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Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?

Author

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  • Jan Abrell

    (ETH Zürich, Switzerland)

  • Hannes Weigt

    (University of Basel, Switzerland)

Abstract

Natural gas plays an important role in the future development of electricity markets, as it is the least emission-intensive fossil generation option and additionally provides the needed plant operating flexibility to deal with intermittent renewable generation. As both the electricity and the natural gas market rely on networks, congestion in one market may lead to changes in the other. In addition, investment in one market impacts investment in the other market to the extent that these investments may even become substitutes for each another. The objective of this paper is to develop a dynamic model representation of coupled natural gas and electricity network markets to test the potential interaction with respect to investments. The model is tested under simplified conditions as well as for a stylized European network setting. The results indicate that there is sufficient potential for investment substitution and market interactions that warrant the application of coupled models, especially with regard to simulations of long-term system developments.

Suggested Citation

  • Jan Abrell & Hannes Weigt, 2016. "Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?," CER-ETH Economics working paper series 16/237, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  • Handle: RePEc:eth:wpswif:16-237
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    References listed on IDEAS

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    1. Chaudry, Modassar & Jenkins, Nick & Qadrdan, Meysam & Wu, Jianzhong, 2014. "Combined gas and electricity network expansion planning," Applied Energy, Elsevier, vol. 113(C), pages 1171-1187.
    2. Koeppel, Gaudenz & Andersson, Göran, 2009. "Reliability modeling of multi-carrier energy systems," Energy, Elsevier, vol. 34(3), pages 235-244.
    3. Ana M. Quelhas & Esteban Gil & James D. McCalley, 2006. "Nodal prices in an integrated energy system," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 2(1), pages 50-69.
    4. Egging, Ruud & Holz, Franziska & Gabriel, Steven A., 2010. "The World Gas Model," Energy, Elsevier, vol. 35(10), pages 4016-4029.
    5. Wietze Lise and Benjamin F. Hobbs, 2009. "A Dynamic Simulation of Market Power in the Liberalised European Natural Gas Market," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 119-136.
    6. Jan Abrell & Hannes Weigt, 2012. "Combining Energy Networks," Networks and Spatial Economics, Springer, vol. 12(3), pages 377-401, September.
    7. Andreas Schröder & Friedrich Kunz & Jan Meiss & Roman Mendelevitch & Christian von Hirschhausen, 2013. "Current and Prospective Costs of Electricity Generation until 2050," Data Documentation 68, DIW Berlin, German Institute for Economic Research.
    8. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    9. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    10. Ferris, Michael C. & Munson, Todd S., 2000. "Complementarity problems in GAMS and the PATH solver," Journal of Economic Dynamics and Control, Elsevier, vol. 24(2), pages 165-188, February.
    11. 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.
    12. Yazdani Damavandi, Maziar & Kiaei, Iman & Sheikh-El-Eslami, Mohamad Kazem & Seifi, Hossein, 2011. "New approach to gas network modeling in unit commitment," Energy, Elsevier, vol. 36(10), pages 6243-6250.
    13. Hannes Weigt & Jan Abrell, 2012. "Storage and Investments in a Combined Energy Network Model," EcoMod2012 4319, EcoMod.
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    Cited by:

    1. Raymond Li & Chi-Keung Woo & Asher Tishler & Jay Zarnikau, 2022. "Price Responsiveness of Residential Demand for Natural Gas in the United States," Energies, MDPI, vol. 15(12), pages 1-22, June.
    2. Li, Raymond & Woo, Chi-Keung & Tishler, Asher & Zarnikau, Jay, 2022. "How price responsive is industrial demand for natural gas in the United States?," Utilities Policy, Elsevier, vol. 74(C).
    3. Abrell, Jan & Chavaz, Léo & Weigt, Hannes, 2019. "Dealing with Supply Disruptions on the European Natural Gas Market: Infrastructure Investments or Coordinated Policies?," Working papers 2019/11, Faculty of Business and Economics - University of Basel.
    4. Jan Abrell and Hannes Weigt, 2016. "The Short and Long Term Impact of Europe's Natural Gas Market on Electricity Markets until 2050," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).

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    More about this item

    Keywords

    Electricity network; Natural gas network; Europe; MCP;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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