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Published May 19, 2024 | Version v0.1.1

Exiobase HYBRID extended to model innovative steelmaking routes for EU

  • 1. Politecnico di Milano, Department of Energy

Contributors

  • 1. Politecnico di Milano, Department of Energy

Description

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:

  1. create a new Anaconda environment by importing the environment.yml file
  2. 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
  3. keep all the content of this repository in the same folder if you don't want to manually change paths throughout the code 
  4. 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)
  5. run the Scenario analysis.py script to replicate all the scenarios implemented in the above-mentioned paper
  6. 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. 

Files

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Additional details

Related works

Cites
Dataset: 10.5281/zenodo.10148587 (DOI)
Journal article: 10.5334/jors.473 (DOI)
Is published in
Journal article: 10.1088/1748-9326/ad5bf1 (DOI)
Requires
Software: 10.5281/zenodo.8352061 (DOI)
Dataset: https://ember-climate.org/data-catalogue/yearly-electricity-data/ (URL)

Software

Repository URL
https://github.com/it-is-me-mario/SteelTransition_EU
Programming language
Python
Development Status
Active

References

  • Tahavori, M.A., Golinucci, N., Rinaldi, L., Rocco, M.V. and Colombo, E., 2023. MARIO: A Versatile and User-Friendly Software for Building Input-Output Models. Journal of Open Research Software, 11(1), p.14.DOI: https://doi.org/10.5334/jors.473
  • Rinaldi, L., Ghezzi, D., Colombo, E., Rocco, M.V., 2024, Assessing environmental and market implications of steel decarbonisation strategies: a hybrid input-output model for the European Union, Environmental Research Letters, DOI: https://doi.org/10.1088/1748-9326/ad5bf1