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铁钢工业能源消耗,二氧化碳排放和生产成本的客观优化
Yuhang Yang1, Lei Zhang1, Yuxing Yuan1
1SEP Key Laboratory of Eco-Industry, Northeastern University, Shenyang, Liaoning 110819, People's Republic of China; National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Shenyang, Liaoning 110819, People's Republic of China.
这项研究开发了钢铁制造工艺 (ISMP) 的多优化模型,以平衡能源消耗,二氧化碳排放和生产成本. 结果显示,通过过程调整,所有三个关键指标都显著减少了.
科学领域:
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
- 工业工程 工业工程 工业工程
背景情况:
- 钢铁制造业的高材料密度,能源消耗和二氧化碳排放构成重大挑战.
- 之前的研究还没有充分解决在价格波动和生产结构变化中平衡这些因素的问题.
研究的目的:
- 建立铁钢制造工艺 (ISMP) 中能源消耗,二氧化碳排放和生产成本的多优化模型.
- 分析价格波动和生产结构变化对这些关键指标的影响.
- 为优化确定关键过程参数.
主要方法:
- 基于质量和能量保存定律的多优化模型的开发.
- 纳入碳价格作为一个关键变量.
- 在不同目标功能下优化ISMP.
主要成果:
- 优化使生产成本降低了7.71%,二氧化碳排放降低了13.37%,能源消耗降低了每原钢的9.10%.
- 铁制造 (煤/矿石比例) 和钢制造 (废钢数量) 显著影响这三个指标.
- 矿石混合和煤炭混合主要影响生产成本,对能源消耗和二氧化碳排放的影响较小.
结论:
- 开发的模型有效地平衡了ISMP中的能源消耗,二氧化碳排放和生产成本.
- 铁制造和钢制造中的工艺参数对于实现可持续性和经济效率至关重要.
- 原材料的战略混合提供了降低成本的机会.
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