Result data related to Tröndle et al (2024): Rebuilding Ukraine's energy supply in a secure, economic, and decarbonised way

This dataset contains the result data of all the scenarios ran in the scientific article "Rebuilding Ukraine’s energy supply in a secure, economic, and decarbonised way".

The results of the main five scenarios of the study are available as PyPSA result files:

nuclear-and-renewables-high.nc: A scenario with nuclear in the mix and high economic growth assumption.

nuclear-and-renewables-low.nc: A scenario with nuclear in the mix and low economic growth assumption.

only-renewables-high-low-bio.nc: A scenario with only renewables, high economic growth assumption, and only 10% of assumed biomass potential.

only-renewables-high.nc: A scenario with only renewables and high economic growth assumption.

only-renewables-low.nc: A scenario with only renewables and low economic growth assumption.

See the PyPSA documentation for more information: https://pypsa.readthedocs.io.

The results of the 330 global sensitivity analysis runs are available as summary files in CSV format:

gsa-capacities-energy-gwh.csv: The installed energy storage capacities for each scenario.

gsa-capacities-power-gw.csv: The installed generation capacities for each scenario.

gsa-lcoe.csv: The levelised cost of electricity for each scenario.