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Consistent Flow Scenario Generation Based on Open Data for Operational Analysis of European Gas Transport Networks

In: Operations Research Proceedings 2023

Author

Listed:
  • Inci Yueksel-Erguen

    (Zuse Institute Berlin)

  • Thorsten Koch

    (Zuse Institute Berlin
    Technische Universität Berlin)

  • Janina Zittel

    (Zuse Institute Berlin)

Abstract

In recent years, European gas transport has been affected by major disruptive events like political issues such as, most recently, the Russian war on Ukraine. To incorporate the impacts of such events into decision-making during the energy transition, more complex models for gas network analysis are required. However, the limited availability of consistent data presents a significant obstacle in this endeavor. We use a mathematical-modeling-based scenario generator to deal with this obstacle. The scenario generator consists of capacitated network flow models representing the gas network at different aggregation levels. In this study, we present the coarse-to-fine approach utilized in this scenario generator.

Suggested Citation

  • Inci Yueksel-Erguen & Thorsten Koch & Janina Zittel, 2025. "Consistent Flow Scenario Generation Based on Open Data for Operational Analysis of European Gas Transport Networks," Lecture Notes in Operations Research, in: Guido Voigt & Malte Fliedner & Knut Haase & Wolfgang Brüggemann & Kai Hoberg & Joern Meissner (ed.), Operations Research Proceedings 2023, chapter 0, pages 493-499, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-58405-3_63
    DOI: 10.1007/978-3-031-58405-3_63
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