报告题目(中文)：富氢气体在竖炉中直接还原铁矿石的静态建模

报告题目(英文)：Static modelling of the direct reduction of iron ores in shaft furnaces with hydrogen-rich gas

报告内容简介：With the promotion of the global carbon neutrality goal, the steel industry, as a high carbon emission field, urgently needs to transform to a green and low-carbon process. The traditional blast furnace converter long process steelmaking relies on coke as reducing agent, which produces a large amount of CO ɑ emissions in the production process, while the use of hydrogen (H ɑ) as reducing agent is expected to achieve near zero emissions. In recent years, the application of hydrogen rich gases (such as H ɑ, H ɑ - co mixture) in shaft furnace direct reduction process has attracted extensive attention. Compared with the traditional reducing gas based on CO, H ɑ has higher diffusivity and reactivity, but its strong endothermic characteristics pose a new challenge to the thermal balance of shaft furnace. At present, the process optimization of hydrogen based direct reduction still depends on experiments and numerical simulation, while static modeling can provide key theoretical support for reaction efficiency, energy consumption and gas utilization under steady-state conditions. The static model of hydrogen based direct reduction of iron ore in shaft furnace was established to reveal the reduction mechanism of hydrogen rich gas, optimize the process parameters, and provide a scientific basis for the large-scale industrial application of hydrogen energy metallurgy in the future.

报告人姓名：Henrik Saxén

报告人简介(中文)：Henrik Saxén教授曾担任奥博学术大学(Abo Akademi University)化工学院院长(Dean of the Faculty of Chemical Engineering)和副校长(Vice Rector)。奥博学术大学过程与系统工程实验室主任，北京科技大学、上海大学创新引智“111”计划客座教授。Henrik Saxén教授长期从事高炉生产过程控制与优化，工业过程机器学习、数据挖掘与应用，先后在国际著名期刊上发表200多篇学术论文，在该研究领域享有很高的学术声望。

报告人简介(英文)：Professor Henrik Saxén has served as Dean of the Faculty of Chemical Engineering and Vice Rector at Abo Akademi University. Director of the Process and Systems Engineering Laboratory at Abo Akademi University, Visiting Professor of National 111 Project (The Program of Introducing Talents of Discipline to University) at University of Science and Technology Beijing and Shanghai University. Professor Henrik Saxén has long been engaged in blast furnace production process control and optimization, industrial process machine learning, data mining and applications. He has published over 200 academic papers in internationally renowned journals and enjoys high academic reputation in this research field.

报告人单位(中文)：奥博学术大学

报告人单位(英文)：Abo Akademi University

报告时间：2025-08-30 13:00

报告地点：东区8号楼508

主办单位：上海大学

联系人：于要伟