Bobby Xiong, Davide Fioriti, Fabian Neumann, Iegor Riepin, Tom Brown
{"title":"Modelling the High-Voltage Grid Using Open Data for Europe and Beyond","authors":"Bobby Xiong, Davide Fioriti, Fabian Neumann, Iegor Riepin, Tom Brown","doi":"arxiv-2408.17178","DOIUrl":null,"url":null,"abstract":"This paper provides the background, methodology and validation for\nconstructing a representation of the European high-voltage grid, including and\nabove 200 kV, based on public data provided by OpenStreetMap. The\nmodel-independent grid dataset is published under the Open Data Commons Open\nDatabase (ODbL 1.0) licence and can be used for large-scale electricity as well\nas energy system modelling. The dataset and workflow are provided as part of\nPyPSA-Eur -- an open-source, sector-coupled optimisation model of the European\nenergy system. By integrating with the codebase for initiatives such as\nPyPSA-Earth, the value of open and maintainable high-voltage grid data extends\nto the global context. By accessing the latest data through the the Overpass\nturbo API, the dataset can be easily reconstructed and updated within minutes.\nTo assess the data quality, this paper further compares the dataset with\nofficial statistics and representative model runs using PyPSA-Eur based on\ndifferent electricity grid representations.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.17178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper provides the background, methodology and validation for
constructing a representation of the European high-voltage grid, including and
above 200 kV, based on public data provided by OpenStreetMap. The
model-independent grid dataset is published under the Open Data Commons Open
Database (ODbL 1.0) licence and can be used for large-scale electricity as well
as energy system modelling. 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 value of open and maintainable high-voltage grid data extends
to the global context. By accessing the latest data through the the Overpass
turbo API, the dataset can be easily reconstructed and updated within minutes.
To assess the data quality, this paper further compares the dataset with
official statistics and representative model runs using PyPSA-Eur based on
different electricity grid representations.