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Modelling the high-voltage grid using open data for Europe and beyond
Bobby Xiong1, Davide Fioriti2, Fabian Neumann3
1Department of Digital Transformation in Energy Systems, Institute of Energy Engineering, Technische Universität Berlin, Berlin, Germany. xiong@tu-berlin.de.
Scientific Data
|February 16, 2025
Summary
A new dataset represents the European high-voltage grid using OpenStreetMap data, suitable for energy system modeling. This open-source grid data enhances electricity system research and planning.
Area of Science:
- Energy Systems Engineering
- Geographic Information Systems
- Computational Social Science
Background:
- Existing electricity grid representations often lack detail or are not readily accessible for large-scale modeling.
- OpenStreetMap (OSM) data offers a potential source for comprehensive infrastructure mapping.
- Accurate grid data is crucial for understanding and optimizing energy systems.
Purpose of the Study:
- To construct and validate a detailed, open-access dataset of the European high-voltage electricity grid.
- To provide data suitable for model-independent, large-scale energy system analysis.
- To integrate this dataset into the open-source PyPSA-Eur energy system model.
Main Methods:
- Extraction and processing of European high-voltage AC (220-750 kV) and DC transmission lines from OpenStreetMap data.
- Inclusion of grid components such as substations, lines, cables, transformers, and converters with standard technical parameters.
- Validation of the dataset against official statistics and through comparative model runs using PyPSA-Eur.
Main Results:
- A comprehensive dataset of the European high-voltage grid, including technical parameters, is now available.
- The dataset is provided in accessible CSV format and includes an interactive map for visual inspection.
- Validation confirms the dataset's quality and suitability for energy system modeling.
Conclusions:
- The developed European high-voltage grid dataset, based on OpenStreetMap, is a valuable, open-access resource for energy system research.
- Integration with PyPSA-Eur and potential extension to PyPSA-Earth facilitates global energy system modeling.
- The dataset's open license (ODbL 1.0) promotes transparency and collaborative research in the energy sector.
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