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Combining Energy Networks

Author

Listed:
  • Jan Abrell

    (ETH Zürich, Switzerland)

  • Hannes Weigt

    (University of Basel, Switzerland)

Abstract

Electricity markets depend on upstream energy markets to supply the fuels needed for generation. Since these markets rely on networks, congestion in one can quickly produce changes in another. In this paper we develop a combined partial equilibrium market model which includes the interactions of natural gas and electricity networks. We apply the model to a stylized representation of Europe’s electricity and natural gas markets to illustrate the upstream and downstream feedback effects which are not obvious on first sight. We find that both congestion and loop-flow effects in electricity markets impact prices and quantities in markets located far from the initial cause of the market changes.

Suggested Citation

  • Jan Abrell & Hannes Weigt, 2016. "Combining Energy Networks," CER-ETH Economics working paper series 16/238, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  • Handle: RePEc:eth:wpswif:16-238
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    References listed on IDEAS

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    1. Neumann, Anne & Viehrig, Norman & Weigt, Hannes, 2009. "InTraGas - A Stylized Model of the European Natural Gas Network," MPRA Paper 65652, University Library of Munich, Germany.
    2. O'Neill, Richard P. & Sotkiewicz, Paul M. & Hobbs, Benjamin F. & Rothkopf, Michael H. & Stewart, William R., 2005. "Efficient market-clearing prices in markets with nonconvexities," European Journal of Operational Research, Elsevier, vol. 164(1), pages 269-285, July.
    3. Gabriel, Steven A. & Zhuang, Jifang & Kiet, Supat, 2005. "A large-scale linear complementarity model of the North American natural gas market," Energy Economics, Elsevier, vol. 27(4), pages 639-665, July.
    4. Egging, Ruud & Gabriel, Steven A. & Holz, Franziska & Zhuang, Jifang, 2008. "A complementarity model for the European natural gas market," Energy Policy, Elsevier, vol. 36(7), pages 2385-2414, July.
    5. Rutherford, Thomas F., 1995. "Extension of GAMS for complementarity problems arising in applied economic analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 19(8), pages 1299-1324, November.
    6. Möst, Dominik & Perlwitz, Holger, 2009. "Prospects of gas supply until 2020 in Europe and its relevance for the power sector in the context of emission trading," Energy, Elsevier, vol. 34(10), pages 1510-1522.
    7. Perner, J. & Seeliger, A., 2004. "Prospects of gas supplies to the European market until 2030--results from the simulation model EUGAS," Utilities Policy, Elsevier, vol. 12(4), pages 291-302, December.
    8. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "ELMOD - A Model of the European Electricity Market," MPRA Paper 65660, University Library of Munich, Germany.
    9. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    10. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
    11. Neuhoff, Karsten & Barquin, Julian & Boots, Maroeska G. & Ehrenmann, Andreas & Hobbs, Benjamin F. & Rijkers, Fieke A.M. & Vazquez, Miguel, 2005. "Network-constrained Cournot models of liberalized electricity markets: the devil is in the details," Energy Economics, Elsevier, vol. 27(3), pages 495-525, May.
    12. SMEERS, Yves, 1997. "Computable equilibrium models and the restructuring of the European electricity and gas markets," LIDAM Discussion Papers CORE 1997061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Grubler, Arnulf & Messner, Sabine, 1998. "Technological change and the timing of mitigation measures," Energy Economics, Elsevier, vol. 20(5-6), pages 495-512, December.
    14. Yves Smeers, 1997. "Computable Equilibrium Models and the Restructuring of the European Electricity and Gas Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-31.
    15. 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.
    16. Lars Mathiesen, 1985. "Computational Experience in Solving Equilibrium Models by a Sequence of Linear Complementarity Problems," Operations Research, INFORMS, vol. 33(6), pages 1225-1250, December.
    17. Smeers, Y., 1997. "Computable equilibrium models and the restructuring of the European electricity and gas markets," LIDAM Reprints CORE 1280, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. 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.
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    Cited by:

