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Open data in power grid modelling : new approaches towards transparent grid models

  • In order to analyse the mid- and long-term impacts of energy related policies, different modelling approaches can be derived. However, the results of even the best energy system model will highly depend on the underlying input data. First, in this contribution the importance and availability issues of grid data in the context of energy system modelling are highlighted. Second, this paper focuses on power grid modelling based on open and publicly available data from OpenStreetMap using open source software tools. Two recent approaches developed to build electrical transmission network models using openly available data sources are presented and discussed. The proposed methods provide transparent assumptions, simplifications and documentationIn order to analyse the mid- and long-term impacts of energy related policies, different modelling approaches can be derived. However, the results of even the best energy system model will highly depend on the underlying input data. First, in this contribution the importance and availability issues of grid data in the context of energy system modelling are highlighted. Second, this paper focuses on power grid modelling based on open and publicly available data from OpenStreetMap using open source software tools. Two recent approaches developed to build electrical transmission network models using openly available data sources are presented and discussed. The proposed methods provide transparent assumptions, simplifications and documentation of grid modelling. This results in the ability of scientists and other stakeholders to validate, discuss or reproduce the results of energy system models. Thus the new open approaches offer a unique opportunity to increase transparency, comparability and reproducibility of results in energy system modelling.show moreshow less

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Metadaten
Document Type:Peer-Reviewed Article
Author:Wided Medjroubi, Ulf Philipp Müller, Malte Scharf, Carsten Matke, David Kleinhans
URN (citable link):https://nbn-resolving.org/urn:nbn:de:bsz:wup4-opus-66635
DOI (citable link):https://doi.org/10.1016/j.egyr.2016.12.001
Year of Publication:2017
Language:English
Source Title (English):Energy reports
Volume:3
First Page:14
Last Page:21
Divisions:Zukünftige Energie- und Industriesysteme
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
OpenAIRE:OpenAIRE
Licence:License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung