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Estimation of marginal co2 emission factors in germany 2017

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. TechnicalRemarks: 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.

Cite this as

Lohmann, Kai, Huber, Julian, Weinhardt, Christof (2023). Dataset: Estimation of marginal co2 emission factors in germany 2017. https://doi.org/10.35097/1202

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY-NC-SA 4.0 Attribution-NonCommercial-ShareAlike
Source https://doi.org/10.35097/1202
Author Lohmann, Kai
More Authors
Huber, Julian
Weinhardt, Christof
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2019
Publication Year 2023
Subject Areas
Name: Economics