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The final report of the research project "Power Sector Decarbonisation: Metastudy" contains the various reports prepared by Öko-Institut and Wuppertal Institute during the course of the SEFEP funded project. A key objective of the project was to make a contribution to the debates within the European Union (EU) and Member States on the EU's Energy Roadmap 2050 publication, which was released in December 2011. This objective was achieved by systematically analysing and comparing recently published scenarios on the European electricity sector commissioned by a range of different stakeholders (environmental NGOs, industry and government agencies).
Transformative Innovationen : die Suche nach den wichtigsten Hebeln der Großen Transformation
(2021)
Der hier vorliegende Zukunftsimpuls soll den Grundgedanken der Transformativen Innovationen und ihre Notwendigkeit beschreiben sowie erste Kandidaten für solche Transformativen Innovationen aus diversen Arbeitsbereichen des Wuppertal Instituts vorstellen. Er dient vor allem als Einladung, gemeinsam mit dem Wuppertal Institut über solche Innovationen zu diskutieren, die irgendwo zwischen den großen Utopien und kleinen Nischenaktivitäten liegen. Denn es braucht nicht immer den ganz großen Wurf, um Veränderungen in Gang zu setzen.
Die grundsätzliche wirtschaftstheoretische Kritik am Erneuerbare-Energien-Gesetz greift zu kurz
(2010)
Der volkswirtschaftliche Nutzen der Förderung erneuerbarer Energien in Deutschland über das Erneuerbare-Energien-Gesetz (EEG) wurde wiederholt von verschiedenen Ökonomen und wirtschaftswissenschaftlichen Institutionen in Frage gestellt. Dabei wird zumeist als wesentliches Argument vorgebracht, dass das EEG unnötige Kosten für die Gesellschaft verursache und spätestens seit der EU-weiten Umsetzung eines Handels mit CO2-Emissionszertifikaten überflüssig sei. Eine genauere Betrachtung zeigt, dass diese Argumentation zu kurz greift, nicht zuletzt weil sie wesentliche ökonomische Zusammenhänge vernachlässigt.
Die Energiewende stellt einen ambitionierten und zugleich hochkomplexen Transformationsprozess dar. Der vorliegende Artikel stellt acht Thesen auf, die dabei helfen können, die Herausforderungen besser zu verstehen und Ansatzpunkte für zukünftiges Handeln zu identifizieren sowie Forschungsbedarf aufzuzeigen.
The need for an "Energy Roadmap 2050" triggered a multitude of studies that were conducted between 2009 and 2011, which again contained a multitude of decarbonisation scenarios, which achieve the EU's long-term emission mitigation target of reducing greenhouse gas emissions by at least 80% until 2050 (relative to 1990 emissions). The variety of important analysis is difficult to compare and utilize for specific and timely policy decisions. Thus the Smart Energy for Europe Platform (SEFEP) has commissioned a comparative study of relevant energy scenario studies for Europe. The findings of this comparative study are summarized here briefly.
We conduct a systematic, interdisciplinary review of empirical literature assessing evidence on induced innovation in energy and related technologies. We explore links between demand-drivers (both market-wide and targeted); indicators of innovation (principally, patents); and outcomes (cost reduction, efficiency, and multi-sector/macro consequences). We build on existing reviews in different fields and assess over 200 papers containing original data analysis. Papers linking drivers to patents, and indicators of cumulative capacity to cost reductions (experience curves), dominate the literature. The former does not directly link patents to outcomes; the latter does not directly test for the causal impact of on cost reductions). Diverse other literatures provide additional evidence concerning the links between deployment, innovation activities, and outcomes. We derive three main conclusions. (1) Demand-pull forces enhance patenting; econometric studies find positive impacts in industry, electricity and transport sectors in all but a few specific cases. This applies to all drivers - general energy prices, carbon prices, and targeted interventions that build markets. (2) Technology costs decline with cumulative investment for almost every technology studied across all time periods, when controlled for other factors. Numerous lines of evidence point to dominant causality from at-scale deployment (prior to self-sustaining diffusion) to cost reduction in this relationship. (3) Overall Innovation is cumulative, multi-faceted, and self-reinforcing in its direction (path-dependent). We conclude with brief observations on implications for modeling and policy. In interpreting these results, we suggest distinguishing the economics of active deployment, from more passive diffusion processes, and draw the following implications. There is a role for policy diversity and experimentation, with evaluation of potential gains from innovation in the broadest sense. Consequently, endogenising innovation in large-scale models is important for deriving policy-relevant conclusions. Finally, seeking to relate quantitative economic evaluation to the qualitative socio-technical transitions literatures could be a fruitful area for future research.