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The development of digital technologies is accelerating, enabling increasingly profound changes in increasingly short time periods. The changes affect almost all areas of the economy as well as society. The energy sector has already seen some effects of digitalization, but more drastic changes are expected in the next decades. Besides the very positive impacts on costs, system stability, and environmental effects, potential obstacles and risks need to be addressed to ensure that advantages can be exploited while adverse effects are avoided. A good understanding of available and future digital applications from different stakeholders' perspectives is necessary. This study proposes a framework for the holistic evaluation of digital applications in the energy sector. The framework consists of a combination of well-established methods, namely the multi-criteria analysis (MCA), the life cycle assessment (LCA), and expert interviews. The objective is to create transparency on benefits, obstacles, and risks as a basis for societal and political discussions and to supply the necessary information for the sustainable development and implementation of digital applications. The novelty of the proposed framework is the specific combination of the three methods and its setup to enable sound applicability to the wide variety of digital applications in the energy sector. The framework is tested subsequently on the example of the German smart meter roll-out. The results reveal that, on the one hand, the smart meter roll-out clearly offers the potential to increase the system stability and decrease the carbon emission intensity of the energy system. Therefore, the overall evaluation from an environmental perspective is positive. However, on the other hand, close attention needs to be paid to the required implementation and operational effort, the IT (information technology) and data security, the added value for the user, the social acceptance, and the realization of energy savings. Therefore, the energy utility perspective in particular results in an overall negative evaluation. Several areas with a need for action are identified. Overall, the proposed framework proves to be suitable for the holistic evaluation of this digital application.
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.
In the Paris Accord to the UN Climate Change Conference COP21 in 2015, the international community agreed to "make every effort" to reach a significant reduction in greenhouse gas (GHG) emissions and to limit global average temperature rise to preferably 1.5°C by 2100 (UNFCC 2018). A transition to a climate-friendly energy supply, however, would come largely at the expense of coal - a fossil fuel with large global reserves that are also widely dispersed regionally. Therefore, especially since the turn of the millennium, the question has been raised as to how coal could be used in a climate-friendly way in the future. So far, the only way to do this is to apply CCS technology or CCU. CCS involves the capture of carbon dioxide (CO2) emissions from fossil fuel-fired power plants or industrial sources and its storage underground, such as in deep saline aquifers or in depleted oil and natural gas fields, or their use for enhanced oil or gas recovery (EOR/EGR). When carbon capture and utilisation (CCU) is applied, the CO2 is further used, for example as feedstock for the production of durable plastics. Due to the relatively low potential of CCU compared to CCS (IPCC 2005), only CCS is considered in this thesis.
The majority of studies and roadmaps have discussed CCS as a technology option that could make a significant contribution to achieving the objective of decreasing GHG emissions for many years (IPCC 2014a, 2018). Particularly in the power sector, however, these expectations have not yet been met. As of November 2019, worldwide only two small base-load power plants, capturing a total of 2.4 Mt CO2/year and mainly using it for EOR, are in operation, together with a few pilots in industrial applications and, in particular, natural gas processing (in total 30 Mt CO2/year) (Global CCS Institute 2019).
Early on, it became clear that the predicted high deployment targets and their underlying studies should be critically questioned for various reasons. Particularly due to the lack of a systems-analytical evaluation of this technology (which was relatively new at the time), no reliable answers could be given about the ecological, economic, social and structural effects of its large-scale application. Such analyses are, however, a pre-condition for comprehensively classifying the contribution of a new technology as a promising option for a sustainable energy supply system and assessing it in comparison to other technologies.
To address these challenges, several studies, most of which initiated by the author, were conducted on this topic between 2004 and 2018. The resulting papers became the basis for this thesis.
