在钢厂优化MAF-ENF-CO2协调:系统建模和减排场景
Biao Lu1, Mingyu Hu1, Demin Chen2
1School of Civil Engineering and Architecture, Anhui University of Technology, Ma'anshan, 243032, China.
Scientific reports
|March 5, 2026
概括
这项研究引入了钢铁生产的新型模型,确定了五个关键的脱碳化途径. 越来越多的废钢和清洁能源使用提供了最显著的减排.
科学领域:
- 工业生态学 工业生态学
- 环境工程 环境工程
- 材料科学 材料科学 材料科学
背景情况:
- 钢铁生产是全球碳排放的主要来源.
- 现有的模型往往缺乏对材料,能源和二氧化碳流量的综合分析.
- 脱碳化策略需要对生产流程的系统层面理解.
研究的目的:
- 为高炉-基本氧炉系统开发一个综合的三维"材料流-能量流-CO2" (MAFs-ENFs-CO2) 模型.
- 量化不同水平的生产变量和排放驱动因素之间的相互作用.
- 确定和评估钢铁制造业的关键脱碳途径.
主要方法:
- 开发一种新的MAFs-ENFs-CO2综合模型.
- 系统量化相互作用和传播效应.
- 场景分析以确定和评估脱碳路径.
主要成果:
- 确定了五个关键的脱碳途径,包括增加废钢比率,优化材料比率,增强废热回收和清洁能源替代.
- 清洁能源替代和废弃物比率的改善是主要的缓解策略,占总减排量的81.5% (6.6571万).
- 该模型量化了材料调整,过程优化和能源转型之间的关系.
结论:
- 综合模型提供了一个强大的会计框架,将运营参数与脱碳目标联系起来.
- 阐明了在钢铁生产中减少来源,提高工艺效率和整合最终处理的可行途径.
- 该研究支持中国的碳目标,并为全球能源密集型行业提供可扩展的路线图.
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