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Contrary to "static" pathways that are defined once for all, this article deals with the need for policy makers to adopt a dynamic adaptive policy pathway for managing decarbonization over the period of implementation. When choosing a pathway as the most desirable option, it is important to keep in mind that each decarbonization option relies on the implementation of specific policies and instruments. Given structural, effectiveness, and timing uncertainties specific to each policy option, they may fail in delivering the expected outcomes in time. The possibility of diverging from an initial decarbonization trajectory to another one without incurring excessive costs should therefore be a strategic element in the design of an appropriate decarbonization strategy. The article relies on initial experiences in France and Germany on decarbonization planning and implementation to define elements for managing dynamic adjustment issues. Such an adaptive pathway strategy should combine long-lived incentives, like a pre-announced escalating carbon price, to form consistent expectations, as well as adaptive policies to improve overall robustness and resilience. We sketch key elements of a monitoring process based on an ex ante definition of leading indicators that should be assessed regularly and combined with signposts and trigger values at the subsector level.
Decarbonisation of energy systems requires deep structural change. The purpose of this research was to analyse the rates of change taking place in the energy systems of the European Union (EU), in the light of the EU's climate change mitigation objectives. Trends on indicators such as energy intensity and carbon intensity of energy were compared with decadal benchmarks derived from deep decarbonisation scenarios for the electricity, residential, transport, and industry sectors. The methodology applied provides a useful and informative approach to tracking decarbonisation of energy systems. The results show that the EU has made significant progress in decarbonising its energy systems. On a number of indicators assessed the results show that a significant acceleration from historical levels is required in order to reach the rates of change seen on the future benchmarks for deep decarbonisation. The methodology applied provides an example of how the research community and international organisations could complement the transparency mechanism developed by the Paris Agreement on climate change, to improve understanding of progress toward low-carbon energy systems.
As part of this dissertation, a categorisation of the social costs of electricity supply is suggested. The following three main cost categories are differentiated: plant-level costs, system costs and external costs. Different types of costs are allocated to these categories and are examined and quantified (to the extent possible) for several power generation technologies. The limits of monetizing certain types of costs are also discussed. In a further step, and based on a large number of empirical studies, individual factors that have had a significant influence on the development of plant-level costs in the past, are identified and categorized. Finally, based on an online survey conducted among energy modellers, the dissertation examines to what extent the identified relevant types of costs and cost-influencing factors are taken into account in different types of energy models.
Various electricity generation technologies using different primary energy sources are available. Many published studies compare the costs of these technologies. However, most of those studies only consider plant-level costs and do not fully take into account additional costs that societies may face in using these technologies. This article reviews the literature on the costs of electricity generation technologies, aiming to determine which types of costs are relevant from a societal point of view when comparing generation technologies. The paper categorises the relevant types of costs, differentiating between plant-level, system and external costs as the main categories. It discusses the relevance of each type of cost for each generation technology. The findings suggest that several low-carbon electricity generation technologies exhibit lower social costs per kWh than the currently dominant technologies using fossil fuels. More generally, the findings emphasise the importance of taking not only plant-level costs, but also system and external costs, into account when comparing electricity generation technologies from a societal point of view. The article intends to inform both policymakers and energy system modellers, the latter who may strive to include all relevant types of costs in their models.
Germany and Japan have both gained substantial experience with hydrogen production and applications, albeit with focus on different sectors. They also share similar drivers for hydrogen development and, of course, similar technical and economic opportunities and challenges. However, there also are relevant differences in the policy priorities and approaches.
Notwithstanding differing emphases and patterns, the two countries share three main drivers for hydrogen development and deployment: climate mitigation and other environmental goals, energy supply diversification, and technological leadership. In this context, hydrogen has been identified by the German and the Japanese governments during the Energy Policy Dialogue as having potential for closer cooperation.
The authors of this study provide an overview of demand-side deployment by sector (residential, transport, industry, power generation and power-to-x) for both countries, as well as of their hydrogen policy debates, key institutions, R&D programs and demonstration projects. They also present a short survey on relevant international platforms and initiatives in which Japan and Germany participate.
On the basis of a meta-analysis of the role of hydrogen in 18 long-term energy system scenarios for Germany and 12 scenarios for Japan, this study draws conclusions on the possible role of hydrogen in the long term energy policy debates of both countries. Subsequently, the authors discuss sustainability criteria and certification schemes for clean hydrogen, compare the greenhouse gas intensity of different hydrogen supply chains and provide a data-based analysis to identify countries which could become important suppliers of clean hydrogen.
