Zukünftige Energie- und Industriesysteme
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Heating behavior of households is key for reducing domestic energy demand and mitigating climate change. Recently, various technical devices have been developed, providing households with feedback on their heating behavior and supporting energy conservation behavior.
The impact of such devices on overall energy consumption depends on (1) the impact of a device within a household, (2) the diffusion of devices to other households and the number of adopters, and (3) the diffusion of the induced behavioral change beyond these households. While the first two processes are currently established in assessments of sustainable household devices, we suggest that adding behavior diffusion is essential when assessing devices that explicitly target behavioral change. We therefore propose an assessment framework that includes all three processes. We implement this framework in an agent-based model by combining two existing simulation models to explore the effect of adding behavior diffusion. In three simulation experiments, we identify two mechanisms by which behavior diffusion (1) spreads the effect of such devices from adopters to non-adopters and (2) increases the average speed of behavioral change of households. From these results we conclude that behavior diffusion should be included in assessments of behavior-changing feedback devices.
Diesen Technologien wird für das Energiesystem, bei einem zunehmenden Ausbau der fluktuierenden regenerativen Leitenergieträger Wind und Sonneneinstrahlung als zentrale Flexibilitätsoption sowie zur Dekarbonisierung der Industrie - Bereitstellung von Wasserstoff und Kohlenwasserstoffen -, eine Schlüsselrolle zukommen. Wie die bisherigen Erfahrungen mit anderen Energieinfrastrukturen, z. B. Freileitungen oder Windkraftanlagen, zeigen, stellt eine breite gesellschaftliche Akzeptanz einen wesentlichen Erfolgsfaktor für die großflächige Diffusion und Transformation dar. Entsprechend ist die gesellschaftliche Einbettung auch bei der Planung von PtX-Strategien frühzeitig zu beachten.
Soll der Staat oder der Markt der Hauptakteur im Prozess einer "Großen Transformation" der Gesellschaft sein? Und: Welcher Staat und welcher Markt? Deutlich wird, dass eine Transformation Richtung Nachhaltigkeit nicht gelingen kann, wenn alte Rationalitäts muster - wie die vom starken Staat und vom selbstregulieren den Markt - fortbestehen. Dagegen muss ein demokratischer Prozess stehen, der auf den Fähigkeiten der Bürger(innen) basiert und der emanzipatorische und herrschafts kritische Bewegungen stärkt.
The target of zero emissions sets a new standard for industry and industrial policy. Industrial policy in the twenty-first century must aim to achieve zero emissions in the energy and emissions intensive industries. Sectors such as steel, cement, and chemicals have so far largely been sheltered from the effects of climate policy. A major shift is needed, from contemporary industrial policy that mainly protects industry to policy strategies that transform the industry. For this purpose, we draw on a wide range of literatures including engineering, economics, policy, governance, and innovation studies to propose a comprehensive industrial policy framework. The policy framework relies on six pillars: directionality, knowledge creation and innovation, creating and reshaping markets, building capacity for governance and change, international coherence, and sensitivity to socio-economic implications of phase-outs. Complementary solutions relying on technological, organizational, and behavioural change must be pursued in parallel and throughout whole value chains. Current policy is limited to supporting mainly some options, e.g. energy efficiency and recycling, with some regions also adopting carbon pricing, although most often exempting the energy and emissions intensive industries. An extended range of options, such as demand management, materials efficiency, and electrification, must also be pursued to reach zero emissions. New policy research and evaluation approaches are needed to support and assess progress as these industries have hitherto largely been overlooked in domestic climate policy as well as international negotiations.
Roadmaps for India's energy future foresee that coal power will continue to play a considerable role until the middle of the 21st century. Among other options, carbon capture and storage (CCS) is being considered as a potential technology for decarbonising the power sector. Consequently, it is important to quantify the relative benefits and trade-offs of coal-CCS in comparison to its competing renewable power sources from multiple sustainability perspectives. In this paper, we assess coal-CCS pathways in India up to 2050 and compare coal-CCS with conventional coal, solar PV and wind power sources through an integrated assessment approach coupled with a nexus perspective (energy-cost-climate-water nexus). Our levelized costs assessment reveals that coal-CCS is expensive and significant cost reductions would be needed for CCS to compete in the Indian power market. In addition, although carbon pricing could make coal-CCS competitive in relation to conventional coal power plants, it cannot influence the lack of competitiveness of coal-CCS with respect to renewables. From a climate perspective, CCS can significantly reduce the life cycle GHG emissions of conventional coal power plants, but renewables are better positioned than coal-CCS if the goal is ambitious climate change mitigation. Our water footprint assessment reveals that coal-CCS consumes an enormous volume of water resources in comparison to conventional coal and, in particular, to renewables. To conclude, our findings highlight that coal-CCS not only suffers from typical new technology development related challenges - such as a lack of technical potential assessments and necessary support infrastructure, and high costs - but also from severe resource constraints (especially water) in an era of global warming and the competition from outperforming renewable power sources. Our study, therefore, adds a considerable level of techno-economic and environmental nexus specificity to the current debate about coal-based large-scale CCS and the low carbon energy transition in emerging and developing economies in the Global South.
