Dorothea Schmid

Mrs. Dorothea Schmid

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2019 in Energy Strategy Reviews
Verified
Journal Article
Open access
DSDorothea Schmid
Dorothea Schmid
PKPinar Korkmaz
Pinar Korkmaz
MBMarkus Blesl
Markus Blesl
UFUlrich Fahl
Ulrich Fahl
RFRainer Friedrich
Rainer Friedrich

31 July 2022 in Energy
Verified
Journal Article
Open access
FGFrancesco Gardumi
Francesco Gardumi
IKI. Keppo
I. Keppo
MHM. Howells
M. Howells
SPS. Pye
S. Pye
GAG. Avgerinopoulos
G. Avgerinopoulos
MMM. Mikulić
M. Mikulić

6 February 2020 in Energies
Verified
Journal Article
Open access
PDF file
PKPINAR KORKMAZ
PINAR KORKMAZ
RMRoland Cunha Montenegro
Roland Cunha Montenegro
DSDorothea Schmid
Dorothea Schmid
MBMarkus Blesl
Markus Blesl
UFUlrich Fahl
Ulrich Fahl
The required decarbonization of the energy system is a complex task, with ambitious targets under the Paris Agreement, and related policy analysis should consider possible impacts on the economy and society. By coupling the energy system model TIMES PanEU with the impact assessment model EcoSense and the computable general equilibrium model NEWAGE, we present an integrated assessment toolbox for the European energy system capable of internalizing health damage costs of air pollution while simultaneously accounting for demand changes in energy services caused by economic feedback loops. The effects of each coupling step are investigated in a scenario analysis. Additionally, CO2 decomposition analysis is applied to identify the main drivers to decarbonize the energy system. Our results show that integrating externalities forces the system to take early action, which provides benefits on the societal level. Including macro-economic variables has a negative effect on energy service demands and generally reduces the need for structural change, which are still the main drivers of decarbonization. The tighter the models are coupled, the fewer the iterations needed and the lower the CO2 prices resulting from the carbon cap and trade system. In this aspect, an integrated view can provide valuable insights to determine efficient and effective decarbonization paths.