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The Paris Agreement calls on all nations to pursue efforts to contribute to limiting the global temperature increase to 1.5 °C above pre-industrial levels. However, due to limited global, regional and country-specific analysis of highly ambitious GHG mitigation pathways, there is currently a lack of knowledge about the transformational changes needed in the coming decades to reach this target. Through a meta-analysis of mitigation scenarios for Germany, this article aims to contribute to an improved understanding of the changes needed in the energy system of an industrialized country. Differentiation among six key long-term energy system decarbonization strategies is suggested, and an analysis is presented of how these strategies will be pursued until 2050 in selected technologically detailed energy scenarios for Germany. The findings show, that certain strategies, including the widespread use of electricity-derived synthetic fuels in end-use sectors as well as behavioral changes, are typically applied to a greater extent in mitigation scenarios aiming at high GHG emission reductions compared to more moderate mitigation scenarios. The analysis also highlights that the pace of historical changes observed in Germany between 2000 and 2015 is clearly insufficient to adequately contribute to not only the 1.5 °C target, but also the 2 °C long-term global target.
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.
Wind energy that can neither be fed into the grid nor be used regionally must be curtailed. This paper proposes different options to deal with such surplus wind energy amounts in a time horizon until 2020. It assesses their ability to handle the surplus energy in a sustainable way using a multi criteria analysis. The paper bases on a study that was prepared for the Ministry for Climate Protection, Environment, Agriculture, Nature Conservation and Consumer Protection of North Rhine-Westphalia between 2010 and 2012.
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.
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.
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.
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.
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).
The Port of Rotterdam is an important industrial cluster mainly comprising of oil refining, chemical manufacturing and power and steam generation. In 2015, the area accounted for 18 % of the Netherlands' total CO2 emissions. The Port of Rotterdam Authority is aware that the port's economy is heavily exposed to future global and EU decarbonization policies, as the bulk of its activities focuses on trading, handling, converting and using fossil fuels. Based on a study for the Port Authority, our paper explores possible pathways of how the industrial cluster can keep its strong market position in Europe and still reduce its CO2 emissions by 98 % by 2050. The "Biomass and CCS" scenario assumes that large amounts of biomass can be supplied sustainably and will be used in the port for power generation as well as for feedstock for refineries and the chemical industry. Fischer-Tropsch fuel generation plays an important role in this scenario, allowing the port to become a key cluster for the production of synthetic fuels and feedstocks in Western Europe. The "Closed Carbon Cycle" scenario assumes that renewables-based electricity will be used at the port to supply heat and hydrogen for the synthetic generation of feedstock for the chemical industry. The carbon required for the chemicals will stem from recycled waste. Technologies particularly needed in this scenario are water electrolysis and gasification or pyrolysis to capture carbon from waste, as well as technologies for the production of base chemicals from syngas. The paper compares both scenarios with regard to their respective technological choices and infrastructural changes. The scenarios’ particular opportunities and challenges are also discussed. Using possible future pathways of a major European petrochemical cluster as an example, the paper illustrates options for deep decarbonisation of energy intensive industries in the EU and beyond.
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.