Now showing 1 - 4 of 4
  • Publication
    Metastudie Wasserstoff. Was lässt sich aus Energiesystemstudien schlussfolgern?
    Im Auftrag des Nationalen Wasserstoffrats haben die drei Fraunhofer-Institute ISI, ISE und IEG in einer Metastudie die potentielle Nachfrage nach Wasserstoff sowie Wasserstoffderivaten bis 2050 analysiert. Hierzu wurden aktuelle Systemstudien für die EU und für Deutschland mit Szenarien für einen ambitionierten Klimaschutz analysiert. Die ausgewerteten Studien haben eine (stark techno-ökonomische) Systemsicht aus einer Energieperspektive heraus. Nicht alle Aspekte eines Transformationspfades (z. B. heimische Arbeitsplätze und Wertschöpfung, bestehende Regulierung, beschlossene Fördermaßnahmen etc.) werden dabei berücksichtigt. Diese Studien arbeiten mit Szenarien, die keine Vorhersagen darstellen, sondern die möglichen Entwicklungen und techno-ökonomische Pfade unter verschiedenen Annahmen abbilden.
  • Publication
    Integrating methods and empirical findings from social and behavioural sciences into energy system models - motivation and possible approaches
    ( 2020) ;
    Dobbins, Audrey
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    Kockel, Christina
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    Steinbach, Jan
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    Fahl, Ulrich
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    Wille, Farina
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    Globisch, Joachim
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    Wassermann, Sandra
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    Droste-Franke, Bert
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    Hauser, Wolfgang
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    Hofer, Claudia
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    Nolting, Lars
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    The transformation of the energy system is a highly complex process involving many dimensions. Energy system models help to understand the process and to define either target systems or policy measures. Insights derived from the social sciences are not sufficiently represented in energy system models, but address crucial aspects of the transformation process. It is, therefore, necessary to develop approaches to integrate results from social science studies into energy system models. Hence, as a result of an interdisciplinary discourse among energy system modellers, social scientists, psychologists, economists and political scientists, this article explains which aspects should be considered in the models, how the respective results can be collected and which aspects of integration into energy system models are conceivable to provide an overview for other modellers. As a result of the discourse, five facets are examined: Investment behaviour (market acceptance), user behaviour, local acceptance, technology innovation and socio-political acceptance. Finally, an approach is presented that introduces a compound of energy system models (with a focus on the macro and micro-perspective) as well as submodels on technology genesis and socio-political acceptance, which serves to gain a more fundamental knowledge of the transformation process.
  • Publication
    Opportunities and challenges of high renewable energy deployment and electricity exchange for North Africa and Europe - scenarios for power sector and transmission infrastructure in 2030 and 2050
    ( 2016) ; ;
    Bohn, Sven
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    Agsten, Michael
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    Bretschneider, Peter
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    Snigovyi, Oleksandr
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    ; ; ;
    Westermann, Dirk
    Climate change and limited availability of fossil fuel reserves stress both the importance of deploying renewable energy sources (RES) for electricity generation and the need for a stronger integration of regional electricity markets. This analysis focuses on North African (NA) countries, which possess vast resources of renewable energy but whose electricity supply is still largely dependent on fossil fuels. An analysis of cost-optimized deployment scenarios for RES is conducted in five NA countries in 2030 and 2050. Three electricity models are combined to derive results covering trans-regional to sub-national level, including a detailed analysis of grid capacities and future transmission challenges. Further, opportunities for integration of European and NA electricity markets are evaluated. Results confirm that, by 2050, high RES shares - close to 100% - are possible in NA. Wind energy is the dominant technology. Concentrated Solar Power (CSP) plants also play an important role with rising RES shares due to the possibility to store thermal energy. Electricity exports to Europe gain particular importance in the period after 2030. Substantial transmission grid reinforcements on AC-level and the construction of a high voltage DC overlay grid are prerequisites for the forecasted scenarios.
  • Publication
    Smart grid agent: Plug-in electric vehicle
    ( 2014)
    Dallinger, David
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    Link, Jochen
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    This study describes a method for programming a plug-in electric vehicle (PEV) agent that can be used in power system models and in embedded systems implemented in real PEVs. Implementing the software in real-life applications and in simulation tools enables research with a high degree of detail and practical relevance. Agent-based programming, therefore, is an important tool for investigating the future power system. To demonstrate the PEV agent behavior, an optimization algorithm is presented and two battery aging methods, as well as their effect on vehicle-to-grid operation, are analyzed. Aging costs based on the depth-of-discharge result in shallow cycles and a strong dependency on driving behavior, because the state-of-charge affects the discharging process. In contrast, aging costs based on energy throughput calculations result in deeper cycles and V2G operation, which is less dependent on driving behavior.