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基于物质-能量-碳关联效应的钢铁生产过程 CO 排放核算及减排分析。

CO emission accounting and emission reduction analysis of the steel production process based on the material-energy-carbon correlation effect.

机构信息

School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.

School of Energy and Environment, City University of Hongkong, Hongkong, 999077, China.

出版信息

Environ Sci Pollut Res Int. 2023 Dec;30(59):124010-124027. doi: 10.1007/s11356-023-30830-z. Epub 2023 Nov 23.

Abstract

This paper develops a process-level carbon emission calculation model for iron and steel enterprises through the carbon emission mechanism of the whole production process. The relationship between material, energy and carbon flows is considered and combined. The carbon emissions of enterprises are divided into industrial emissions and combustion emissions, and the indirect emissions of purchased intermediate products and electricity purchased from the grid are also considered. Carbon emission targets and corresponding emission reduction strategies are formulated at the enterprise and process levels. For example, consider an iron and steel enterprise. The different types of carbon emissions are accounted for, with their reduction potential analysed based on the carbon material flow analysis method. The results show that the carbon emission of this enterprise is 1930.87 kgCO/t (CS), and the combustion emission caused by energy flow is the main contributor to the enterprise's carbon emission, accounting for 57.02% of the total emission. The carbon emission during iron-making accounts for 69.06% of the entire process and is critical in any carbon emission reduction of the enterprise. Among them, process emissions from the blast furnace process account for 81.79% of industrial emissions of the whole process, which is 356.51 kgCO/t (CS), and is the main challenge of low carbon transformation in this extensive process. This study highlights that increasing the integrated steel-making scrap ratio and electric furnace steel production can break through the existing emission reduction limits. A 65.02% carbon emission reduction can be achieved, and using green electricity can reduce emissions by 24.15%. Reasonably determining the amount of purchased coke and paying attention to the high-value recycling of byproduct gas resources in the plant are essential to achieve low-carbon economic development of steel.

摘要

本文通过钢铁全生产过程的碳排放机理,开发出一种针对钢铁企业的过程级碳排放量计算模型。该模型综合考虑并结合了物料、能源与碳流之间的关系,将企业碳排放分为工业排放和燃烧排放,同时考虑了外购中间产品和外购电网电力的间接排放。在企业和过程两个层面制定了碳排放量目标和相应的减排策略。例如,考虑一家钢铁企业,对不同类型的碳排放量进行核算,并基于碳物料流分析方法,对其减排潜力进行分析。结果表明,该企业碳排放量为 1930.87kgCO/t(CS),其中由能源流引起的燃烧排放是企业碳排放的主要贡献者,占总排放量的 57.02%。炼铁过程的碳排放占整个过程的 69.06%,是企业任何碳减排的关键。其中,高炉工序过程排放占整个过程工业排放的 81.79%,为 356.51kgCO/t(CS),是该粗放过程低碳转型的主要挑战。本研究表明,提高综合炼钢废钢比和电炉钢产量可以突破现有减排限制,实现 65.02%的碳减排,使用绿色电力可减排 24.15%。合理确定外购焦炭量并关注厂内副产气资源的高值化回收利用,是实现钢铁低碳经济发展的关键。

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