Dataset: Import options for chemical energy carriers from renewable sources to Germany

This dataset contains results and additional data related to the publication "Import options for chemical energy carriers from renewable sources to Germany".

Files containing major results / important cost input data:

results.csv: Contains major model results for all scenarios as CSV file (seperator is ';', all fields are quotes using double quotation marks '"'). Can be explored using standard software like Excel/Libre Office or other tools.

costs.zip: Technology specific input cost assumption for 2030, 2040 and 2050.

The dataset further contains the following archives related to the model structure as contained in the software repository (GitHub):

config.zip: File contents of the config/ folder of the model directory. Configuration files for running the model used by the publication.

data.zip: File contents of the data/ folder of the model directory. Includes distance specifications, conversion efficiencies, details on shipping transport. Also contains (with this version) the cost data (same as in costs.zip).

resources.zip: Some file contents of the resources/ folder of the model directory. Most files in this folder are automatically recreated if the Snakemake workflow is executed. The files in this archive are the files created by GlobalEnergyGIS (RES supply time-series and demand data for investigated regions) which is difficult to setup and are thus provided here as an optional dataset for download.

results.zip: Optimised energy system models (PyPSA networks, for PyPSA version v0.19.3) for all scenarios (default 10% WACC, optimistic 5% WACC, scenarios for sensitivity analysis), energy supply chains (ESCs) and exporting countries. For each network an additional results.csv exists containing a number of key results extracted from each network. Also contains the combined results.csv file as results/results.csv for all scenario runs.