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The present brief analysis provides an overview about costs and benefits of the promotion of renewable energies in the framework of the EEG. We describe the development of the EEG apportionment in recent years, and its possible development in coming years. Furthermore, the analysis examines the merits of some of the most commonly expressed points of criticism against the EEG. Finally, we examine the extent to which the calculations regarding the costs of the expansion of photovoltaics, which are often raised in the media, are correct, and how they are to be interpreted.
There is an increasing pressure that enhanced and novel energy technologies are swiftly adopted by the market to ensure meeting the energy and climate targets. An important issue with such novel developments is their risk to be stuck in the "valley of death", i.e. that their transition to the market is delayed or unsuccessful. Publicly supported demonstration projects could help to bridge the valley of death by reducing barriers to the adoption caused by missing information and perceived risks. A challenge for technology demonstrations in the industrial context is their often high investments that are required to prove their real-world benefits. Given the magnitude of such investments, it becomes crucial that public funding focuses on the most promising demonstration proposals. Structured evaluation processes can help to facilitate the identification of promising proposals and to improve the quality and transparency of decisions. This paper deals with a corresponding multi-staged multi-criteria decision support system (DSS) suggested to the German Federal Ministry for Economic Affairs and Energy. It deals with the evaluation of demonstration proposals across three stages: The first stage represents a filtering stage to identify those proposals relevant for further considerations. The second stage comprises a multi-criteria scoring method drawing on an evaluation against nineteen criteria. The final third stage serves to critically review the need for public funding of well-scored proposals. This contribution outlines the development of the DSS and its design and thus provides insights on proposal evaluating in energy research.
Bridging the data gap
(2004)
Moll, Stephan ; Bringezu, Stefan ; Aßmann, Dirk ; Hanke, Thomas ; Wallbaum, Holger ; Bleischwitz, Raimund
Witecka, Wido K. ; Sartor, Oliver ; Hauser, Philipp D. ; Oliveira, Camilla ; Joas, Fabian ; Lenck, Thorsten ; Peter, Frank ; Seiler, Fiona ; Schneider, Clemens ; Holtz, Georg ; Samadi, Sascha ; Kobiela, Georg ; Lechtenböhmer, Stefan ; Dinges, Katja ; Steinbacher, Karoline ; Schröder, Jonas ; Sach, Thobias ; Schimmel, Matthias ; Kliem, Christine ; Altrock, Martin ; Lehnert, Wieland ; Finke, Jasper ; Yilmaz, Yasin
The basic materials industries are a cornerstone of Europe's economic prosperity, increasing gross value added and providing around 2 million high-quality jobs. But they are also a major source of greenhouse gas emissions. Despite efficiency improvements, emissions from these industries were mostly constant for several years prior to the Covid-19 crisis and today account for 20 per cent of the EU's total greenhouse gas emissions.
A central question is therefore: How can the basic material industries in the EU become climate-neutral by 2050 while maintaining a strong position in a highly competitive global market? And how can these industries help the EU reach the higher 2030 climate target - a reduction of greenhouse gas emissions of at least 55 per cent relative to 1990 levels?
In the EU policy debate on the European Green Deal, many suppose that the basic materials industries can do little to achieve deep cuts in emissions by 2030. Beyond improvements to the efficiency of existing technologies, they assume that no further innovations will be feasible within that period. This study takes a different view. It shows that a more ambitious approach involving the early implementation of key low-carbon technologies and a Clean Industry Package is not just possible, but in fact necessary to safeguard global competitiveness.
Water is a basis for life and ecosystem health. And water, especially in regions affected by water scarcity, is a highly contested and politicised natural resource. The state-of-the-art in sustainable water resources management requires collaborative approaches that foster the integration of conflicting interests of multiple stakeholders. Achieving integration in complex and contested real life situations however remains a major challenge. Boundary work can facilitate this ambitious goal. This study evolves boundary work science to improve collaboration in the water sector. It develops a framework for boundary work that enables understanding, structuring and approaching barriers for collaborative water resources management. A case study from the Garden Route region, South Africa gives a grounded basis for the conceptual developments and further provides in-depth insights into reasons and obstacles for collaborative water resources management in a contested local case. The case study serves both: An intrinsic analysis of a conflictive case, and conceptual developments to the boundary work framework - tested against local realities.
Only three days after the beginning of the nuclear catastrophe in Fukushima, Japan, on 11 March 2011, the German government ordered 8 of the country's 17 existing nuclear power plants (NPPs) to stop operating within a few days. In summer 2011 the government put forward a law - passed in parliament by a large majority - that calls for a complete nuclear phase-out by the end of 2022. These government actions were in contrast to its initial plans, laid out in fall 2010, to expand the lifetimes of the country's NPPs.
The immediate closure of 8 NPPs and the plans for a complete nuclear phase-out within little more than a decade, raised concerns about Germany's ability to secure a stable supply of electricity. Some observers feared power supply shortages, increasing CO2-emissions and a need for Germany to become a net importer of electricity.
Now - a little more than a year after the phase-out law entered into force - this paper examines these concerns using (a) recent statistical data on electricity production and demand in the first 15 months after the German government's immediate reaction to the Fukushima accident and (b) reviews the most recent projections and scenarios by different stakeholders on how the German electricity system may develop until 2025, when NPPs will no longer be in operation.
The paper finds that Germany has a realistic chance of fully replacing nuclear power with additional renewable electricity generation on an annual basis by 2025 or earlier, provided that several related challenges, e.g. expansion of the grids and provision of balancing power, can be solved successfully. Already in 2012 additional electricity generation from renewable energy sources in combination with a reduced domestic demand for electricity will likely fully compensate for the reduced power generation from the NPPs shut down in March 2011.
If current political targets will be realised, Germany neither has to become a net electricity importer, nor will be unable to gradually reduce fossil fuel generated electricity. Whether the reduction in fossil fuel use will be sufficient to adequately contribute to national greenhouse gas mitigation targets significantly depends on an active policy to promote electricity savings, continuous efforts to increase the use of renewables and a higher share of natural gas (preferably used in combined heat and power plants) in fossil fuel power generation.
Simulation modeling is useful to understand the mechanisms of the diffusion of innovations, which can be used for forecasting the future of innovations. This study aims to make the identification of such mechanisms less costly in time and labor. We present an approach that automates the generation of diffusion models by: (1) preprocessing of empirical data on the diffusion of a specific innovation, taken out by the user; (2) testing variations of agent-based models for their capability of explaining the data; (3) assessing interventions for their potential to influence the spreading of the innovation. We present a working software implementation of this procedure and apply it to the diffusion of water-saving showerheads. The presented procedure successfully generated simulation models that explained diffusion data. This progresses agent-based modeling methodologically by enabling detailed modeling at relative simplicity for users. This widens the circle of persons that can use simulation to shape innovation.