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Estimation of Marginal CO2 Emission Factors in Germany 2017

Lohmann, Kai; Huber, Julian; Weinhardt, Christof

Abstract (englisch):
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.

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Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und -management (IISM)
Publikationstyp Forschungsdaten/Bilder
Jahr 2019
Erstellungszeitraum 10.12.2019
Identifikator DOI (KIT): 10.5445/IR/1000100740
KITopen-ID: 1000100740
Lizenz CC BY-NC-SA 4.0: Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International
Liesmich

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.

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