Data Repository - From net-zero to zero-fossil in transforming the EU energy system

This is the data repository to reproduce the analysis of the manuscript "From net-zero to zero-fossil in transforming the EU energy system", which is currently under review for publication in a scientific journal. 

The source code for the REMIND version used in this study is available at https://github.com/fschreyer/remind/tree/FossilFree_master. The scenario config file that was used to start the specific model runs of the analysis including all scenario-specific model settings can be found in the repository under ./config/scenario_config_fossilfree.csv. The repository is a fork with slight changes relative to the main release version available at https://github.com/remindmodel/remind/tree/v3.3.1 and https://zenodo.org/records/12104410. A general model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. 

The data repository contains the following files:

data

• FossilFree_Plot.Rmd - R markdown file used for the analysis.
• AllScenarioData.mif - Data file containing REMIND scenario output data used for the analysis.
• MainFigures.xlsx - Data file containing all data plotted in main figures of the text.
• SIFigures.xlsx - Data file containing all data plotted in extended data figures and supplementary figures of the text.
• data folder: containing data and mapping files used for the FossilFree_Plot.Rmd script
• scripts folder: containing additional scripts and functions used in the FossilFree_Plot.Rmd script

Note that we cannot provide the AR6 scenario data here. Please refer to https://zenodo.org/records/7197970. 

Disclaimer: We here publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. 

Contact:
Felix Schreyer
Potsdam Institute for Climate Impact Research
felix.schreyer@pik-potsdam.de