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

A pilot project involving RMI, SINAI Technologies, and ArcelorMittal demonstrates that using process-level primary emissions data and dedicated software helps steel producers meet reporting requirements and allows buyers to verify the decarbonization impact of their procurement.

• The use of process-level primary emissions data assists steel companies in meeting stricter emissions reporting mandates and enables them to distinguish their products based on their specific emissions performance.
• Providing emissions information at the product level allows buyers to ensure their procurement decisions 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} }