Technological pathways for cost-effective steel decarbonization

The iron and steel sector is central to national net-zero efforts but remains hard to abate<sup>1,2</sup>. Existing decarbonization roadmaps fail to guide technology choices for individual plants, given their heterogeneity and economic constraints<sup>3-5</sup>. Here, by integrating two global plant-level datasets and forecasted technology costs, we develop a model to identify the least-cost technology pathway for each plant worldwide in alignment with national carbon-neutrality targets. In the short term (pre-2030), energy efficiency improvements and scrap reuse are the cheapest decarbonization strategies, reducing cumulative global carbon dioxide (CO<sub>2</sub>) emissions by 7.8 Gt and 7.2 Gt at average costs of -US$8.5 tCO<sub>2</sub><sup>-1</sup> and US$0.3 tCO<sub>2</sub><sup>-1</sup>, respectively. In the long term (after 2030), smelt reduction with carbon capture is expected to become technically mature and economically viable, achieving approximately 6.0 Gt of CO<sub>2</sub> reductions at costs of US$7-15 tCO<sub>2</sub><sup>-1</sup> in Chinese plants and US$26-75 tCO<sub>2</sub><sup>-1</sup> in plants across Japan, Korea and Europe. After 2040, green-hydrogen-based steelmaking is estimated to contribute an additional 0.3 Gt of CO<sub>2</sub> abatement in European plants at costs of US$27-44 tCO<sub>2</sub><sup>-1</sup>. This study tailors plant-specific least-cost technology pathways that reconcile stakeholders' economic interests with climate objectives, enabling actionable decarbonization strategies and supporting global net-zero targets.

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Publication Details

Journal
Nature
Published
2025-10-29
DOI
https://doi.org/10.1038/s41586-025-09658-9
Citations
8
Primary Topic
Iron and Steelmaking Processes
Type
article
Field-Weighted Citation Impact
5.71
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article

Technological pathways for cost-effective steel decarbonization

D’Maris Coffman, Jing Meng, Laixiang Sun, Andreas Kontoleon et al.
8 citations
Nature
Iron and Steelmaking Processes
5.71
article

Technological pathways for cost-effective steel decarbonization

D’Maris Coffman, Jing Meng, Laixiang Sun, Andreas Kontoleon, Dabo Guan, Xiao‐Qin Wu, Xi Liang
article en
8 citations

Abstract

The iron and steel sector is central to national net-zero efforts but remains hard to abate<sup>1,2</sup>. Existing decarbonization roadmaps fail to guide technology choices for individual plants, given their heterogeneity and economic constraints<sup>3-5</sup>. Here, by integrating two global plant-level datasets and forecasted technology costs, we develop a model to identify the least-cost technology pathway for each plant worldwide in alignment with national carbon-neutrality targets. In the short term (pre-2030), energy efficiency improvements and scrap reuse are the cheapest decarbonization strategies, reducing cumulative global carbon dioxide (CO<sub>2</sub>) emissions by 7.8 Gt and 7.2 Gt at average costs of -US$8.5 tCO<sub>2</sub><sup>-1</sup> and US$0.3 tCO<sub>2</sub><sup>-1</sup>, respectively. In the long term (after 2030), smelt reduction with carbon capture is expected to become technically mature and economically viable, achieving approximately 6.0 Gt of CO<sub>2</sub> reductions at costs of US$7-15 tCO<sub>2</sub><sup>-1</sup> in Chinese plants and US$26-75 tCO<sub>2</sub><sup>-1</sup> in plants across Japan, Korea and Europe. After 2040, green-hydrogen-based steelmaking is estimated to contribute an additional 0.3 Gt of CO<sub>2</sub> abatement in European plants at costs of US$27-44 tCO<sub>2</sub><sup>-1</sup>. This study tailors plant-specific least-cost technology pathways that reconcile stakeholders' economic interests with climate objectives, enabling actionable decarbonization strategies and supporting global net-zero targets.

NatureVol. 647(8088)
University of Cambridge (GB), Department of Science and Technology (IN), The London College (GB), University College London (GB), University of Maryland, College Park (US), Tsinghua University (CN)
Openalex Percentile: Top 3%
Iron and Steelmaking Processes
5.71
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