direct Reduction Iron in a Fluidized Bed: Influence of Iron Ore Composition
This study investigates how mineral crystal composition governs direct reduction iron (DRI) properties in hydrogen-based fluidized beds, focusing on Fe–O compounds and heteroatomic interactions. The reduction results for four ores indicate that the crystal phase and content of Fe–O compounds influence the final reduction degree and activation energy, leading to considerable differences in bonding behavior. Combined with energy analysis, it is evident that minerals with a reduction degree exceeding 80% exhibit lower energy consumption and a higher carbon emission reduction. Using response surface methodology, we systematically evaluated the effects of key mineral constituents on the reduction efficiency and product bonding. Fe2O3 exerts the most substantial positive influence on reduction degree, followed by Fe3O4, while Si/Al/Ca–O (>6%) dominantly triggers product adhesion. The interaction among Fe2O3–FeO, Fe2O3– Fe3O4, and Fe3O4–Si/Al/Ca–O leads to the decreased reduction degree, and Fe2O3, FeO, and Fe3O4 exhibit significant influence within the ranges of 0–15%, 4–10%, and 5–20%, respectively. These findings enable target ore selection and blending strategies for hydrogen-based DRI production, particularly for magnetite-rich or high-impurity feedstocks. The established predictive model supports real-time adjustment of mineral inputs to balance the reduction efficiency and operational stability, advancing the transition toward carbon-neutral ironmaking.
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来源期刊
ACS Sustainable Chemistry & Engineering
ACS Sustainable Chemistry & Engineering CHEMISTRY, MULTIDISCIPLINARY-ENGINEERING, CHEMICAL
CiteScore
13.80
自引率
4.80%
发文量
1470
审稿时长
1.7 months
期刊介绍: ACS Sustainable Chemistry & Engineering is a prestigious weekly peer-reviewed scientific journal published by the American Chemical Society. Dedicated to advancing the principles of green chemistry and green engineering, it covers a wide array of research topics including green chemistry, green engineering, biomass, alternative energy, and life cycle assessment. The journal welcomes submissions in various formats, including Letters, Articles, Features, and Perspectives (Reviews), that address the challenges of sustainability in the chemical enterprise and contribute to the advancement of sustainable practices. Join us in shaping the future of sustainable chemistry and engineering.
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