Abstract

The transport sector is a crucial bottleneck in the decarbonization challenge. To study the sector’s decarbonization potential in the wider systems perspective, we couple a large-scale integrated assessment model, Regionalized Model of INvestments and Development (REMIND), to a detailed transport model, Energy Demand Generator-Transport (EDGE-T). This approach allows the analysis of mobility futures in the context of long-term and global energy sector transformations, at a high level of modal and technological granularity and internal consistency. The runtime of the coupled system increases by ~ 15–20% compared with a REMIND standalone application, and first convergence tests are promising. To illustrate the capabilities of our modeling approach, we focus on a reference pathway for Europe. Preliminary results indicate that transport service demands grow in the next decades for both passenger and freight transport. Transport system emissions are expected to decrease in the same time range, due to a shift towards electric drivetrains, advanced vehicles, more efficient modes as well as a slight increase in the share of biofuels.

Details

Title
Coupling a Detailed Transport Model to the Integrated Assessment Model REMIND
Author
Rottoli Marianna 1   VIAFID ORCID Logo  ; Dirnaichner Alois 1   VIAFID ORCID Logo  ; Page, Kyle 2   VIAFID ORCID Logo  ; Baumstark Lavinia 1   VIAFID ORCID Logo  ; Pietzcker, Robert 1   VIAFID ORCID Logo  ; Luderer Gunnar 3   VIAFID ORCID Logo 

 PIK-Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031) 
 University Research Court, Joint Global Change Research Institute At Pacific Northwest National Laboratory (JGCRI/PNNL), College Park, USA (GRID:grid.281053.d) (ISNI:0000 0004 0375 9266) 
 PIK-Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031); Technische Universität Berlin, Berlin, Germany (GRID:grid.6734.6) (ISNI:0000 0001 2292 8254) 
Pages
891-909
Publication year
2021
Publication date
Dec 2021
Publisher
Springer Nature B.V.
ISSN
14202026
e-ISSN
1573-2967
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2596177290
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.