This dataset contains central input assumptions and results related to the publication "Supplying renewable energy to Central European research facilities: A techno-economic comparison of electricity and hydrogen".

Result files are contained in the results.zip archive file. The file contains for each scenario, as indicated by the folder structure, the following files:

results.csv: Central scenario results exported as character separated value (csv) file, with a semicolon (;) as field separator. All fields are quoted using double quotation marks "...". Can be explored using standard office software like Microsoft Excel/Libre Office or other tools.

network.nc: PyPSA network file containing the optimized scenario with all input and unprocessed outputs (results). Can be explored using the PyPSA software package.

lcoes.csv: Levelised Cost of Electricity used to construct the renewable energy source (RES) based supply curve for each scenario.

The dataset further contains the following files which represent central input assumptions to the model and scenarios, both as CSV files:

efficiencies.csv: Technology process and conversion efficiencies including more details on the assumptions and information on which references the assumptions are based.

costs_2030.csv: Technology cost assumptions for 2030 including more details on the assumptions and information on which references the assumptions are based. This data is based on this Technology Data repository on GitHub.

This is the accompanying dataset for the publication "Regional impacts of electricity system transition in Central Europe until 2035".

The dataset contains the following input data files:

• Capacity_Factor_EXPANSE.csv: annual capacity factors per NUTS-3 region and electricity generation technology, used by the EXPANSE model, in MWh/MWh
• Demand_EXPANSE.csv: annual electricity demand per NUTS-3 region, used by the EXPANSE model, in MWh and in TWh
• LCOE_EXPANSE.csv: levelized electricity generation costs per NUTS-3 region and electricity generation technology, used by the EXPANSE model, in EUR/MWh
• Emax_EXPANSE.csv: maximum annual electricity generation potential per NUTS-3 region and electricity generation technology, used by the EXPANSE model, in MWh
• Emin_EXPANSE.csv: minimum annual electricity generation potential per NUTS-3 region and electricity generation technology, used by the EXPANSE model, in MWh
• Costs_PyPSA.csv: Cost assumptions, used by the PyPSA model, units defined in units column

The dataset contains the result data files:

• Aggregated_Impacts.csv: Aggregated impacts for all MGA scenarios and distinct scenarios, units defined in each column
• Regional_Impacts.csv: Regional impacts for all distinct scenarios, units defined in each column