Alternate identifier:
(KITopen-DOI) 10.5445/IR/1000100740
Related identifier:
-
Creator/Author:
Lohmann, Kai [Lohmann, Kai]

Huber, Julian [Huber, Julian]

Weinhardt, Christof [Weinhardt, Christof]
Contributors:
-
Title:
Estimation of Marginal CO2 Emission Factors in Germany 2017
Additional titles:
-
Description:
(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.
Keywords:
-
Related information:
-
Language:
-
Production year:
Subject areas:
Economics
Resource type:
Dataset
Data source:
-
Software used:
-
Data processing:
-
Publication year:
Rights holders:
Lohmann, Kai

Huber, Julian

Weinhardt, Christof
Funding:
-
Name Storage Metadata Upload Action

Number of views in the previous six months.

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306


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5


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Period Landing page accessed Dataset downloaded
May 2024 93 1
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Jan 2024 20 1
Dec 2023 16 2
Before 83 14
Total 389 19
Status:
Published
Uploaded by:
kitopen
Created on:
Archiving date:
2023-06-21
Archive size:
661.4 MB
Archive creator:
kitopen
Archive checksum:
11991ee8212d013c762d38026afe7937 (MD5)
Embargo end date:
-