Analysis scripts for paper "COVID-19-induced low power demand and market forces starkly reduce CO2 emissions"
Christoph Bertram, Gunnar Luderer, Felix Creutzig, Nico Bauer, Falko Ueckerdt, Aman Malik and Ottmar Edenhofer; Nature Climate Change (2021) https://www.nature.com/articles/s41558-021-00987-x
- This repository contains all code to generate the figures of the main paper and SI.
- This code comes with a Two-clause BSD licence (BSD-2) which can be found in the file "LICENCE".
- To cite the paper, please use the citation as suggested in the file "CITATION", and to specifically refer to this code, please use the doi referring to the linked zenodo entry (https://doi.org/10.5281/zenodo.4453371).
- In order to run the scripts and replicate the graphs, additional data needs to be copied into the folders ENTSO-E_data and other_data (by default, a reduced set of analysis is performed, not requiring the ENTSO-E data).
- Read-me files in both folders contain specific information on file names and sources.
- All data is publicly available (last retrieval January 05, 2021)
- Please note that download of ENTSO-E data via SFTP requires first registering with transparency.entso-e.eu , and requesting a private key via email, which might take up to a few days
- The code uses the following R packages: tidyverse, data.table, readxl, and zoo
- After completing the necessary preparation, you can execute the code to generate the figures by running
Rscript 01_main.R
from the command line, or by opening an R session and running
source("01_main.R")
- By default, this only runs the reduced set of analysis not requiring the ENTSO-E data. In order to run the full analysis, set
full_analysis <- Tin line 17 of file 01_main.R and execute this file.