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Warm-Starting Modeling to Generate Alternatives for Energy Transition Paths in the Berlin-Brandenburg Area

In: Operations Research Proceedings 2024

Author

Listed:
  • Niels Lindner

    (Zuse Institute Berlin)

  • Karolina Bartoszuk

    (Zuse Institute Berlin)

  • Srinwanti Debgupta

    (Zuse Institute Berlin)

  • Marie-Claire Gering

    (Reiner Lemoine Institut)

  • Christoph Muschner

    (Reiner Lemoine Institut)

  • Janina Zittel

    (Zuse Institute Berlin)

Abstract

Energy system optimization models are key to investigate energy transition paths towards a decarbonized future. Since this approach comes with intrinsic uncertainties, it is insufficient to compute a single optimal solution assuming perfect foresight to provide a profound basis for decision makers. The paradigm of modeling to generate alternatives enables to explore the near-optimal solution space to a certain extent. However, large-scale energy models require a non-negligible computation time to be solved. We propose to use warm start methods to accelerate the process of finding close-to-optimal alternatives. In an extensive case study for the energy transition of the Berlin-Brandenburg area, we make use of the sector-coupled linear programming oemof-B3 model to analyze a scenario for the year 2050 with a resolution of one hour and 100% reduction of greenhouse gas emissions. We demonstrate that we can actually achieve a significant computational speedup.

Suggested Citation

  • Niels Lindner & Karolina Bartoszuk & Srinwanti Debgupta & Marie-Claire Gering & Christoph Muschner & Janina Zittel, 2025. "Warm-Starting Modeling to Generate Alternatives for Energy Transition Paths in the Berlin-Brandenburg Area," Lecture Notes in Operations Research, in: Lukas Glomb (ed.), Operations Research Proceedings 2024, pages 248-253, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-92575-7_35
    DOI: 10.1007/978-3-031-92575-7_35
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