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 November 28, 2024
License CC BY-NC-SA 4.0 Attribution-NonCommercial-ShareAlike
Source https://doi.org/10.35097/1202
Author Lohmann, Kai
Given Name Kai
Family Name Lohmann
More Authors
Huber, Julian
Weinhardt, Christof
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2019
Publication Year 2023
Subject Areas
Name: Economics