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European Electricity Grid Infrastructure Expansion in a 2050 Context

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  • Jonas Egerer
  • Clemens Gerbaulet
  • Casimir Lorenz

Abstract

The European climate targets until 2050 require an adaptation of the generation portfolio in terms of renewable and fossil based generation. Assumptions on the timeline of the targets and the availability and costs of generation technologies are used in energy system models to optimize the cost minimal system transformation. The results include investments in generation technologies and their national allocation. Yet, the models are limited to the national aggregation and lack the spatial resolution required to represent individual network investments and related costs. In this paper, we analyze the impact the results of an energy system model have on demand for network expansion in the European power grid in a line-sharp representation. A cost minimizing mixed-integer problem (MIP) model calculates where in the European electricity grid expansion needs to take place for different time steps (2020/30/40/50) in order to obtain minimal total costs for power plant dispatch and grid expansion. Scenarios based on the generation infrastructure options from the PRIMES EU-wide energy model scenarios invoke different expansion needs and are compared. The model allows investments in the AC network and an overlay DC grid. Resulting investment costs are compared to the numbers of the European Energy Roadmap 2050.

Suggested Citation

  • Jonas Egerer & Clemens Gerbaulet & Casimir Lorenz, 2013. "European Electricity Grid Infrastructure Expansion in a 2050 Context," Discussion Papers of DIW Berlin 1299, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1299
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    References listed on IDEAS

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    1. Juan Rosellón & Hannes Weigt, 2011. "A Dynamic Incentive Mechanism for Transmission Expansion in Electricity Networks: Theory, Modeling, and Application," The Energy Journal, , vol. 32(1), pages 119-148, January.
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    Citations

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    Cited by:

    1. Schreiner, Lena & Madlener, Reinhard, 2022. "Investing in power grid infrastructure as a flexibility option: A DSGE assessment for Germany," Energy Economics, Elsevier, vol. 107(C).
    2. Franziska Holz & Christian Von Hirschhausen, 2013. "The Infrastructure Implications Of The Energy Transformation In Europe Until 2050 — Lessons From The Emf28 Modeling Exercise," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(supp0), pages 1-26.
    3. Frysztacki, Martha Maria & Hörsch, Jonas & Hagenmeyer, Veit & Brown, Tom, 2021. "The strong effect of network resolution on electricity system models with high shares of wind and solar," Applied Energy, Elsevier, vol. 291(C).
    4. Christian von Hirschhausen, 2014. "The German Energiewend - An Introduction," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    5. repec:diw:diwwpp:dp1380 is not listed on IDEAS
    6. Janda, Karel & Málek, Jan & Rečka, Lukáš, 2017. "Influence of renewable energy sources on transmission networks in Central Europe," Energy Policy, Elsevier, vol. 108(C), pages 524-537.
    7. repec:diw:diwwpp:dp1379 is not listed on IDEAS
    8. Alexander Zerrahn & Daniel Huppmann, 2014. "Network Expansion to Mitigate Market Power: How Increased Integration Fosters Welfare," Discussion Papers of DIW Berlin 1380, DIW Berlin, German Institute for Economic Research.
    9. Jan Abrell & Clemens Gerbaulet & Franziska Holz & Casimir Lorenz & Hannes Weigt, 2013. "Combining Energy Networks: The Impact of Europe's Natural Gas Network on Electricity Markets until 2050," Discussion Papers of DIW Berlin 1317, DIW Berlin, German Institute for Economic Research.
    10. Schlachtberger, D.P. & Brown, T. & Schramm, S. & Greiner, M., 2017. "The benefits of cooperation in a highly renewable European electricity network," Energy, Elsevier, vol. 134(C), pages 469-481.
    11. Creutzig, Felix & Goldschmidt, Jan Christoph & Lehmann, Paul & Schmid, Eva & von Blücher, Felix & Breyer, Christian & Fernandez, Blanca & Jakob, Michael & Knopf, Brigitte & Lohrey, Steffen & Susca, Ti, 2014. "Catching two European birds with one renewable stone: Mitigating climate change and Eurozone crisis by an energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1015-1028.
    12. Huppmann, Daniel & Egerer, Jonas, 2015. "National-strategic investment in European power transmission capacity," European Journal of Operational Research, Elsevier, vol. 247(1), pages 191-203.

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    More about this item

    Keywords

    Electricity; European Transmission Network; Investment Model;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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