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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. 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.
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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. 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).
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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, pages 198-211.
    8. 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.
    9. Orea, Luis & Growitsch, Christian & Jamasb, Tooraj, 2012. "Using Supervised Environmental Composites in Production and Efficiency Analyses: An Application to Norwegian Electricity Networks," Efficiency Series Papers 2012/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    More about this item

    Keywords

    Natural gas market; partial equilibrium modelling; MCP;

    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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