    1. Avraam, Charalampos & Bistline, John E.T. & Brown, Maxwell & Vaillancourt, Kathleen & Siddiqui, Sauleh, 2021. "North American natural gas market and infrastructure developments under different mechanisms of renewable policy coordination," Energy Policy, Elsevier, vol. 148(PB).
    2. Zahedi Rad, Vahid & Torabi, S. Ali & Shakouri G., Hamed, 2019. "Joint electricity generation and transmission expansion planning under integrated gas and power system," Energy, Elsevier, vol. 167(C), pages 523-537.
    3. Helga Habis & Dávid Csercsik, 2015. "Cooperation with Externalities and Uncertainty," Networks and Spatial Economics, Springer, vol. 15(1), pages 1-16, March.
    4. 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.
    5. Ibrahim Abada & Steven Gabriel & Vincent Briat & Olivier Massol, 2013. "A Generalized Nash–Cournot Model for the Northwestern European Natural Gas Markets with a Fuel Substitution Demand Function: The GaMMES Model," Networks and Spatial Economics, Springer, vol. 13(1), pages 1-42, March.
    6. Jan Abrell & Friedrich Kunz, 2015. "Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market," Networks and Spatial Economics, Springer, vol. 15(1), pages 117-147, March.
    7. 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.
    8. Zhaomiao Guo & Yueyue Fan, 2017. "A Stochastic Multi-agent Optimization Model for Energy Infrastructure Planning under Uncertainty in An Oligopolistic Market," Networks and Spatial Economics, Springer, vol. 17(2), pages 581-609, June.
    9. Egging-Bratseth, Ruud & Baltensperger, Tobias & Tomasgard, Asgeir, 2020. "Solving oligopolistic equilibrium problems with convex optimization," European Journal of Operational Research, Elsevier, vol. 284(1), pages 44-52.
    10. Jan Abrell & Hannes Weigt, 2016. "Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?," The Energy Journal, , vol. 37(4), pages 63-86, October.
    11. Mel Devine & James Gleeson & John Kinsella & David Ramsey, 2014. "A Rolling Optimisation Model of the UK Natural Gas Market," Networks and Spatial Economics, Springer, vol. 14(2), pages 209-244, June.
    12. E. Allevi & A. Gnudi & I. V. Konnov & G. Oggioni, 2022. "Dynamic Spatial Equilibrium Models: an Application to the Natural Gas Spot Markets," Networks and Spatial Economics, Springer, vol. 22(2), pages 205-241, June.
    13. 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).
    14. Egerer, Jonas & Grimm, Veronika & Grübel, Julia & Zöttl, Gregor, 2022. "Long-run market equilibria in coupled energy sectors: A study of uniqueness," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1335-1354.
    15. Olaf Jonkeren & Ivano Azzini & Luca Galbusera & Stavros Ntalampiras & Georgios Giannopoulos, 2015. "Analysis of Critical Infrastructure Network Failure in the European Union: A Combined Systems Engineering and Economic Model," Networks and Spatial Economics, Springer, vol. 15(2), pages 253-270, June.
    16. Egging, Ruud, 2013. "Benders Decomposition for multi-stage stochastic mixed complementarity problems – Applied to a global natural gas market model," European Journal of Operational Research, Elsevier, vol. 226(2), pages 341-353.
    17. Olufolajimi Oke & Daniel Huppmann & Max Marshall & Ricky Poulton & Sauleh Siddiqui, 2019. "Multimodal Transportation Flows in Energy Networks with an Application to Crude Oil Markets," Networks and Spatial Economics, Springer, vol. 19(2), pages 521-555, June.
    18. Anne Neumann & Juan Rosellón & Hannes Weigt, 2015. "Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market—A Proposed Merchant-Regulatory Mechanism," Networks and Spatial Economics, Springer, vol. 15(1), pages 149-181, March.
    19. Jonas Egerer, 2016. "Open Source Electricity Model for Germany (ELMOD-DE)," Data Documentation 83, DIW Berlin, German Institute for Economic Research.
    20. 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.
    21. Devine, Mel T. & Bertsch, Valentin, 2018. "Examining the benefits of load shedding strategies using a rolling-horizon stochastic mixed complementarity equilibrium model," European Journal of Operational Research, Elsevier, vol. 267(2), pages 643-658.
    22. Fodstad, Marte & Crespo del Granado, Pedro & Hellemo, Lars & Knudsen, Brage Rugstad & Pisciella, Paolo & Silvast, Antti & Bordin, Chiara & Schmidt, Sarah & Straus, Julian, 2022. "Next frontiers in energy system modelling: A review on challenges and the state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    23. Deane, J.P. & Ó Ciaráin, M. & Ó Gallachóir, B.P., 2017. "An integrated gas and electricity model of the EU energy system to examine supply interruptions," Applied Energy, Elsevier, vol. 193(C), pages 479-490.
    24. Qu, Kaiping & Yu, Tao & Huang, Linni & Yang, Bo & Zhang, Xiaoshun, 2018. "Decentralized optimal multi-energy flow of large-scale integrated energy systems in a carbon trading market," Energy, Elsevier, vol. 149(C), pages 779-791.

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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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