To combat climate change, it is anticipated that in the coming years countries around the world will adopt more stringent policies to reduce greenhouse gas emissions and increase the use of clean energy sources. These policies will also affect the industry sector, which means that industrial production is likely to progressively shift from CO2-emitting fossil fuel sources to renewable energy sources. As a result, a region's renewable energy resources could become an increasingly important factor in determining where energy-intensive industries locate their production. We refer to this pull factor as the "renewables pull" effect. Renewables pull could lead to the relocation of some industrial production as a consequence of regional differences in the marginal cost of renewable energy sources. In this paper, we introduce the concept of renewables pull and explain why its importance is likely to increase in the future. Using the examples of direct reduced iron (DRI) and ammonia production, we find that the future costs of climate-neutral production of certain products is likely to vary considerably between regions with different renewable energy resources. However, we also identify the fact that many other factors in addition to energy costs determine the decisions that companies make in term of location, leaving room for further research to better understand the future relevance of renewables pull.
International consensus is growing that a transition towards a low carbon society (LCS) is needed over the next 40 years. The G8, the Major Economies Forum on Energy and Climate, as well as the Ad Hoc Working Group on Long-term Cooperative Action under the United Nations Framework Convention on Climate Change, have concluded that states should prepare their own Low-emission Plans or Low-emission Development Plans and such plans are in development in an increasing number of countries.
An analysis of recent long-term low emission scenarios for Germany shows that all scenarios rely heavily on a massive scale up of energy efficiency improvements based on past trends. However, in spite of the high potential that scenario developers assign to this strategy, huge uncertainty still exists in respect of where the efficiency potentials really lie, how and if they can be achieved and how much their successful implementation depends on more fundamental changes towards a more sustainable society (e.g. behavioural changes).
In order to come to a better understanding of this issue we specifically examine the potential for energy efficiency in relation to particular demand sectors. Our comparative analysis shows that despite general agreement about the high importance of energy efficiency (EE), the perception on where and how to achieve it differ between the analysed scenarios. It also shows that the close nexus between energy efficiency and non-technical behavioural aspects is still little understood. This leads us to the conclusion that in order to support energy policy decisions more research should be done on energy efficiency potential. A better understanding of its potential would help energy efficiency to fulfil its role in the transition towards a LCS.
The experience curve theory assumes that technology costs decline as experience of a technology is gained through production and use. This article reviews the literature on the experience curve theory and its empirical evidence in the field of electricity generation technologies. Differences in the characteristics of experience curves found in the literature are systematically presented and the limitations of the experience curve theory, as well as its use in energy models, are discussed. The article finds that for some electricity generation technologies, especially small-scale modular technologies, there has been a remarkably strong (negative) relationship between experience and cost for several decades. Conversely, for other technologies, especially large-scale and highly complex technologies, the experience curve does not appear to be a useful tool for explaining cost changes over time. The literature review suggests that when analysing past cost developments and projecting future cost developments, researchers should be aware that factors other than experience may have significant influence. It may be worthwhile trying to incorporate some of these additional factors into energy system models, although considerable uncertainties remain in quantifying the relevance of some of these factors.
Several low-carbon energy roadmaps and scenarios have recently been published by the European Commission and the International Energy Agency (IEA) as well as by various stakeholders such as Eurelectric, ECF and Greenpeace. Discussions of these studies mainly focus on technology options available on the electricity supply side and mostly omit the significant challenges that all of the scenarios impose on the energy demand side.
A comparison of 5 decarbonisation scenarios from 4 of the most relevant recent scenario studies for the EU shows that all of them imply significant efficiency improvements in traditional appliances, usually well above levels historically observed over longer periods of time. At the same time they assume substantial electrification of transportation and heating. The scenarios suggest that both of these challenges need to be tackled successfully for decarbonising the energy system.
With shares of renewable electricity reaching at least 60 % of supply in 2050 in almost all of the decarbonisation scenarios, the adaptation of demand to variable supply becomes increasingly important. This aspect of demand side management should therefore be part of any policy mix aiming for a low-carbon power system.
Based on a quantitative analysis of 5 decarbonisation scenarios and a comparison with historical evidence we derive the (implicit) new challenges posed by the current low-carbon roadmaps and develop recommendations for energy policy on the electricity demand side.