Agent-Based Analysis of Financial Crisis Management Strategies to Enhance the Energy Transition in Germany

Tim Schell and Arjuna Nebel ()
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Tim Schell: Faculty of Process Engineering, Energy and Mechanical Systems, Cologne Institute for Renewable Energy, TH Köln, Betzdorfer Straße 2, 50679 Cologne, Germany
Arjuna Nebel: Faculty of Process Engineering, Energy and Mechanical Systems, Cologne Institute for Renewable Energy, TH Köln, Betzdorfer Straße 2, 50679 Cologne, Germany

Energies, 2025, vol. 18, issue 5, 1-20

Abstract: Crises appear to be occurring with increased frequency, whether provoked directly by human actions or through indirect causes such as resource scarcity or natural disasters. Crisis management strategies are frequently implemented with the aim of mitigating the immediate impacts of these crises. Nevertheless, it is critical to also consider the long-term consequences of such strategies. This study investigates both the short- and long-term effects of various crisis management strategies during a financial crisis in relation to the energy transition. An agent-based model of the German electricity sector is developed to analyze the effects of different strategies. The findings suggest that a reduction in electricity demand by 10% achieves the most favorable outcomes, decreasing short-term electricity costs by 11% and long-term carbon dioxide emissions by 9%.

Keywords: financial crisis; energy transition; agent-based modeling; crisis management strategies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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