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

Niels Lindner (), Karolina Bartoszuk, Srinwanti Debgupta, Marie-Claire Gering, Christoph Muschner and Janina Zittel
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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

A chapter in Operations Research Proceedings 2024, 2025, pp 248-253 from Springer

Abstract: 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.

Keywords: Energy System Optimization; Energy Transition; Modeling to Generate Alternatives (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-92575-7_35

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