Metal bottlenecks along energy transitions call for technology flexibility and sobriety

In the "Data" folder, you’ll find all necessary data to run the "IAM_Techno_Optimisation.py" script, available on GitHub (https://github.com/Pelotte/iam-metal-demand-optimizer/tree/master). The "IAM_Techno_Optimisation.py" script is a tool designed to: Quantify metal supply and demand by sector through 2050, using energy and transport projections from various IAMs and SSP-RCP scenarios. Optimize the IAM technological mix, minimizing adjustments needed to prevent metal demand from exceeding supply constraints. This tool supports all IAMs with power projections for SSP-RCP scenarios provided in the IPCC’s Sixth Assessment Report (AR6), Working Group III, and available in the IIASA SSP database, but SSP3 has been excluded since it does not align with the scope of our study. Data for RCP 2.6, SSPs 1, 2, 4, 5, of the SSP marker IAM models of the IPCC, are organized in the "Capacity Factor IAM," "GDP IAM," "Population IAM", "Transport IAM" and "Power Capacity IAM" folders. See the GitHub README for more details.