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Teaching Power-Sector Models Social and Political Awareness

Author

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  • Anna Garcia-Teruel

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany
    Current address: Institute for Energy Systems, School of Engineering, The University of Edinburgh, Edinburgh EH9 3BF, UK.
    Current address: Instituto de Hidráulica Ambiental (IH Cantabria), Parque Científico y Tecnológico de Cantabria, 39011 Santander, Spain.)

  • Yvonne Scholz

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany)

  • Wolfgang Weimer-Jehle

    (Center for Interdisciplinary Risk and Innovation Studies (ZIRIUS), University Stuttgart, Seidenstraße 36, 70174 Stuttgart, Germany)

  • Sigrid Prehofer

    (Center for Interdisciplinary Risk and Innovation Studies (ZIRIUS), University Stuttgart, Seidenstraße 36, 70174 Stuttgart, Germany)

  • Karl-Kiên Cao

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany)

  • Frieder Borggrefe

    (German Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany)

Abstract

Energy-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.

Suggested Citation

  • Anna Garcia-Teruel & Yvonne Scholz & Wolfgang Weimer-Jehle & Sigrid Prehofer & Karl-Kiên Cao & Frieder Borggrefe, 2022. "Teaching Power-Sector Models Social and Political Awareness," Energies, MDPI, vol. 15(9), pages 1-24, April.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3275-:d:806092
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    References listed on IDEAS

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