IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/1976.html
   My bibliography  Save this paper

Seasonal Flexibility in the European Natural Gas Market

Author

Listed:
  • Riepin, I.
  • Müsgens, F.

Abstract

The paper focuses on a seasonal demand swing in the European gas market. We quantify and compare the role of different flexibility options (domestic production, pipeline and LNG imports, and gas storages) in covering European demand fluctuations in monthly resolution. We contribute to the existing literature focusing on seasonal flexibility by addressing the problem with a mathematical gas market optimisation model. Empirically, our paper provides valuable insights with regard to declining North Western European gas production. Furthermore, we focus our discussion on specific flexibility features of pipeline versus LNG supplies and gas imports versus storage dispatch. In terms of methodology, we develop a bottom-up market optimisation model and publish the complete source code (which is still uncommon for gas market models). Furthermore, we propose a new metric based on the coefficient of variation to quantify the importance of supply sources for seasonal flexibility provision.

Suggested Citation

  • Riepin, I. & Müsgens, F., 2019. "Seasonal Flexibility in the European Natural Gas Market," Cambridge Working Papers in Economics 1976, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:1976
    as

    Download full text from publisher

    File URL: http://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe1976.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bohringer, Christoph & Hoffmann, Tim & Vogele, Stefan, 2002. "The cost of phasing out nuclear power:: a quantitative assessment of alternative scenarios for Germany," Energy Economics, Elsevier, vol. 24(5), pages 469-490, September.
    2. Lise, Wietze & Hobbs, Benjamin F. & van Oostvoorn, Frits, 2008. "Natural gas corridors between the EU and its main suppliers: Simulation results with the dynamic GASTALE model," Energy Policy, Elsevier, vol. 36(6), pages 1890-1906, June.
    3. Arora, Vipin, 2014. "Estimates of the Price Elasticities of Natural Gas Supply and Demand in the United States," MPRA Paper 54232, University Library of Munich, Germany.
    4. Kunz, Friedrich, 2018. "Quo Vadis? (Un)scheduled electricity flows under market splitting and network extension in central Europe," Energy Policy, Elsevier, vol. 116(C), pages 198-209.
    5. Ibrahim Abada, 2012. "A stochastic generalized Nash-Cournot model for the northwestern European natural gas markets with a fuel substitution demand function: The S-GaMMES model," Working Papers 1202, Chaire Economie du climat.
    6. 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).
    7. Rolf Golombek & Eystein Gjelsvik & Knut Einar Rosendahl, 1995. "Effects of Liberalizing the Natural Gas Markets in Western Europe," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 85-112.
    8. Tranberg, Bo & Schwenk-Nebbe, Leon J. & Schäfer, Mirko & Hörsch, Jonas & Greiner, Martin, 2018. "Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network," Energy, Elsevier, vol. 150(C), pages 122-133.
    9. Mirko Schäfer & Bo Tranberg & Sabrina Hempel & Stefan Schramm & Martin Greiner, 2017. "Decompositions of injection patterns for nodal flow allocation in renewable electricity networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(8), pages 1-11, August.
    10. 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.
    11. Steven A. Gabriel & Supat Kiet & Jifang Zhuang, 2005. "A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets," Operations Research, INFORMS, vol. 53(5), pages 799-818, October.
    12. Jian Chai & Huiting Shi & Xiaoyang Zhou & Shouyang Wang, 2018. "The Price Elasticity of Natural Gas Demand in China: A Meta-Regression Analysis," Energies, MDPI, vol. 11(12), pages 1-18, November.
    13. Marte Fodstad, Ruud Egging, Kjetil Midthun, and Asgeir Tomasgard, 2016. "Stochastic Modeling of Natural Gas Infrastructure Development in Europe under Demand Uncertainty," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
    14. Anne Neumann & Sophia Rüster & Christian von Hirschhausen, 2015. "Long-Term Contracts in the Natural Gas Industry: Literature Survey and Data on 426 Contracts (1965-2014)," Data Documentation 77, DIW Berlin, German Institute for Economic Research.
    15. Chyong, C-K. & Hobbs, B. F., 2011. "Strategic Eurasian Natural Gas Model for Energy Security (Revised 6 April 2011)," Cambridge Working Papers in Economics 1134, Faculty of Economics, University of Cambridge.
    16. Seljom, Pernille & Tomasgard, Asgeir, 2015. "Short-term uncertainty in long-term energy system models — A case study of wind power in Denmark," Energy Economics, Elsevier, vol. 49(C), pages 157-167.
    17. Chyong, Chi Kong & Hobbs, Benjamin F., 2014. "Strategic Eurasian natural gas market model for energy security and policy analysis: Formulation and application to South Stream," Energy Economics, Elsevier, vol. 44(C), pages 198-211.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lise, Wietze & Hobbs, Benjamin F., 2008. "Future evolution of the liberalised European gas market: Simulation results with a dynamic model," Energy, Elsevier, vol. 33(7), pages 989-1004.
    2. Baltensperger, Tobias & Füchslin, Rudolf M. & Krütli, Pius & Lygeros, John, 2016. "Multiplicity of equilibria in conjectural variations models of natural gas markets," European Journal of Operational Research, Elsevier, vol. 252(2), pages 646-656.
    3. Riepin, Iegor & Möbius, Thomas & Müsgens, Felix, 2021. "Modelling uncertainty in coupled electricity and gas systems—Is it worth the effort?," Applied Energy, Elsevier, vol. 285(C).
    4. Christian Growitsch & Harald Hecking & Timo Panke, 2014. "Supply Disruptions and Regional Price Effects in a Spatial Oligopoly—An Application to the Global Gas Market," Review of International Economics, Wiley Blackwell, vol. 22(5), pages 944-975, November.
    5. Chi Kong Chyong & David Reiner & Dhruvak Aggarwal, 2021. "Market power and long-term gas contracts: the case of Gazprom in Central and Eastern European Gas Markets," Working Papers EPRG2115, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. Berk, Istemi & Çam, Eren, 2020. "The shift in global crude oil market structure: A model-based analysis of the period 2013–2017," Energy Policy, Elsevier, vol. 142(C).
    7. Iegor Riepin & Thomas Mobius & Felix Musgens, 2020. "Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort?," Papers 2008.07221, arXiv.org, revised Sep 2020.
    8. Lise, Wietze & Hobbs, Benjamin F. & van Oostvoorn, Frits, 2008. "Natural gas corridors between the EU and its main suppliers: Simulation results with the dynamic GASTALE model," Energy Policy, Elsevier, vol. 36(6), pages 1890-1906, June.
    9. Berk, Istemi & Çam , Eren, 2019. "The Shift in Global Crude Oil Market Structure: A model-based analysis of the period 2013–2017," EWI Working Papers 2019-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Guo, Yingjian & Hawkes, Adam, 2018. "Simulating the game-theoretic market equilibrium and contract-driven investment in global gas trade using an agent-based method," Energy, Elsevier, vol. 160(C), pages 820-834.
    11. Chyong, Chi Kong & Hobbs, Benjamin F., 2014. "Strategic Eurasian natural gas market model for energy security and policy analysis: Formulation and application to South Stream," Energy Economics, Elsevier, vol. 44(C), pages 198-211.
    12. Wang, Xiaolin & Qiu, Yangyang & Chen, Jun & Hu, Xiangping, 2022. "Evaluating natural gas supply security in China: An exhaustible resource market equilibrium model," Resources Policy, Elsevier, vol. 76(C).
    13. Stevie Lochran, 2021. "GNOME: A Dynamic Dispatch and Investment Optimisation Model of the European Natural Gas Network and Its Suppliers," SN Operations Research Forum, Springer, vol. 2(4), pages 1-44, December.
    14. Schulte, Simon & Weiser, Florian, 2017. "Natural Gas Transits and Market Power - The Case of Turkey," EWI Working Papers 2017-6, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 15 Aug 2017.
    15. Selei, Adrienn & Takácsné Tóth, Borbála, 2022. "A modelling-based assessment of EU supported natural gas projects of common interest," Energy Policy, Elsevier, vol. 166(C).
    16. Abada, Ibrahim & Briat, Vincent & Massol, Olivier, 2013. "Construction of a fuel demand function portraying interfuel substitution, a system dynamics approach," Energy, Elsevier, vol. 49(C), pages 240-251.
    17. Bertsch, Valentin & Devine, Mel, 2019. "The Role of Demand Response in Mitigating Market Power — A Quantitative Analysis Using a Stochastic Market Equilibrium Model," Papers WP635, Economic and Social Research Institute (ESRI).
    18. 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.
    19. Huppmann, Daniel, 2013. "Endogenous production capacity investment in natural gas market equilibrium models," European Journal of Operational Research, Elsevier, vol. 231(2), pages 503-506.
    20. Lars Schewe & Martin Schmidt & Johannes Thürauf, 2020. "Structural properties of feasible bookings in the European entry–exit gas market system," 4OR, Springer, vol. 18(2), pages 197-218, June.

    More about this item

    Keywords

    European gas market; market modelling; seasonality;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cam:camdae:1976. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.