Exiobase HYBRID | Green steel version

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 is an improved version of the one described in the following open-access paper (DOI: https://doi.org/10.1088/1748-9326/ad5bf1) and is used in other 2 articles, currently being peer reviewed. Novelties with respect to EXIOBASE hybrid version 2011 The new technologies have been characterized for all regions, assuming each inventory to be the same in all regions but differentiated by regional import patterns of each commodity. A slight aggregation on electricity production activities and commodities have been also performed, to nowcast electricity production mixes to 2024 based on Ember data. Data from Ember have been rearranged to calculate electricity mixes by year and Exiobase regions The list of steel production technologies have been extended. Full list in the table below 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 DRI-EAF-NG DRI-EAF-NG-CCS DRI-EAF-COAL DRI-EAF-COAL-CCS DRI-EAF-H2 DRI-EAF-BECCS DRI-SAF-BOF-NG DRI-SAF-BOF-H2 DRI-SAF-BOF-BECCS SR-BOF SR-BOF-CCS BF-BOF-CCS-73% BF-BOF-CCS-86% BF-BOF-BECCSmax BF-BOF-BECCSmin AEL-EAF MOE Extended documentation of database adjustment and extension methodology available among the files in this repository. Whats' new in v1.3.2 The "Database analysis | Domestic share of activities' carbon footprints" zip file was added. This folder contain the result of an analysis requested during peer-review, to justify the use of this database despite the representation of trades is outdated. The analysis show how top 95% of GHG emissions accounted in the database are produced by domestic supply chains. Instructions To use the database, please install MARIO following the instructions. The database can be parsed by using the following command db = mario.parse_from_txt( path='PATH/TO/THE/FOLDER/WHERE/DATA/FROM/THIS/REPOSITORY/ARE/STORED', mode='coefficients', table='SUT', )