Exiobase HYBRID extended to model innovative steelmaking routes for EU

Description This repository contains all data and code to extend the hybrid-units version of EXIOBASE to account for new innovative steelmaking routes envisaged to be deployed in the EU to meet decarbonization targets for the steel industry. The new model was built by adopting the MARIO open-source framework.    The database can be used to perform scenario and sensitivity analysis described in an open-access paper (DOI: https://doi.org/10.1088/1748-9326/ad5bf1) All EU member states have been aggregated into one region. A slight aggregation on electricity production activities and commodities have been also performed, to nowcast electricity production mixes to 2022 based on Ember data. Data from Ember have been rearranged to calculate electricity mixes by year and Exiobase regions (file available in the Database folder. The database implements in the EU the following new activities and commodities: New activities New commodities Manufacturing of steam reformer Steam reformer Manufacturing of electrolyser Electrolyser Hydrogen production with steam reforming Steam reforming hydrogen Hydrogen production with electrolysis Electrolysis hydrogen Steel production through 100%H2-DR   Steel production with H2 inj to BF   Steel production with charcoal inj to BF   Steel production with charcoal inj to BF + CCUS   Steel production through NG-DR   Steel production BF-BOF + CCUS     Instructions To use the material, please follow these steps: create a new Anaconda environment by importing the environment.yml file unzip all folders; by unzipping, folders will create another inner folder with the same name of the outer folder: be careful to keep all the files contained in each folder at its outer level keep all the content of this repository in the same folder if you don't want to manually change paths throughout the code  run the Database building.py script in case you need to build the baseline model from scratch, starting from the original Exiobase (available in the Database folder, already converted into a MARIO-readable format) run the Scenario analysis.py script to replicate all the scenarios implemented in the above-mentioned paper run the Plots.py to generate .html interactive plots.   What's new In version 0.1.1, the "Database building.py" script was slightly changed to explicitly refer to the cells numbers reported in the supplementary material of the under review paper.