Published February 9, 2023 | Version v1

Supplying renewable energy to Central European research facilities: A techno-economic comparison of electricity and hydrogen (Dataset)

Authors/Creators

  • 1. Center for International Development and Environmental Research, Justus Liebig University Giessen

Description

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.

Files

costs_2030.csv

Files (1.4 GB)

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