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到 2050 年将美国钢铁消费的 CO 排放量减少 70%。

Reducing CO Emissions from U.S. Steel Consumption by 70% by 2050.

机构信息

Center for Sustainable Systems, School of Natural Resources & Environment, University of Michigan, 440 Church Street, Ann Arbor, Michigan 48109, United States.

Department of Mechanical Engineering, University of Michigan, 2350 Hayward Street, Ann Arbor, Michigan 48109, United States.

出版信息

Environ Sci Technol. 2020 Nov 17;54(22):14598-14608. doi: 10.1021/acs.est.0c04321. Epub 2020 Oct 26.

DOI:10.1021/acs.est.0c04321
PMID:33105076
Abstract

The steel sector emits 25% of global industrial greenhouse gases, and the U.S. is the world's second-largest steel consumer. In this article, we determine how CO emissions attributable to U.S. steel consumption can be cut by 70% by 2050. We vary four key steel cycle parameters (U.S. steel stocks per capita, recycling rate, product lifespan, and manufacturing yield) in a dynamic material flow analysis to determine a range of values for annual steel demand and the scrap available for recycling. We combine these data with steelmaking technology and trade scenarios to calculate potential U.S. steel sector emissions in each year to 2050. Only 20% of the pathways we modeled for the U.S. steel sector achieved the emissions target. Emissions in 2050 are most sensitive to the CO released per kilogram of steel produced and the steel stocks per capita. Deployment of emerging low carbon steelmaking technology alone is insufficient to achieve the emissions cut; conversely, reducing stocks per capita from the current ∼11 tons/capita toward levels in the U.K. and France, ∼8 tons/capita, would enable the emissions cut to be achieved under a range of foreseeable steelmaking technology scenarios and steel cycle parameters. If action to reduce per capita steel stocks is delayed by more than five years, then it is likely infeasible for the U.S. steel sector to stay within its 2050 CO budget because of the increased demand for emissions-intensive steel made from iron ore.

摘要

钢铁行业排放了全球工业温室气体的 25%,而美国是全球第二大钢铁消费国。本文旨在研究 2050 年美国钢铁消费的二氧化碳排放量如何减少 70%。我们通过动态物质流分析,对四个关键的钢铁周期参数(美国人均钢铁存量、回收率、产品寿命和制造合格率)进行了调整,以确定每年的钢铁需求和可回收利用的废钢量的取值范围。我们将这些数据与钢铁制造技术和贸易情景相结合,以计算出 2050 年美国钢铁部门的潜在排放量。我们所构建的美国钢铁部门的路径模型中,只有 20%达到了减排目标。2050 年的排放量对每生产一公斤钢所排放的二氧化碳以及人均钢铁存量最为敏感。仅采用新兴低碳炼钢技术不足以实现减排目标;相反,如果将目前的人均钢铁存量(约 11 吨/人)降低到英国和法国的水平(约 8 吨/人),那么在各种可预见的炼钢技术情景和钢铁周期参数下,就有可能实现减排目标。如果减少人均钢铁存量的行动推迟五年以上,那么由于对铁矿石制成的高排放强度钢铁的需求增加,美国钢铁部门可能无法在 2050 年的二氧化碳预算内运作。

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