Direct air capture (DAC) combined with subsequent storage (DACCS) is discussed as one promising carbon dioxide removal option. The aim of this paper is to analyse and comparatively classify the resource consumption (land use, renewable energy and water) and costs of possible DAC implementation pathways for Germany. The paths are based on a selected, existing climate neutrality scenario that requires the removal of 20 Mt of carbon dioxide (CO2) per year by DACCS from 2045. The analysis focuses on the so-called "low-temperature" DAC process, which might be more advantageous for Germany than the "high-temperature" one. In four case studies, we examine potential sites in northern, central and southern Germany, thereby using the most suitable renewable energies for electricity and heat generation. We show that the deployment of DAC results in large-scale land use and high energy needs. The land use in the range of 167-353 km2 results mainly from the area required for renewable energy generation. The total electrical energy demand of 14.4 TWh per year, of which 46% is needed to operate heat pumps to supply the heat demand of the DAC process, corresponds to around 1.4% of Germany's envisaged electricity demand in 2045. 20 Mt of water are provided yearly, corresponding to 40% of the city of Cologne's water demand (1.1 million inhabitants). The capture of CO2 (DAC) incurs levelised costs of 125-138 EUR per tonne of CO2, whereby the provision of the required energy via photovoltaics in southern Germany represents the lowest value of the four case studies. This does not include the costs associated with balancing its volatility. Taking into account transporting the CO2 via pipeline to the port of Wilhelmshaven, followed by transporting and sequestering the CO2 in geological storage sites in the Norwegian North Sea (DACCS), the levelised costs increase to 161-176 EUR/tCO2. Due to the longer transport distances from southern and central Germany, a northern German site using wind turbines would be the most favourable.
The German government has set itself the target of reducing the country's GHG emissions by between 80 and 95% by 2050 compared to 1990 levels. Alongside energy efficiency, renewable energy sources are set to play the main role in this transition. However, the large-scale deployment of renewable energies is expected to cause increased demand for critical mineral resources. The aim of this article is therefore to determine whether the transformation of the German energy system by 2050 ("Energiewende") may possibly be restricted by a lack of critical minerals, focusing primarily on the power sector (generating, transporting and storing electricity from renewable sources). For the relevant technologies, we create roadmaps describing a number of conceivable quantitative market developments in Germany. Estimating the current and future specific material demand of the options selected and projecting them along a range of long-term energy scenarios allows us to assess potential medium- or long-term mineral resource restrictions. The main conclusion we draw is that the shift towards an energy system based on renewable sources that is currently being pursued is principally compatible with the geological availability and supply of mineral resources. In fact, we identified certain sub-technologies as being critical with regard to potential supply risks, owing to dependencies on a small number of supplier countries and competing uses. These sub-technologies are certain wind power plants requiring neodymium and dysprosium, thin-film CIGS photovoltaic cells using indium and selenium, and large-scale redox flow batteries using vanadium. However, non-critical alternatives to these technologies do indeed exist. The likelihood of supplies being restricted can be decreased further by cooperating even more closely with companies in the supplier countries and their governments, and by establishing greater resource efficiency and recyclability as key elements of technology development.
Die multilaterale Politik bekennt sich zum Zwei-Grad-Ziel, um den Klimawandel zu begrenzen. Sie stützt sich dazu explizit auf Empfehlungen "der Wissenschaft". Bemerkenswert ist, dass sie sich dabei nicht - was doch naheläge - auf das IPCC beruft. Dieses Gremium hat sich nämlich explizit versagt, "Werturteile" wie das Zwei-Grad-Ziel zu formulieren. Da die Politik aber nach solchen Urteilen verlangt, bedient sie sich pragma tisch an anderer Stelle - bei einer Wissenschaft, die nicht strikt zwischen Fakten und Werturteilen trennt. Letzteres sollte auch ein Kennzeichen einer Wissenschaft von der Nachhaltigkeit (sustainability science) sein.
Die atompolitische Wende der Bundesregierung hatte zahlreichen Spekulationen und Befürchtungen Raum gegeben. Es wurde gemutmaßt, dass Deutschland zum Nettostromimporteur werden könnte, sollten die Kraftwerke (wie im Sommer 2011 beschlossen) dauerhaft außer Betrieb bleiben. Darüber hinaus nahm man an, dass die in Deutschland entfallende Stromerzeugung durch Kohlekraftwerke oder durch Importe aus französischen oder tschechischen Atomkraftwerken ersetzt würde und dass Strompreise sowie CO2-Emissionen deutlich ansteigen würden. Inzwischen liegen vorläufige Energiebilanzen und Marktdaten für das Jahr 2011 vor, die viele dieser Befürchtungen widerlegen. Der hier vorgenommene Ausblick auf die mögliche Entwicklung in den kommenden Jahren zeigt zudem, dass die Bilanz von 2011 keine Momentaufnahme sein muss, sondern dass der gegenüber 2010 wegfallende Kernenergiestrom - bilanziell gesehen - voraussichtlich bereits ab 2013 allein durch eine erhöhte regenerative Stromerzeugung kompensiert werden kann.
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.