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氢气加热方式及数值模拟研究现状

Research status of hydrogen heating methods and numerical simulation

  • 摘要: 为应对全球气候变化, 实现国家"双碳"目标, 钢铁工业作为碳排放的关键领域, 亟须清洁能源转型。氢基直接还原炼铁技术以绿氢替代焦炭, 是实现零碳炼铁的公认技术路径。然而, 氢气还原铁氧化物为强吸热反应, 其动力学速率受温度影响显著, 将氢气预热至1 000 ℃以上是提升反应效率、降低吨钢能耗的核心技术环节。本文聚焦纯氢竖炉的电加热氢气预热装置, 系统综述了主流加热方式的技术特点与应用现状, 并深入剖析了氢气加热过程中多物理场耦合数值模拟技术的研究进展。现有气体电加热仿真技术通过电磁-热-流体-结构的协同建模, 实现了对加热过程的精准控制、流动传热优化及热应力与氢脆风险的预测, 成为装置优化设计的关键工具。但当前技术仍面临多场耦合收敛性、高温氢脆动态建模、多尺度网格划分及绿电波动适应性等挑战。未来需聚焦高温电加热多物理场耦合的核心难题, 结合数值建模与试验验证的协同策略, 提升模拟精度与计算效率; 同时强化仿真与工艺系统的深度融合, 实现加热过程与制氢、冶金工艺的协同优化及与绿电波动的动态适配, 构建"高保真仿真-试验校准-工艺集成"的高效设计体系, 为钢铁行业清洁能源转型和氢能商业化应用提供核心技术支撑。

     

    Abstract: To address global climate change and achieve the nation's "dual carbon" goals, the steel industry, a key carbon-emitting sector, is in urgent need of a clean energy transition. Hydrogen-based direct reduction ironmaking technology, which replaces coke with green hydrogen, is recognized as a pathway to carbon-neutral iron production. However, the reduction of iron oxides by hydrogen is a strongly endothermic reaction whose kinetic rate is significantly influenced by temperature. Preheating hydrogen to above 1 000 ℃ is a core step to enhance reaction efficiency and reduce energy consumption per ton of steel. This paper focuses on the electric heating hydrogen preheating system for hydrogen-based vertical furnaces, systematically reviews the technical characteristics and application status of mainstream heating methods, and deeply analyzes the research progress in multiphysics coupling numerical simulation techniques for hydrogen heating processes. Existing gas electric heating simulation technologies achieve precise control of the heating process, optimize flow and heat transfer, and predict thermal stresses and hydrogen embrittlement risks through collaborative modeling of electromagnetic-thermal-fluid-structure fields, which have become key tools for design optimization. However, current technologies still face challenges such as multi-field coupling convergence, dynamic modeling of high-temperature hydrogen embrittlement, multi-scale mesh generation, and adaptability to green electricity fluctuations. Future efforts should focus on addressing the core challenges of multi-physics coupling in high-temperature electric heating, combining numerical modeling with experimental validation to improve simulation accuracy and computational efficiency. Simultaneously, the deep integration between simulation and process systems must be strengthened to realize the synergistic optimization of heating processes with hydrogen production and metallurgical operations, as well as the dynamic adaptation to green electricity fluctuations. This will establish an efficient design framework of "high-fidelity simulation-experimental calibration-process integration", providing core technological support for the clean energy transition of the steel industry and the commercial application of hydrogen energy.

     

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