Scripts to process and visualize data for the Global Transmission Database. The Global Transmission Database consists of comprehensive data regarding cross-border transmission capacities globally collated from public sources. The dataset is oriented towards representing entry level capacity data (MW) that can be used in energy system models and other computational tools. Transmission capacities are provided at a country-to-country basis in addition to regional level data for a sample of larger countries (Australia, Brazil, Canada, China, India, Indonesia, Japan, Philippines, Russian Federation, Thailand, United States, Vietnam). Capacities are provided for land-based transmission pathways as well as for subsea pathways. The beta release (0.1) of the database only includes existing transmission capacities as of 2023 with future versions also including planned capacities.

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• Clone this repository:

git clone https://github.com/Electricity-Transmission-Database/electricity-transmission-database.git

• Create a conda environment:

conda create -n global_transmission_database python=3.11

• Activate the environment:

conda activate global_transmission_database

• Run the setup.py from within the directory:

pip install .

That's it! You are now ready to make plots. See example notebooks here.

@dataset{brinkerink_2023_10063446,
  author       = {Brinkerink, Maarten and Sherman, Gordon and Osei-Owusu, Simone and Mohanty, Reema and Majid, Aman and Barnes, Trevor and
                  Niet, Taco and Shivakumar, Abhishek and Mayfield, Erin},
  title        = {Global Transmission Database},
  month        = November,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {0.1},
  doi          = {10.5281/zenodo.10063446},
  url          = {https://doi.org/10.5281/zenodo.10063446}
}

This repository was created and is maintained by Aman Majid and Trevor Barnes.

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• Add environment file
• Setup data loader
• Make figures in notebooks
  • Included/excluded regions
  • Existing and planned transmission lines
  • Network topology showing interregional connections
  • Regional snapshots of lines
    1. North America
    2. Central America
    3. Latin America
    4. Europe
    5. MENA
    6. Sub-Saharan Africa
    7. Central Asia
    8. Eastern Asia
    9. Southeast Asia
    10. Oceania
  • Statistical features of lines
• Include Zenodo link here

• map_excluded_regions plot is very large due to highly resolved spatial boundaries. We can use default plotly presets instead.