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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.
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.
Die sog. Klimapfadestudie und ihre Szenarien haben in der Öffentlichkeit ein breites Echo gefunden, nicht zuletzt weil der BDI damit erstmals eine eigene detaillierte Untersuchung der Machbarkeit der deutschen Klimaschutzziele vorlegt und offensiv in die Diskussionen um die langfristige Transformation des Energiesystems einsteigt. Während der BDI in der Mai-Ausgabe der "et" bereits wesentliche Ergebnisse vorgestellt hat, werden die Szenarien der Studie in diesem Artikel mit anderen vorliegenden Klimaschutzszenarien verglichen.
Unter den Stichworten "Sektorenkopplung" und "Power-to-X" werden derzeit viele Möglichkeiten der direkten und indirekten Elektrifizierung großer Teile der Endenergienachfrage intensiv diskutiert. In diesem Zusammenhang hat die Diskussion um Wasserstoff als Endenergieträger sowie als Feedstock für die Herstellung von synthetischen Kraftstoffen und chemischen Grundstoffen zuletzt stark an Bedeutung gewonnen. Insbesondere der klimaneutrale Umbau der Grundstoffindustrien und hier vor allem der Grundstoffchemie und der Stahlindustrie würde bedeutende Mengen an grünem Wasserstoff benötigen, die räumlich stark auf die großen Industriekerne fokussiert wären. Ein zeitnaher Einstieg in die Schaffung entsprechender Erzeugungskapazitäten und Infrastrukturen könnte dazu führen, dass Wasserstoff - neben erneuerbaren Energien und Energieeffizienz - zum dritten Standbein der Energiewende avanciert.
The Paris Agreement introduces long-term strategies as an instrument to inform progressively more ambitious emission reduction objectives, while holding development goals paramount in the context of national circumstances. In the lead up to the twenty-first Conference of the Parties, the Deep Decarbonization Pathways Project developed mid-century low-emission pathways for 16 countries, based on an innovative pathway design framework. In this Perspective, we describe this framework and show how it can support the development of sectorally and technologically detailed, policy-relevant and country-driven strategies consistent with the Paris Agreement climate goal. We also discuss how this framework can be used to engage stakeholder input and buy-in; design implementation policy packages; reveal necessary technological, financial and institutional enabling conditions; and support global stocktaking and increasing of ambition.
The Port of Rotterdam is an important industrial cluster, comprising mainly oil refining, chemical production and power generation. In 2016, the port's industry accounted for 19% of the Netherlands' total CO2 emissions. The Port of Rotterdam Authority is aware that the cluster is heavily exposed to future decarbonisation policies, as most of its activities focus on trading, handling, converting and using fossil fuels. Based on a study for the Port Authority using a mixture of qualitative and quantitative methods, our article explores three pathways whereby the port's industry can maintain its strong position while significantly reducing its CO2 emissions and related risks by 2050. The pathways differ in terms of the EU's assumed climate change mitigation ambitions and the key technological choices made by the cluster's companies. The focus of the paper is on identifying key risks associated with each scenario and ways in which these could be mitigated.
Das Ziel der Klimaneutralität ist eine große Herausforderung, insbesondere für die Industrie. Dieser Artikel analysiert und vergleicht verschiedene Strategien zur Transformation des Industriesektors, wie sie in aktuellen deutschen, europäischen und globalen Klimaschutzszenarien beschrieben werden. Zunächst werden zehn Schlüsselstrategien für weitgehende Treibhausgasemissionsreduktionen im Industriesektor identifiziert. Anschließend wird in einer Szenario-Metaanalyse untersucht, in welchem Maße verschiedene Szenarien jeweils auf die einzelnen Strategien setzen. Dabei zeigt sich, dass es zwischen den Szenarien teilweise erhebliche Unterschiede bezüglich der verfolgten Strategien gibt.
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.
We conduct a systematic, interdisciplinary review of empirical literature assessing evidence on induced innovation in energy and related technologies. We explore links between demand-drivers (both market-wide and targeted); indicators of innovation (principally, patents); and outcomes (cost reduction, efficiency, and multi-sector/macro consequences). We build on existing reviews in different fields and assess over 200 papers containing original data analysis. Papers linking drivers to patents, and indicators of cumulative capacity to cost reductions (experience curves), dominate the literature. The former does not directly link patents to outcomes; the latter does not directly test for the causal impact of on cost reductions). Diverse other literatures provide additional evidence concerning the links between deployment, innovation activities, and outcomes. We derive three main conclusions. (1) Demand-pull forces enhance patenting; econometric studies find positive impacts in industry, electricity and transport sectors in all but a few specific cases. This applies to all drivers - general energy prices, carbon prices, and targeted interventions that build markets. (2) Technology costs decline with cumulative investment for almost every technology studied across all time periods, when controlled for other factors. Numerous lines of evidence point to dominant causality from at-scale deployment (prior to self-sustaining diffusion) to cost reduction in this relationship. (3) Overall Innovation is cumulative, multi-faceted, and self-reinforcing in its direction (path-dependent). We conclude with brief observations on implications for modeling and policy. In interpreting these results, we suggest distinguishing the economics of active deployment, from more passive diffusion processes, and draw the following implications. There is a role for policy diversity and experimentation, with evaluation of potential gains from innovation in the broadest sense. Consequently, endogenising innovation in large-scale models is important for deriving policy-relevant conclusions. Finally, seeking to relate quantitative economic evaluation to the qualitative socio-technical transitions literatures could be a fruitful area for future research.
Damit sich die weltweit zunehmend ambitionierten Klimaschutzziele erreichen lassen, müssen auch im Industriesektor weitgehende Emissionsreduktionen innerhalb weniger Jahrzehnte realisiert werden. Expertinnen und Experten sind sich einig, dass dies nicht ohne den Umstieg von fossilen auf erneuerbare Energieträger und Rohmaterialien - sogenannte Feedstocks - umsetzbar ist. Im Zuge der verstärkten Nutzung dieser grünen Energieträger ist denkbar, dass sich deren Verfügbarkeit und Kosten zu immer wichtigeren Standortfaktoren für die Produktion industrieller Güter entwickeln werden. Dies könnte dazu führen, dass zukünftig Standorte mit kostengünstiger Verfügbarkeit von erneuerbaren Energien attraktiver gegenüber anderen Standorten werden und es dann zu Standortverlagerungen kommt - insbesondere im Bereich der energieintensiven Industrie.
In dem vorliegenden Artikel greifen die Autoren diese möglichen Verlagerungen industrieller Produktion auf. In diesem Zusammenhang führen sie auch den Begriff "Renewables Pull" ein. Die in bestimmten Regionen der Welt kostengünstig und in großen Mengen verfügbaren erneuerbaren Energien könnten nach Ansicht der Autoren künftig eine Sogwirkung auslösen und bestimmte Teile der industriellen Produktion anziehen - auch Pull-Effekt genannt.