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The integration of renewable energies into the German transmission grid—A scenario comparison

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  • Schroeder, Andreas
  • Oei, Pao-Yu
  • Sander, Aram
  • Hankel, Lisa
  • Laurisch, Lilian Charlotte

Abstract

This article presents a quantitative assessment of the need for electricity transmission capacity investments in Germany for 2030. Congestion is analyzed and its possible relief through appropriate grid reinforcements as those described in the Ten Year Network Development Plan (TYNDP) of the European Commission. Congestion is investigated in three scenarios which differ in the location of power resources and the line expansion projects accomplished. Results show that the TYNDP and overlay line projects proposed in 2011 are not sufficient measures to cope with the increasing demand for transmission capacity. The paper also concludes that if power generation resources are moved closer to demand centers grid bottlenecks can be partly relieved by 2030. The introduction of a high-voltage direct current (HVDC) backbone grid does not relieve congestion significantly.

Suggested Citation

  • Schroeder, Andreas & Oei, Pao-Yu & Sander, Aram & Hankel, Lisa & Laurisch, Lilian Charlotte, 2013. "The integration of renewable energies into the German transmission grid—A scenario comparison," Energy Policy, Elsevier, vol. 61(C), pages 140-150.
    • Handle: RePEc:eee:enepol:v:61:y:2013:i:c:p:140-150
    DOI: 10.1016/j.enpol.2013.06.006
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    5. Faddy Ardian & Silvia Concettini & Anna Creti, 2015. "Intermittent renewable generation and network congestion: an empirical analysis of Italian Power Market," Working Papers hal-01218543, HAL.
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    7. Zenón, Eric & Rosellón, Juan, 2017. "Optimal transmission planning under the Mexican new electricity market," Energy Policy, Elsevier, vol. 104(C), pages 349-360.
    8. Hansen, Kenneth & Mathiesen, Brian Vad & Skov, Iva Ridjan, 2019. "Full energy system transition towards 100% renewable energy in Germany in 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 1-13.
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    10. Craig, Christopher A. & Allen, Myria W., 2014. "Enhanced understanding of energy ratepayers: Factors influencing perceptions of government energy efficiency subsidies and utility alternative energy use," Energy Policy, Elsevier, vol. 66(C), pages 224-233.
    11. Heard, B.P. & Brook, B.W. & Wigley, T.M.L. & Bradshaw, C.J.A., 2017. "Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1122-1133.
    12. Karel Janda & Jan Malek & Lukas Recka, 2017. "The Influence of Renewable Energy Sources on the Czech Electricity Transmission System," Working Papers IES 2017/06, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2017.
    13. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
    14. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
    15. Harjanne, Atte & Korhonen, Janne M., 2019. "Abandoning the concept of renewable energy," Energy Policy, Elsevier, vol. 127(C), pages 330-340.
    16. Jonas Egerer, 2016. "Open Source Electricity Model for Germany (ELMOD-DE)," Data Documentation 83, DIW Berlin, German Institute for Economic Research.
    17. Navon, Aviad & Kulbekov, Pavel & Dolev, Shahar & Yehuda, Gil & Levron, Yoash, 2020. "Integration of distributed renewable energy sources in Israel: Transmission congestion challenges and policy recommendations," Energy Policy, Elsevier, vol. 140(C).
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