Alternativer Identifier:
(KITopen-DOI) 10.5445/IR/1000100740
Verwandter Identifier:
-
Ersteller/in:
Lohmann, Kai [Lohmann, Kai]

Huber, Julian [Huber, Julian]

Weinhardt, Christof [Weinhardt, Christof]
Beitragende:
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Titel:
Estimation of Marginal CO2 Emission Factors in Germany 2017
Weitere Titel:
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Beschreibung:
(Abstract) This data set covers total load, hourly generation and electric efficiency of power plants >100MW in Germany 2017. Based on this data, the four jupyter-notebooks derive average carbon dioxide emissions factors for each hour and marginal emission factors for twenty load levels. The third script contains a case study for scheduling battery electric vehicles based on short-term forecasts of marginal emission factors.
(Technical Remarks) This data set covers total load, hourly generation and electric efficiency of power plants >100MW in Germany 2017. Based on this data, the four jupyter-notebooks derive average carbon dioxide emissions factors for each hour and marginal emission factors for twenty load levels. The third script contains a case study for scheduling battery electric vehicles based on short-term forecasts of marginal emission factors.
Schlagworte:
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Zugehörige Informationen:
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Sprache:
-
Erstellungsjahr:
Fachgebiet:
Economics
Objekttyp:
Dataset
Datenquelle:
-
Verwendete Software:
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Datenverarbeitung:
-
Erscheinungsjahr:
Rechteinhaber/in:
Lohmann, Kai

Huber, Julian

Weinhardt, Christof
Förderung:
-
Name Speichervolumen Metadaten Upload Aktion
Status:
Publiziert
Eingestellt von:
kitopen
Erstellt am:
Archivierungsdatum:
2023-06-21
Archivgröße:
661,4 MB
Archiversteller:
kitopen
Archiv-Prüfsumme:
11991ee8212d013c762d38026afe7937 (MD5)
Embargo-Zeitraum:
-