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

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%.

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Publication Details

Journal
Energies
Published
2025-02-23
DOI
https://doi.org/10.3390/en18051083
Primary Topic
Housing, Finance, and Neoliberalism
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Arjuna Nebel, Tim Schell
Energies
Housing, Finance, and Neoliberalism
article

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

Arjuna Nebel, Tim Schell
article en

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%.

EnergiesVol. 18(5)
TH Köln - University of Applied Sciences (DE)
Openalex Percentile: Top 95%
Housing, Finance, and Neoliberalism
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