Correlating Impacts of Injected Fuels on Carbon Emissions in Blast Furnace with Computational Fluid Dynamics Modeling

Author:

Ugarte Orlando J.1ORCID,Okosun Tyamo1,Nielson Samuel1,Zhou Chenn Q.1

Affiliation:

1. Center for Innovation through Visualization and Simulation (CIVS) and Steel Manufacturing Simulation and Visualization Consortium (SMSVC) Purdue University Northwest Hammond 46323 IN USA

Abstract

A major challenge for steelmaking is the reduction of CO2 emissions. In this regard, the blast furnace (BF) is critical due to the high associated CO2 levels. This investigation assesses the impact of tuyere‐injected fuels on BF CO2 emissions. Specifically, computational fluid dynamics results obtained previously at Purdue University Northwest are analyzed to obtain CO2 emissions when natural gas (NG), syngas, hydrogen, or hydrogen/NG are injected. CO2 emissions are compared with those produced when 95 kg of NG/thm is injected. Among these scenarios, the largest CO2 reduction occurs when 102 kg of syngas/thm (COG feedstock #1) is injected at 973 K, reducing CO2 by 190.6 kg thm−1. The largest CO2 reduction obtained with NG occurs when 130 kg thm−1 is injected at 600 K, reducing emissions by 65 kg thm−1. H2 injection also reduces CO2, but requires careful adjusting to reach stable operation. For instance, injecting 35 kg of H2/thm reduces CO2 by 52 kg thm−1. Increasing gaseous injection rates can significantly reduce CO2 emissions, with fuel preheating providing an addendum, but high injection rates can lead to unstable operation. Furthermore, results show a correlation between CO2 emissions and average temperature of shaft region for multiple fuels and injection conditions.

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Reference32 articles.

1. Our World in Data https://ourworldindata.org(accessed: September 2021).

2. Paris Climate Agreement https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement(accessed: July 2022).

3. M.Xylia S.Silveira J.Duerinck F.Meinke-HubenyIn2016 ECEEE Industrial Summer Study: Industrial Efficiency European Council for an Energy Efficient Economy Berlin Germany 12–14 September 2016 pp.321–333.

4. International Energy Agency 2021.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3