Modelling the high-voltage grid using open data for Europe and beyond

This paper provides the background, methodology and validation for constructing a representation of the European high-voltage grid (AC lines from 220 to 750 kV and all DC lines) based on OpenStreetMap data. Grid components include commissioned substations, transmission lines and cables, transformers, and converters as well as technical parameters based on standard types. The data is provided as easy-to-access comma-separated values files which makes it suitable for model-independent, large-scale electricity and energy system modelling. For further ease-of-use, an interactive map is included to enable visual inspection. To assess the data quality, this paper compares the dataset with official statistics and representative model runs using PyPSA-Eur based on different electricity grid representations. The dataset and workflow are provided as part of PyPSA-Eur, an open-source, sector-coupled optimisation model of the European energy system. By integrating with the codebase for initiatives such as PyPSA-Earth, the benefits of this work of this work extend to the global context. The dataset is published under the Open Data Commons Open Database (ODbL 1.0) licence.

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Publication Details

Journal
Scientific Data
Published
2025-02-16
DOI
https://doi.org/10.1038/s41597-025-04550-7
Citations
7
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
5.11
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article

Modelling the high-voltage grid using open data for Europe and beyond

Davide Fioriti, Bobby Xiong, Iegor Riepin, Tom Brown et al.
7 citations
Scientific Data
Power Systems and Technologies
5.11
article

Modelling the high-voltage grid using open data for Europe and beyond

Davide Fioriti, Bobby Xiong, Iegor Riepin, Tom Brown, Fabian Neumann
article en
7 citations

Abstract

This paper provides the background, methodology and validation for constructing a representation of the European high-voltage grid (AC lines from 220 to 750 kV and all DC lines) based on OpenStreetMap data. Grid components include commissioned substations, transmission lines and cables, transformers, and converters as well as technical parameters based on standard types. The data is provided as easy-to-access comma-separated values files which makes it suitable for model-independent, large-scale electricity and energy system modelling. For further ease-of-use, an interactive map is included to enable visual inspection. To assess the data quality, this paper compares the dataset with official statistics and representative model runs using PyPSA-Eur based on different electricity grid representations. The dataset and workflow are provided as part of PyPSA-Eur, an open-source, sector-coupled optimisation model of the European energy system. By integrating with the codebase for initiatives such as PyPSA-Earth, the benefits of this work of this work extend to the global context. The dataset is published under the Open Data Commons Open Database (ODbL 1.0) licence.

Scientific DataVol. 12(1)
University of Pisa (IT), Technische Universität Berlin (DE)
Affordable and clean energy
Openalex Percentile: Top 5%
Power Systems and Technologies
5.11
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