Open Power System Data: Frictionless data for electricity system modelling

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

  • Author: Wiese, Frauke

    Energy Systems Analysis, Sustainability, Department of Technology, Management and Economics, Technical University of Denmark, Produktionstorvet, 2800, Kgs. Lyngby, Denmark

  • Author: Schlecht, Ingmar

    University of Basel

  • Author: Bunke, Wolf Dieter

    University of Flensburg

  • Author: Gerbaulet, Clemens

    Technical University of Berlin

  • Author: Hirth, Lion

    Hertie School of Governance

  • Author: Jahn, Martin

    University of Flensburg

  • Author: Kunz, Friedrich

    German Institute for Economic Research

  • Author: Lorenz, Casimir

    Technical University of Berlin

  • Author: Mühlenpfordt, Jonathan

    Humboldt University of Berlin

  • Author: Reimann, Juliane

    Technical University of Berlin

  • Author: Schill, Wolf Peter

    German Institute for Economic Research

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The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of input data for modelling has the character of a public good: it reduces overall societal costs for quantitative energy research as redundant work is avoided, and it improves transparency and reproducibility in electricity system modelling. This paper describes the Open Power System Data platform that aims at realising the efficiency and quality gains of centralised data provision by collecting, checking, processing, aggregating, documenting and publishing data required by most modellers. We conclude that the platform can provide substantial benefits to energy system analysis by raising efficiency of data pre-processing, providing a method for making data pre-processing for energy system modelling traceable, flexible and reproducible and improving the quality of original data published by data providers.

Original languageEnglish
JournalApplied Energy
Volume236
Pages (from-to)401-409
ISSN0306-2619
DOIs
Publication statusPublished - 15 Feb 2019
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Data package, Data platform, Data transparency, Electricity system modelling, Frictionless data, Open data

ID: 163237568