Garcia-Teruel, AnnaScholz, YvonneWeimer-Jehle, WolfgangPrehofer, SigridCao, Karl-KiênBorggrefe, Frieder2022-12-192022-12-1920221996-10731830545043http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-126033http://elib.uni-stuttgart.de/handle/11682/12603http://dx.doi.org/10.18419/opus-12584Energy-system scenarios are widely used to relate the developments of the energy supply and the resulting carbon-emission pathways to political measures. To enable scenario analyses that adequately capture the variability of renewable-energy resources, a specialised type of power-sector model (PSM) has been developed since the beginning of this century, which uses input data with hourly resolution at the national or subnational levels. These models focus on techno-economic-system optimisation, which needs to be complemented with expert socioeconomic knowledge in order to prevent solutions that may be socially inacceptable or that oppose political goals. A way to integrate such knowledge into energy-system analysis is to use information from framework scenarios with a suitable geographical and technological focus. We propose a novel methodology to link framework scenarios to a PSM by applying complexity-management methods that enable a flexible choice of base scenarios that are tailored to suit different research questions. We explain the methodology, and we illustrate it in a case study that analyses the influence of the socioeconomic development on the European power-system transition until 2050 by linking the power-sector model, REMix (renewable-energy mix), to regional framework scenarios. The suggested approach proves suitable for this purpose, and it enables a clearer link between the impact of political measures and the power-system development.eninfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/621.3article2022-06-21