Automated Author Profile

Düren, Michael

Center for International Development and Environmental Research, Justus-Liebig-University Gießen
0000-0002-6066-4744

Current S-Index

3.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

80.8%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Dataset: Import options for chemical energy carriers from renewable sources to Germany (Version: v1.1)

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.

Authors

  • Hampp, Johannes ;
  • Düren, Michael ;
  • Brown, Tom
0 Citations0 Mentions85% FAIR2.1 Dataset Index
10.5281/zenodo.5055705November 2022

Dataset: Import options for chemical energy carriers from renewable sources to Germany (Version: v1.1)

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.

Authors

  • Hampp, Johannes ;
  • Düren, Michael ;
  • Brown, Tom
1 Citation0 Mentions85% FAIR1.1 Dataset Index
10.5281/zenodo.7293102November 2022

Dataset: Import options for chemical energy carriers from renewable sources to Germany (Version: v1)

This dataset contains results and additional data related to the publication "Import options for chemical energy carriers from renewable sources to Germany". The data contained in the four archives is: 1. costs.zip: Technology specific input cost assumption 2. data.zip: Additional input data related to process and conversion efficiencies as well as shipping transport. 3. resources.zip: Intermediary files containing RES generation profiles (time-series), potentials and synthetic demand projections for the studied regions. 4. results.zip: Optimised energy system models (PyPSA networks, v0.17.1) for all scenarios (default 10% WACC, optimistic 5% WACC, 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. In addition a combined results.csv file exists in each scenario folder (e.g. results/default/results.csv) containing the combined results from all simulations for this scenario.

Authors

  • Hampp, Johannes ;
  • Düren, Michael ;
  • Brown, Tom
0 Citations0 Mentions73% FAIR0.5 Dataset Index
10.5281/zenodo.5055706July 2021