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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%.
Metadaten
Author:Tim SchellORCiD, Arjuna NebelORCiD
URN:urn:nbn:de:hbz:832-epub4-29492
DOI:https://doi.org/10.3390/en18051083
ISSN:1996-1073
Parent Title (English):Energies
Publisher:MDPI
Document Type:Article
Language:English
Date of Publication (online):2025/05/22
GND-Keyword:Energiewende; Finanzkrise
Tag:Agent-Based Modeling; Crisis Management Strategies; Energy Transition; Financial Crisis
Volume:18
Issue:5
Page Number:20
Institutes:Anlagen, Energie- und Maschinensysteme (F09) / Fakultät 09 / Cologne Institute for Renewable Energy
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
Open Access:Open Access
DeepGreen:DeepGreen
OA-Publicationfonds TH Köln:OA-Publicationfonds TH Köln
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International