Zukünftige Energie- und Industriesysteme
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Technologischer Wandel ist wichtig für die Umsetzung und den Erfolg der Energiewende, deswegen strebt die Bundesregierung mit ihrer Politik auch eine positive Innovationswirkung an. Doch welche Auswirkungen hat der politisch angestoßene Wandel des Energiesystems wirklich und welche Dynamiken werden durch ihn induziert? Eine aktuelle Studie untersucht die Sicht auf die Energiepolitik und Innovationsaktivitäten in der Energiewirtschaft und Energietechnologie-Branche. Sie zeigt die durch die Energiewende getriebenen Innovationsdynamiken, aber auch Schwierigkeiten und Herausforderungen für Politik und Unternehmen auf.
Die Transformation des deutschen Energiesystems in Richtung signifikanter Reduktion energiebedingter CO2-Emissionen kann durch eine Abfolge verschiedener Phasen beschrieben werden. Phasenübergänge ergeben sich dabei aus strukturellen Erfordernissen im Gesamtsystem bei kontinuierlichem weiteren Ausbau erneuerbarer Energiewandler, insbesondere Sonne und Wind. Die anstehende zweite Phase ist durch eine umfassende Systemintegration volatiler erneuerbarer Energien insbesondere im Bereich der Strombereitstellung geprägt. Dies erfordert sowohl eine flexible komplementäre Erzeugung als auch die Aktivierung von Flexibilitätsoptionen auf der Verbrauchsseite.
Lessons for model use in transition research : a survey and comparison with other research areas
(2015)
The use of models to study the dynamics of transitions is challenging because of several aspects of transitions, notably complexity, multi-domain and multi-level interactions. These challenges are shared by other research areas that extensively make use of models. In this article we survey experiences and methodological approaches developed in the research areas of social-ecological modeling, integrated assessment, and environmental modeling, and derive lessons to be learnt for model use in transition studies. In order to account for specific challenges associated with different kinds of model applications we classify models according to their uses: for understanding transitions, for providing case-specific policy advice, and for facilitating stakeholder processes. The assessment reveals promising research directions for transition modeling, such as model-to-model analysis, pattern-oriented modeling, advanced sensitivity analysis, development of a shared conceptual framework, and use of modeling protocols.
Urbanization and climate change are amongst the greatest challenges of the 21st century. In the "Low Carbon Future Cities" project (LCFC), three important problem dimensions are analysed: current and future GHG emissions and their mitigation (up to 2050); resource use and material flows; and vulnerability to climate change.
The industrial city of Wuxi has been the Chinese pilot city of the project. To establish the pathway for a low carbon future, it is crucial to understand the current situation and possible future developments. The paper presents the key results of the status quo analysis and the future scenario analysis carried out for Wuxi. Two scenarios are outlined. The Current Policy Scenario (CPS) shows the current most likely development in the area of energy demand and GHG emissions until 2050. Whereas the extra low carbon scenario (ELCS) assumes a significantly more ambitious implementation, it combines a market introduction of best available technologies with substantial behavioural change. All scenarios are composed of sub-scenarios for the selected key sectors.
Looking at the per capita emissions in Wuxi, the current levels are already high at around 12 tonnes CO2 per capita compared to Western European cities. Although Wuxi has developed a low carbon plan, the projected results under current policies (CPS) show that the total emissions would increase to 23.6 tonnes CO2 per capita by 2050. If the ELCS pathway was to be adopted, these CO2 emission levels could be reduced to 6.4 tonnes per capita by 2050.
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.
Nach einer langen Phase der Stabilität ist die Stromwirtschaft in den vergangenen 15 Jahren stark in Bewegung geraten. Mit der Liberalisierung stand zunächst der Wechsel von Gebietsmonopolen hin zu wettbewerblich organisierten Erzeuger- und Verbrauchermärkten an. Derzeit findet ein ganz ähnlicher Umbruch statt, der vom Übergang von konventioneller hin zu erneuerbarer Stromerzeugung gekennzeichnet ist. Aber sind die Paradigmen der einzelnen Phasen miteinander vereinbar und hat jede für sich noch immer ihre Daseinsberechtigung, oder ist hier eine Modifizierung notwendig? Das Strommarktdesign der Zukunft kann nicht auf einem leeren Blatt entworfen, sondern es müssen bestehende Strukturen berücksichtigt werden. Gleichzeitig ist die Frage zu beantworten, ob die Wahl zwischen regulatorischen oder marktbasierten Ansätzen sich auch anhand der mit ihnen möglichen Präzision der Steuerung unterscheidet.
