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A modelling approach for the German gas grid using highly resolved spatial, temporal and sectoral data (GAMAMOD-DE)

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  • Hauser, Philipp

Abstract

Natural gas is the fossil fuel with lowest CO2-emissions, compared to coal, lignite or oil. Regarding the ongoing energy transition in Germany, the extend usage of natural gas provide advantages that might be built a bridge to a low carbon energy system until 2050. Against this backdrop, this paper introduces a model for the German natural gas market (GAMAMOD-DE) with focus on infrastructure utilisation. Following a linear optimization approach, the model considers a highly resolved grid structure of pipelines, storages and cross-border connections to neighbouring countries. The spatial and temporal resolved gas demand is divided into three different sectors: industry, heating and electricity. An application for the year 2012 shows the performance and validation of the proposed model. Results show the utilisation of infrastructure and enable an assessment of the level of security of supply during the considered time frame. In addition, the findings suggest that although European customers suffered on cold winter days in 2012, from a system part of view, the security of supply (SoS) was always ensured. Further research should focus on analysing SoS and resilience of gas networks in the mid- and long-term, especially when sector coupling between electricity and gas is far advanced.

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  • Hauser, Philipp, 2019. "A modelling approach for the German gas grid using highly resolved spatial, temporal and sectoral data (GAMAMOD-DE)," EconStor Preprints 197000, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:197000
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    File URL: https://www.econstor.eu/bitstream/10419/197000/1/Hauser%2c%202019_GAMAMOD-DE.pdf
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    References listed on IDEAS

    as
    1. Holz, Franziska & von Hirschhausen, Christian & Kemfert, Claudia, 2008. "A strategic model of European gas supply (GASMOD)," Energy Economics, Elsevier, vol. 30(3), pages 766-788, May.
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    Cited by:

    1. Philipp Hauser & Sina Heidari & Christoph Weber & Dominik Möst, 2019. "Does Increasing Natural Gas Demand in the Power Sector Pose a Threat of Congestion to the German Gas Grid? A Model-Coupling Approach," Energies, MDPI, vol. 12(11), pages 1-22, June.
    2. Göke, Leonard, 2021. "A graph-based formulation for modeling macro-energy systems," Applied Energy, Elsevier, vol. 301(C).

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    More about this item

    Keywords

    Linear problem optimization; gas grid Germany; sectoral; temporal; and spatial resolved demand; energy security;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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