Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-4977-2023
https://doi.org/10.5194/gmd-16-4977-2023
Model description paper
 | 
31 Aug 2023
Model description paper |  | 31 Aug 2023

Bidirectional coupling of the long-term integrated assessment model REgional Model of INvestments and Development (REMIND) v3.0.0 with the hourly power sector model Dispatch and Investment Evaluation Tool with Endogenous Renewables (DIETER) v1.0.2

Chen Chris Gong, Falko Ueckerdt, Robert Pietzcker, Adrian Odenweller, Wolf-Peter Schill, Martin Kittel, and Gunnar Luderer

Viewed

Total article views: 2,377 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,834 482 61 2,377 138 56 64
  • HTML: 1,834
  • PDF: 482
  • XML: 61
  • Total: 2,377
  • Supplement: 138
  • BibTeX: 56
  • EndNote: 64
Views and downloads (calculated since 07 Oct 2022)
Cumulative views and downloads (calculated since 07 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,377 (including HTML, PDF, and XML) Thereof 2,320 with geography defined and 57 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Dec 2024
Download
Short summary
To mitigate climate change, the global economy must drastically reduce its greenhouse gas emissions, for which the power sector plays a key role. Until now, long-term models which simulate this transformation cannot always accurately depict the power sector due to a lack of resolution. Our work bridges this gap by linking a long-term model to an hourly model. The result is an almost full harmonization of the models in generating a power sector mix until 2100 with hourly resolution.