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:48
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
小小完成签到,获得积分10
1秒前
舒服的楷瑞的应助被奥沙利楠采纳,获得10
1秒前
尔尔洒脱完成签到,获得积分10
2秒前
hxhdh的应助被sdzylx7采纳,获得30
2秒前
韩han发布了新的文献求助10
2秒前
3秒前
荷包蛋发布了新的文献求助10
4秒前
4秒前
4秒前
nowfitness发布了新的文献求助10
4秒前
4秒前
噗噗完成签到,获得积分10
4秒前
5秒前
隐形曼青的应助被小贱贱采纳,获得10
5秒前
上官若男的应助被hh采纳,获得10
6秒前
6秒前
科研通AI6.4的应助被王一鸣采纳,获得10
7秒前
ycc完成签到,获得积分10
7秒前
7秒前
奈何完成签到,获得积分10
8秒前
8秒前
JamesPei的应助被记得看文献采纳,获得10
8秒前
9秒前
9秒前
吴彦祖发布了新的文献求助10
9秒前
大芳儿发布了新的文献求助10
9秒前
WWW发布了新的文献求助10
9秒前
Sharon发布了新的文献求助10
9秒前
wfs完成签到,获得积分10
10秒前
星河发布了新的文献求助10
10秒前
11秒前
fuyishuai发布了新的文献求助10
11秒前
赘婿的应助被向日葵采纳,获得10
11秒前
仙咖裙发布了新的文献求助10
12秒前
12秒前
v0id的应助被奥沙利楠采纳,获得10
13秒前
13秒前
明灯三千完成签到,获得积分10
13秒前
纸笔有限完成签到,获得积分10
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
Les Mantodea De Guyane 2000
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 500
Nonlinear vehicle active suspension system control method based on the extended high gain observer 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8001136
求助须知:如何正确求助?哪些是违规求助? 9453986
关于积分的说明 21147322
捐赠科研通 7574041
什么是DOI,文献DOI怎么找? 3381285
关于科研通互助平台的介绍 2513968
邀请新用户注册赠送积分活动 2415424