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  2. The German Electricity System in 2030: Data on Consumption, Generation, and the Grid (updated version)
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    Datenpaket: The German Electricity System in 2030: Data on Consumption, Generation, and the Grid (updated version)

    Alternativer Identifier:
    (KITopen-DOI) 10.5445/IR/1000125576
    Verwandter Identifier:
    -
    Ersteller/in:
    Scheidt, Frederik vom https://orcid.org/0000-0001-6493-5073 [Scheidt, Frederik vom]

    Müller, Carmen [Müller, Carmen]

    Staudt, Philipp [Staudt, Philipp]

    Weinhardt, Christof [Weinhardt, Christof]
    Beitragende:
    -
    Titel:
    The German Electricity System in 2030: Data on Consumption, Generation, and the Grid (updated version)
    Weitere Titel:
    -
    Beschreibung:
    (Abstract) This publication includes data for the German electricity system in 2030 and a corresponding documentation of the methodology of data acquisition and preprocessing. The data set includes 1.) topological data on the transmission grid, the generation infrastructure and the demand, 2.) a time series of electricity demand in 2030 in an hourly resolution, 3.) a time series of renewable generation in 2030 in an hourly resolution, and 4.) dispatchable generation capacity and costs in 2030. All data is spatially resolved, at the level of 485 nodes.
    (Abstract) This publication includes data for the German electricity system in 2030 and a corresponding documentation of the methodology of data acquisition and preprocessing. The data set includes 1.) topological data on the transmission grid, the generation infrastructure and the demand, 2.) a time series of electricity demand in 2030 in an hourly resolution, 3.) a time series of renewable generation in 2030 in an hourly resolution, and 4.) dispatchable generation capacity and costs in 2030. All data is spatially resolved, at the level of 485 nodes.
    (Technical Remarks) see file "Readme.pdf"
    Schlagworte:
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    Zugehörige Informationen:
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    Sprache:
    -
    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Economics
    Objekttyp:
    Dataset
    Datenquelle:
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    Verwendete Software:
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    Datenverarbeitung:
    -
    Erscheinungsjahr:
    Rechteinhaber/in:

    Müller, Carmen

    Staudt, Philipp

    Weinhardt, Christof
    Förderung:
    -
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-06-21
    Archivgröße:
    1,1 MB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    a31ae7107b4c6e67d88ecf0284309914 (MD5)
    Embargo-Zeitraum:
    -