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"Take the long way down": Integration of large-scale North Sea wind using HVDC transmission

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  • Weigt, Hannes
  • Jeske, Till
  • Leuthold, Florian
  • von Hirschhausen, Christian

Abstract

We analyze the impact of extensive wind development in Germany for the year 2015, focusing on grid extensions and price signals. We apply the electricity generation and network model ELMOD to compare zonal, nodal, and uniform pricing approaches. In addition to a reference case of network extensions recommended by the German Energy Agency (Dena), we develop a scenario to transmit wind energy to major load centers in Western and Southern Germany via high-voltage direct current (HVDC) connections. From an economic-engineering standpoint, our results indicate that these connections are the most economic way to manage the integration of large-scale offshore wind resources, and that nodal pricing is most likely to determine the locales for future investment to eliminate congestion. We conclude with a description of the model's potential limitations.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 38 (2010)
Issue (Month): 7 (July)
Pages: 3164-3173

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Handle: RePEc:eee:enepol:v:38:y:2010:i:7:p:3164-3173

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Web page: http://www.elsevier.com/locate/enpol

Related research

Keywords: Wind energy Congestion management HVDC connections;

References

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  1. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
  2. Hogan, William W, 1992. "Contract Networks for Electric Power Transmission," Journal of Regulatory Economics, Springer, vol. 4(3), pages 211-42, September.
  3. Richard Green, 2007. "Nodal pricing of electricity: how much does it cost to get it wrong?," Journal of Regulatory Economics, Springer, vol. 31(2), pages 125-149, April.
  4. Klessmann, Corinna & Nabe, Christian & Burges, Karsten, 2008. "Pros and cons of exposing renewables to electricity market risks--A comparison of the market integration approaches in Germany, Spain, and the UK," Energy Policy, Elsevier, vol. 36(10), pages 3646-3661, October.
  5. Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
  6. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
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Citations

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Cited by:
  1. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
  2. Schröder, Andreas, 2012. "An Electricity Market Model with Generation Capacity Investment under Uncertainty," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62068, Verein für Socialpolitik / German Economic Association.
  3. 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.
  4. Jonas Egerer & Clemens Gerbaulet & Richard Ihlenburg & Friedrich Kunz & Benjamin Reinhard & Christian von Hirschhausen & Alexander Weber & Jens Weibezahn, 2014. "Electricity Sector Data for Policy-Relevant Modeling: Data Documentation and Applications to the German and European Electricity Markets," Data Documentation 72, DIW Berlin, German Institute for Economic Research.
  5. Schaber, Katrin & Steinke, Florian & Hamacher, Thomas, 2012. "Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?," Energy Policy, Elsevier, vol. 43(C), pages 123-135.

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