Numerical simulation of H2-intensive shaft furnace direct reduction process

高炉煤气 高炉 工作(物理) 天然气 炼钢 还原(数学) 流量(数学) 体积流量 传热 颗粒 工艺工程 材料科学 环境科学 机械工程 机械 冶金 废物管理 工程类 复合材料 几何学 数学 物理
作者
Zhaoyang Li,Zheng Qi,Lechen Zhang,Meng Guo,Liang Dong,Qiang Dong
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:409: 137059-137059 被引量:44
标识
DOI:10.1016/j.jclepro.2023.137059
摘要

The shaft furnace based H2-intensive direct reduction process has the potential to realize "carbon neutrality" and can significantly reduce the CO2 emission, compared to the traditional blast furnace process. To date, no commercial-scale shaft furnace using H2 has been established, due to the lack of corresponding understanding. In this work, a continuum-based shaft furnace model is developed, which considers the multi-phase flows of gas and solid, heat and mass transfer as well as key chemical reactions in the direct reduction process. It is validated by comparing the simulated performance indicators with those measured in the plant. Using the model, the effects of the pressure at the cooling gas outlet have been studied. The results show that the pressure at the cooling gas outlet has a significant impact on in-furnace gas flow, which should be carefully controlled to separate the reducing and cooling gas effectively. As for the product, the carburization and metallization of direct reduced iron can also be optimized through proper control of the pressure at the cooling gas outlet. On this basis, under the same injection rate, the production using H2 is compared with the normal one using reformed natural gas, under their respectively optimized conditions. It is shown that the production with H2 delivers direct reduced iron with less carburization and metallization. Charging large-sized pellets into the furnace centre can solve the problems to a degree by improving the gas flow distribution in the reducing zone. This work should provide a deeper insight into the cleaner production of the shaft furnace based direct reduction process, particularly that operated with H2.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
飘逸晓曼发布了新的文献求助10
2秒前
2秒前
2秒前
沙漠大雕发布了新的文献求助10
2秒前
2秒前
3秒前
彭美欣发布了新的文献求助10
3秒前
Jasper应助墨轼采纳,获得10
3秒前
霍悉尼完成签到,获得积分10
4秒前
孙翘楚完成签到,获得积分10
4秒前
5秒前
5秒前
YH666完成签到,获得积分10
5秒前
体贴茗完成签到,获得积分20
5秒前
6秒前
酷炫安雁发布了新的文献求助10
6秒前
科研通AI2S应助爱科研采纳,获得10
6秒前
Orange应助郭小宝采纳,获得10
6秒前
怕黑向卉发布了新的文献求助10
7秒前
852应助111采纳,获得10
7秒前
小苏打完成签到,获得积分10
7秒前
风笑完成签到 ,获得积分10
7秒前
8秒前
寒冷黎云发布了新的文献求助10
8秒前
大哈鱼发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
10秒前
SaturnY完成签到,获得积分10
10秒前
vvvvyl完成签到,获得积分10
10秒前
YH666发布了新的文献求助10
10秒前
10秒前
蓝色的鱼完成签到,获得积分10
11秒前
12秒前
JamesPei应助LLL采纳,获得10
12秒前
yqq38完成签到,获得积分10
12秒前
JamesPei应助慈祥的书琴采纳,获得10
12秒前
木子秀完成签到,获得积分10
12秒前
13秒前
Issue完成签到,获得积分20
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Polymorphism and polytypism in crystals 1000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Der Gleislage auf der Spur 500
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6076422
求助须知:如何正确求助?哪些是违规求助? 7907557
关于积分的说明 16351722
捐赠科研通 5214297
什么是DOI,文献DOI怎么找? 2788343
邀请新用户注册赠送积分活动 1771062
关于科研通互助平台的介绍 1648459