Prospects of carbon capture and storage (CCS) in China's power sector : an integrated assessment
(2015)
Objective: The aim of the present article is to conduct an integrated assessment in order to explore whether CCS could be a viable technological option for significantly reducing future CO2 emissions in China. Methods: In this paper, an integrated approach covering five assessment dimensions is chosen. Each dimension is investigated using specific methods (graphical abstract). Results: The most crucial precondition that must be met is a reliable storage capacity assessment based on site-specific geological data. Our projection of different trends of coal-based power plant capacities up to 2050 ranges between 34 and 221 Gt of CO2 that may be captured from coal-fired power plants to be built by 2050. If very optimistic assumptions about the country’s CO2 storage potential are applied, 192 Gt of CO2 could theoretically be stored as a result of matching these sources with suitable sinks. If a cautious approach is taken, this figure falls to 29 Gt of CO2. In practice, this potential will decrease further with the impact of technical, legal, economic and social acceptance factors. Further constraints may be the delayed commercial availability of CCS in China; a significant barrier to achieving the economic viability of CCS due to a currently non-existing nation-wide CO2 pricing scheme that generates a sufficiently strong price signal; an expected life-cycle reduction rate of the power plant's greenhouse gas emissions of 59-60%; and an increase in most other negative environmental and social impacts. Conclusion and practice implications: Most experts expect a striking dominance of coal-fired power generation in the country's electricity sector, even if the recent trend towards a flattened deployment of coal capacity and reduced annual growth rates of coal-fired generation proves to be true in the future. In order to reduce fossil fuel-related CO2 emissions to a level that would be consistent with the long-term climate protection target of the international community to which China is increasingly committing itself, this option may require the introduction of CCS. However, a precondition for opting for CCS would be finding robust solutions to the constraints highlighted in this article. Furthermore, a comparison with other low-carbon technology options may be useful in drawing completely valid conclusions on the economic, ecological and social viability of CCS in a low-carbon policy environment. The assessment dimensions should be integrated into macro-economic optimisation models by combining qualitative with quantitative modelling, and the flexible operation of CCS power plants should be analysed in view of a possible role of CCS for balancing fluctuating renewable energies.
Prospects for the integration of power markets and the expansion of renewable energy have recently triggered a number of publications dealing with transformation scenarios of the North African electricity systems. This paper compares five studies using economic electricity supply- and demand models to assess possible development pathways of the North African power systems from today until 2030 and 2050. The analysis shows that distinct modeling methodologies as well as different approaches to scenario design and parameter assumptions can strongly influence the studies' results, leading to very heterogenous projections of North Africa's power generation structures as well as the patterns of electricity exchange with other regions, like Europe. Common findings of the studies are that the surplus costs of capital-intensive renewable energy expansion in North Africa can in most cases be offset by avoided fuel costs and avoided investments in conventional power plants. All studies further agree that increased transnational cooperation, notably in terms of market integration and cross-border power exchanges, can bring about important economic advantages for the North African power sector. Renewable energy expansion could also drive electricity exports to Europe, but in integrated power market schemes, such exports only become viable with a very high share of renewable energy exceeding 60% of the North African power demand.
Societal transitions involve multiple actors, changes in institutions, values and technologies, and interactions across multiple sectors and scales. Given this complexity, this paper takes on the view that the societal transitions research field would benefit from the further maturation and broader uptake of modelling approaches. This paper shows how modelling can enhance the understanding of and support stakeholders to steer societal transitions. It discusses the benefits modelling provides for studying large societal systems and elaborates on different ways models can be used for transitions studies. Two model applications are presented in some detail to illustrate the benefits. Then, limitations of modelling societal transitions are discussed, which leads to an agenda for future activities: (1) better cooperation in the development of dynamic models, (2) stronger interaction with other transition scholars and stakeholders, and (3) use of additional modelling approaches that we think are relevant to and largely unexplored in transitions studies.
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.