Now showing 1 - 9 of 9
  • Publication
    Assessment of policy pathways for reaching the EU target of (at least) 27% renewable energies by 2030
    ( 2019)
    Resch, Gustav
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    Liebmann, Lukas
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    Geipel, Jasper
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    Janeiro, Luis
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    Klessmann, Corinna
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    ; ;
    Rio, Pablo del
    As an important first step in defining the framework for renewable energies (RE) within the European Union post 2020, a binding EU-wide target to achieve a renewables share of at least 27% of gross final energy demand by 2030 was adopted by the European Council and Parliament in October 2014. On 30 November 2016, the next step was taken: The European Commission published a package of proposed legislative measures for the time horizon from 2020 to 2030 called ""Clean Energy for all Europeans"", commonly referred to as the ""Winter Package"". It is aimed at facilitating the clean energy transition while developing the internal market for electricity, thus fostering the Energy Union. Within the scope of the Intelligent Energy Europe project ""towards2030-dialogue"" we have facilitated and guided the RE policy dialogue for the period up to 2030 over the past number of years. The dialogue process was coupled with in-depth and continuous analysis of relevant topics that included renewable energies in all energy sectors, but with more detailed analyses for renewable electricity. The analytical works included, for example, a first critical reflection on the Winter Package as well as a model-based analysis of distinct renewable electricity policy pathways up to 2030, including options for coordinating and aligning national support schemes as well as the clustering of regional support schemes. This chapter describes the approach taken and presents some of our key results together with recommendations on the way forward.
  • Publication
  • Publication
    Multi-Agenten Systeme als Methode zur Simulation von Entscheidungsprozessen in der Energiewirtschaft
    ( 2004)
    Veit, D.
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    Fichtner, W.
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    In Kombination von Ökonomie, Naturwissenschaft und Informatik werden in diesem Forschungsvorhaben die Auswirkungen des CO2-Zertifikatehandels und des verstärkten Einsatzes erneuerbarer Energieträger auf die Kraftwerksstrukturen, Investitionsentscheidungen und Emissionen im liberalisierten Strommarkt untersucht. Neben der Liberalisierung sind die Strommärkte künftig zunehmend durch regulierende Eingriffe beeinflusst, die sich wesentlich aus der Notwendigkeit zur Reduktion von CO2-Emissionen ergeben. Für CO2-Emissionen, die u.a. bei der Elektrizitätserzeugung anfallen, wird ab dem Jahr 2005 in Europa ein Emissionshandelssystem mit verpflichtender Teilnahme aufgebaut. Ein zusätzliches Novum in der Energieerzeugung ergibt sich aus dem fluktuierenden Charakter einiger erneuerbarer Energieträger. Diese geänderten energiewirtschaftlichen Rahmenbedingungen schaffen neue Strukturen auf den Elektrizitätsmärkten und damit eine neue Emissionssituation. Die Zielsetzung des Forschungsvorhabens ist es daher, auf Basis eines Multi-Agenten-Systems (MAS) ein neues Konzept zur Marktsimulation von Elektrizitätsmärkten zu entwickeln, welches unter anderem die oben skizzierten Anforderungen erfüllt. Hierdurch soll ein verbessertes Verständnis der Wechselwirkungen zwischen verschiedenen Akteuren und der Marktdynamik eines Marktes von CO2-Zertifikaten und erneuerbarer Energieträger erzielt werden. Schließlich sollen insbesondere Handlungsempfehlungen für die Akteure am Strommarkt sowie politische Entscheidungsträger abgeleitet werden.
  • Publication
    Agent-based computational economics in power markets - multi-agent based simulation as a tool for decision support
    ( 2004)
    Veit, D.
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    Fichtner, W.
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    The aim of this research in progress is to examine the effect of CO2-emission trading and the intensified application of renewable energy sources to the liberalized power market. The research approach applies methods from a combination of economics, natural sciences and computer science in order to obtain decision support for the planning of future power plant structures, investment decisions, and emission scales. Besides the liberalization, future power markets are increasingly influenced by regulatory acts which are mainly responding to the necessity of a structured reduction of CO2-emissions. For CO2-eminssions, which are generated by the production of electric power, an emission trading system with obligatory participation is being launched from 2005 on. Since in the same period, the amount of power which has to be produced from renewable energy sources is increased dramatically, an additional incoming aspect is the fluctuating character of many of those sources. These changed general conditions in the industrial power sector cause novel structures at international power markets and additionally a new emissions situation. The aim of this research is the conception of a methodologically innovative concept to simulate power markets based on multi-agent systems (MAS) and agent-based computational economics (ACE) which fulfils the described desiderata. Since heterogeneous utility functions for individual market participants can be modelled - in comparison to existing centrally steered simulation methods - a multi-agent based simulation approach promises more realistic simulation results. Specific behaviour and the dynamic adoption of the strategies of individual participants based on the experiences derived from market behaviour can explicitly be simulated. The aim of the research approach is to obtain a strengthened understanding of the mutual effects among heterogeneous participants and the dynamics of the market of CO2-emissions as well as renewable energy resources. To disseminate these results, acting recommendations for participants at international power markets as well as political and regulatory authorities are derived.