Title |
A multi-model framework to assess the role of R&D towards a decarbonized energy system |
ID_Doc |
32798 |
Authors |
Nogueira, L; Dalla Longa, F; Reis, LA; Drouet, L; Vrontisi, Z; Fragkiadakis, K; Panos, E; van der Zwaan, B |
Title |
A multi-model framework to assess the role of R&D towards a decarbonized energy system |
Year |
2023 |
Published |
Climatic Change, 176, 7 |
DOI |
10.1007/s10584-023-03553-w |
Abstract |
Research and development (R & D) investments foster green innovation, which is key to decarbonize the energy system and attain long-term climate goals. In this paper, we link three integrated assessment models that possess a macroeconomic framework-WITCH, MERGE-ETL, and GEM-E3-with the bottom-up technology-rich energy system model TIAM-ECN, in order to quantitatively explore how investments in R & D can support deep decarbonization pathways. We take advantage of the endogenous technological learning feature of the first three models to derive R & D-induced capital cost reductions for strategic clusters of low-carbon technologies: solar energy, on- and offshore wind energy, carbon capture and storage, advanced fuels, and batteries for electric vehicles. We examine scenarios with different assumptions on CO2 mitigation and R & D policy. These assumptions are harmonized among our four models, and capital cost reductions driven by R & D are exogenously incorporated in TIAM-ECN, which enables a detailed assessment of the required energy transition. Our results show that the stringency of climate change mitigation policy remains the key factor influencing the diffusion of low-carbon technologies, while R & D can support mitigation goals and influence the contribution of different types of technologies. If implemented effectively and without worldwide barriers to knowledge spill-overs, R & D facilitates the deployment of mature technologies such as solar, wind, and electric vehicles, and enables lower overall energy system costs. |
Author Keywords |
R & D; IAM; Climate change mitigation; Energy transition; Decarbonization |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:001012040100001 |
WoS Category |
Environmental Sciences; Meteorology & Atmospheric Sciences |
Research Area |
Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences |
PDF |
https://www.researchsquare.com/article/rs-1451109/latest.pdf
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