摘要
在推进“双碳”目标实现的进程中,中国炼铁工业面临着节能减排的重大挑战,在传统高炉向低碳高炉转换的炉况过渡过程中,研究炉内热化学行为演变规律对炼铁技术绿色低碳发展具有重要的指导和推动作用。本研究采用计算流体动力学-离散单元(CFD-DEM)耦合方法解析了布料批重动态改变对高炉内部温度场、软熔带以及铁矿石还原度分布的瞬时影响。结果表明:料批重减小21.50%,炉料平均温度降低约5.81%,软熔带高度缩减约7.18%,炉内矿石还原度降低约3.08%,反之亦然,即当料批重恢复时,实验高炉主要运行参数及特征可以恢复至先前水平;通过调整料批重,高炉内部从一个稳定状态过渡到另一个稳定状态,两个稳定状态过渡过程的时间成本逐渐减少;炉内炉料均温越高,在批重改变时会更快地达到新的稳定状态。
In order to achieve the“carbon peaking and carbon neutrality”goal,China's ironmaking industry is facing a major challenge of energy saving and emission reduction.The study of the evolution of thermochemical behaviors during the transition from conventional blast furnaces to low-carbon blast ones plays an important guiding and promoting role in the green and low-carbon development of ironmaking technology.In this work,a coupled computational fluid dynamics and discrete element method(CFD-DEM)approach was employed to investigate the instantaneous effects of the dynamic changes of batch weight on the temperature field,cohesive zone and iron ore reduction degree distribution in the blast furnace.The results showed that when the batch weight reduced by 21.50%,the average solid temperature,cohesive zone height and average iron ore reduction degree were reduced by 5.81%,7.18%and 3.08%,and vice versa.It was found that the main operating parameters and characteristics could be restored to their previous levels when the batch weight was reduced or added to about 21.50%for this studied experimental blast furnace.Additionally,the restoration time cost of the transition process between the two dynamic equilibriums gradually decreased due to the adjustment of batch weight.In addition,the higher the average temperature of the inner burden,the faster it will reach a new dynamic equilibrium during batch weight variation.
作者
季朗永
范海瀚
翁凌熠
苏中方
崔佳鑫
鄂殿玉
JI Langyong;FAN Haihan;WENG Lingyi;SU Zhongfang;CUI Jiaxin;E Dianyu(Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems,Jiangxi University of Science and Technology,Nanchang 330013,China;International Institute for Innovation,Jiangxi University of Science and Technology,Nanchang 330013,China)
出处
《有色金属科学与工程》
CAS
北大核心
2023年第6期764-772,共9页
Nonferrous Metals Science and Engineering
基金
国家自然科学基金资助项目(51904122,52264042)
中国博士后科学基金资助项目(2021M690975)
江西省自然科学基金资助项目(20212BAB214023)。
关键词
高炉过程
料批重
过程演变
模拟仿真
热化学行为
blast furnace process
batch weight
process evolution
modelling and simulation
thermochemical behavior