Exploring the Use of Software and Process-Level Primary Data to Reduce GHG Emissions in the Steel Sector

This case study describes a joint pilot project between RMI, SINAI Technologies, and ArcelorMittal to implement RMI's Steel Emissions Reporting Guidance using a dedicated software platform to improve carbon accounting and transparency in the steel sector.

• RMI's Horizon Zero project is creating sector-specific carbon accounting methodologies to improve the transparency and traceability of supply chain emissions, which is viewed as essential for accelerating decarbonization in the materials sector.
• A pilot utilizing SINAI Technologies' software to apply RMI's Steel Emissions Reporting Guidance shows that gathering primary emissions data at the process level assists companies in meeting strict reporting mandates and allows steel producers to distinguish their products by emissions performance.
• The availability of emissions information at the product level enables buyers to ensure their procurement activities support the broader goal of industry-wide decarbonization.

APA

RMI (2023). Exploring the Use of Software and Process-Level Primary Data to Reduce GHG Emissions in the Steel Sector. https://rmi.org/resources/exploring-use-of-software-and-primary-data-to-reduce-ghg-emissions-in-the-steel-sector/

Chicago

RMI. Exploring the Use of Software and Process-Level Primary Data to Reduce GHG Emissions in the Steel Sector. 2023. https://rmi.org/resources/exploring-use-of-software-and-primary-data-to-reduce-ghg-emissions-in-the-steel-sector/.

Wikipedia

{{cite report |author=RMI |title=Exploring the Use of Software and Process-Level Primary Data to Reduce GHG Emissions in the Steel Sector |date=10 July 2023 |url=https://rmi.org/resources/exploring-use-of-software-and-primary-data-to-reduce-ghg-emissions-in-the-steel-sector/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{rmi2023exploring, author = {{RMI}}, title = {{Exploring the Use of Software and Process-Level Primary Data to Reduce GHG Emissions in the Steel Sector}}, institution = {RMI}, year = {2023}, month = jul, url = {https://rmi.org/resources/exploring-use-of-software-and-primary-data-to-reduce-ghg-emissions-in-the-steel-sector/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }