Xinyi Wu, Jing Meng
The iron and steel sector is central to national net-zero efforts but remains hard to abate. Existing decarbonization roadmaps fail to guide technology choices for individual plants, given their heterogeneity and economic constraints. 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 (CO2) emissions by 7.8 Gt and 7.2 Gt at average costs of –US$8.5 tCO2−1 and US$0.3 tCO2−1, 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 CO2 reductions at costs of US$7–15 tCO2−1 in Chinese plants and US$26–75 tCO2−1 in plants across Japan, Korea and Europe. After 2040, green-hydrogen-based steelmaking is estimated to contribute an additional 0.3 Gt of CO2 abatement in European plants at costs of US$27–44 tCO2−1. 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.
@article{32aaf9dd-a972-404f-9093-44d4fa927ce6,
title={Technological pathways for cost-effective steel decarbonization},
author={Xinyi Wu and Jing Meng},
year={2025},
language={en}
}TY - JOUR TI - Technological pathways for cost-effective steel decarbonization AU - Xinyi Wu AU - Jing Meng PY - 2025 LA - en ER -
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
Robert A. Francis
This document serves as a comprehensive introduction to the metallurgy of steel and its alloys, focusing on various aspects of iron and steel manufact
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
Unknown, Unknown
This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand