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COLUMBUS - A global gas market model

Author

Listed:
  • Hecking, Harald

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

  • Panke, Timo

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)

Abstract

A model of the global gas market is presented which in its basic version optimises the future development of production, transport and storage capacities as well as the actual gas ows around the world assuming perfect competition. Besides the transport of natural gas via pipelines also the global market for lique ed natural gas (LNG) is modeled using a hub-and-spoke approach. While in the basic version of the model an inelastic demand and a piecewise-linear supply function are used, both can be changed easily, e.g. to a Golombek style production function or a constant elasticity of substitution (CES) demand function. Due to the usage of mixed complementary programming (MCP) the model additionally allows for the simulation of strategic behaviour of di erent players in the gas market, e.g. the gas producers.

Suggested Citation

  • Hecking, Harald & Panke, Timo, 2012. "COLUMBUS - A global gas market model," EWI Working Papers 2012-6, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  • Handle: RePEc:ris:ewikln:2012_006
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    References listed on IDEAS

    as
    1. Lochner, Stefan, 2011. "Identification of congestion and valuation of transport infrastructures in the European natural gas market," Energy, Elsevier, vol. 36(5), pages 2483-2492.
    2. Egging, Ruud & Holz, Franziska & Gabriel, Steven A., 2010. "The World Gas Model," Energy, Elsevier, vol. 35(10), pages 4016-4029.
    3. 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.
    4. Ruud Egging & Franziska Holz & Steven A. Gabriel, 2009. "The World Gas Model: A Multi-Period Mixed Complementarity Model for the Global Natural Gas Market," Discussion Papers of DIW Berlin 959, DIW Berlin, German Institute for Economic Research.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Nagl, Stephan, 2013. "The Effect of Weather Uncertainty on the Financial Risk of Green Electricity Producers under Various Renewable Policies," EWI Working Papers 2013-15, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. 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.
    3. Marte Fodstad & Ruud Egging & Kjetil Midthun & Asgeir Tomasgard, 2016. "Stochastic Modeling of Natural Gas Infrastructure Development in Europe under Demand Uncertainty," The Energy Journal, , vol. 37(3_suppl), pages 5-32, December.
    4. 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.
    5. Berk, Istemi & Schulte, Simon, 2017. "Turkey's Role in Natural Gas - Becoming a Transit Country?," EWI Working Papers 2017-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 27 Jan 2017.
    6. 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.
    7. 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).
    8. 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.
    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. Seeliger, Andreas, 2023. "Modelling Natural Gas Markets: Could We Learn from our Mistakes in the Past? - A Reality Check for MAGELAN," EconStor Preprints 276957, ZBW - Leibniz Information Centre for Economics.
    11. Nagl, Stephan, 2013. "Prices vs. Quantities: Incentives for Renewable Power Generation - Numerical Analysis for the European Power Market," EWI Working Papers 2013-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    12. 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.
    13. Vitor Miguel Ribeiro & Gustavo Soutinho & Isabel Soares, 2023. "Natural Gas Prices in the Framework of European Union’s Energy Transition: Assessing Evolution and Drivers," Energies, MDPI, vol. 16(4), pages 1-46, February.
    14. Farag, Markos & Zaki, Chahir, 2021. "On the Determinants of Trade in Natural Gas: A Political Economy Approach," EWI Working Papers 2021-8, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    15. Hecking, Harald, 2015. "CO2 abatement policies in the power sector under an oligopolistic gas market," EWI Working Papers 2014-14, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    16. 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.
    17. Foster, John & Wagner, Liam & Liebman, Ariel, 2015. "Modelling the Electricity and Natural Gas Sectors for the Future Grid: Developing Co-Optimisation Platforms for Market Redesign," MPRA Paper 70114, University Library of Munich, Germany.
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    More about this item

    Keywords

    Natural gas market; partial equilibrium modelling; MCP;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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