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Integrating Social Acceptance of Electricity Grid Expansion into Energy System Modeling: A Methodological Approach for Germany

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Karoline A. Mester

    (IZT)

  • Marion Christ

    (Europa-Universität ZNES Flensburg)

  • Melanie Degel

    (IZT)

  • Wolf-Dieter Bunke

    (Europa-Universität ZNES Flensburg)

Abstract

Present energy system models are mainly based on techno-economical input parameters whereas social or political factors are neglected. This paper presents an approach to include social acceptance in energy system modeling, focusing on electricity transmission grid expansion projects in Germany. Qualitative as well as quantitative research techniques were applied: An analysis to quantify social acceptance was developed and implemented for 19 German districts (Landkreise) and acceptance-based delay assumptions for all German districts were derived. The dimension of social acceptance was integrated through years of delay. On the basis of assumed delays, different electricity grid expansion scenarios could be created. The results show that low delays can only be expected in regard to a few projects in Schleswig-Holstein. Moreover, the findings emphasize the importance of a commitment to grid expansion projects on the part of regional governments.

Suggested Citation

  • Karoline A. Mester & Marion Christ & Melanie Degel & Wolf-Dieter Bunke, 2017. "Integrating Social Acceptance of Electricity Grid Expansion into Energy System Modeling: A Methodological Approach for Germany," Progress in IS, in: Volker Wohlgemuth & Frank Fuchs-Kittowski & Jochen Wittmann (ed.), Advances and New Trends in Environmental Informatics, pages 115-129, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-44711-7_10
    DOI: 10.1007/978-3-319-44711-7_10
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    Cited by:

    1. Malin Lachmann & Jaime Maldonado & Wiebke Bergmann & Francesca Jung & Markus Weber & Christof Büskens, 2020. "Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System," Energies, MDPI, vol. 13(8), pages 1-42, April.
    2. Zappa, William & Junginger, Martin & van den Broek, Machteld, 2019. "Is a 100% renewable European power system feasible by 2050?," Applied Energy, Elsevier, vol. 233, pages 1027-1050.

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