Supplementary data and code for article: Decarbonization scenarios for the iron and steel industry in context of a sectoral carbon budget: Germany as a case study

This repository provides the supplementary data and Python code to the paper titled “Decarbonization scenarios for the iron and steel industry in context of a sectoral carbon budget: Germany as a case study”, published in the Journal of Cleaner Production. This repository comprises the following files: 2 Python scripts to create a biosphere database and a database for the steel industry (see 1-create_biosphere-database.py; 2-create_industry_database.py) 2 excel files which contain the input data for the biosphere and industry database (see 1_biosphere_steel_import.xlsx; 2_industry_steel_import.xlsx). The industry file contains the model for the iron and steel production processes. 1 excel file containing the scenario parameters, i.e. the modelled market shares of future steel production in Germany (see 3_scenario_parameters_for_import_into_AB.xlsx) 1 excel file which lists the assumed emission factors for different energy carriers in the study (4_emission_factors.xlsx) These files allow to reproduce the results of our study. These are the future energy demand and respective CO2 emissions for four steel production scenarios in Germany. The scenario results were calculated with the software of the activity browser. More details on the scenario data and the iron and steel production model is provided in the publication itself: Harpprecht, C., Naegler, T., Steubing, B., Tukker, A., Simon, S., 2022. Decarbonization scenarios for the iron and steel industry in context of a sectoral carbon budget: Germany as a case study. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.134846 Funding: This research was funded by the Helmholtz Initiative Climate Adaptation and Mitigation, Cluster I “Net-Zero-2050”. License: CC-BY 4.0 license for DLR (German Aerospace Center