Water availability plays an important role in the expansion planning of utility-scale solar power plants, especially in the arid regions of the Middle East and North Africa. Although these power plants usually account for only a small fraction of local water demand, competition for water resources between communities, farmers, companies, and power suppliers is already emerging and is likely to intensify in future. Despite this, to date there has been a lack of comprehensive studies analyzing interdependencies and potential conflicts between energy and water at local level. This study addresses this research gap and examines the linkages between water resources and energy technologies at local level based on a case study conducted in Ouarzazate, Morocco, where one of the largest solar power complexes in the world was recently completed. To better understand the challenges faced by the region in light of increased water demand and diminishing water supply, a mixed-method research design was applied to integrate the knowledge of local stakeholders through a series of workshops. In a first step, regional socio-economic water demand scenarios were developed and, in a second step, water saving measures to avoid critical development pathways were systematically evaluated using a participatory multi-criteria evaluation approach. The results are a set of water demand scenarios for the region and a preferential ranking of water saving measures that could be drawn upon to support decision-making relating to energy and water development in the region.
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.
The German Energiewende is a deliberate transformation of an established industrial economy towards a nearly CO2-free energy system accompanied by a phase out of nuclear energy. Its governance requires knowledge on how to steer the transition from the existing status quo to the target situation (transformation knowledge). The energy system is, however, a complex socio-technical system whose dynamics are influenced by behavioural and institutional aspects, which are badly represented by the dominant techno-economic scenario studies. In this paper, we therefore investigate and identify characteristics of model studies that make agent-based modelling supportive for the generation of transformation knowledge for the Energiewende. This is done by reflecting on the experiences gained from four different applications of agent-based models. In particular, we analyse whether the studies have improved our understanding of policies' impacts on the energy system, whether the knowledge derived is useful for practitioners, how valid understanding derived by the studies is, and whether the insights can be used beyond the initial case-studies. We conclude that agent-based modelling has a high potential to generate transformation knowledge, but that the design of projects in which the models are developed and used is of major importance to reap this potential. Well-informed and goal-oriented stakeholder involvement and a strong collaboration between data collection and model development are crucial.
Innerhalb des Projekts TFE-NRW bewertete das Wuppertal Institut den Forschungsbedarf für Energiewende-Technologien in Nordrhein-Westfalen. Ziel war es herauszufinden, welche Technologien und Forschungsbereiche im Rahmen der Energieforschung für Nordrhein-Westfalen (NRW) einen besonders hohen Stellenwert in Relation zur Bewertung für Deutschland haben könnten und für die eine besondere Unterstützung innerhalb der Energieforschung gerechtfertigt erscheint. Dabei sollten die speziellen Anforderungen des Bundeslandes berücksichtigt werden.
Betrachtet wurden 31 Technologiefelder aus den Bereichen erneuerbare Energien, konventionelle Kraftwerke, Infrastruktur, Technologien für die Sektorenkopplung (Power-to-X, P2X), energie- und ressourceneffiziente Gebäude, Energie- und Ressourceneffizienz in der Industrie und integrative Aspekte, die mithilfe eines Kriterienrasters qualitativ bewertet wurden.
Electricity generation requires water. With the global demand for electricity expected to increase significantly in the coming decades, the water demand in the power sector is also expected to rise. However, due to the ongoing global energy transition, the future structure of the power supply - and hence future water demand for power generation - is subject to high levels of uncertainty, because the volume of water required for electricity generation varies significantly depending on both the generation technology and the cooling system. This study shows the implications of ambitious decarbonization strategies for the direct water demand for electricity generation. To this end, water demand scenarios for the electricity sector are developed based on selected global energy scenario studies to systematically analyze the impact up to 2040. The results show that different decarbonization strategies for the electricity sector can lead to a huge variation in water needs. Reducing greenhouse gas emissions (GHG) does not necessarily lead to a reduction in water demand. These findings emphasize the need to take into account not only GHG emission reductions, but also such aspects as water requirements of future energy systems, both at the regional and global levels, in order to achieve a sustainable energy transition.
Als Direct Air Capture (DAC) werden Technologien zur Abscheidung von Kohlendioxid aus der Atmosphäre bezeichnet. Diese könnten zunehmend zum Einsatz kommen, um CO2 für Power-to-X-Prozesse (PtX) oder zur Erzielung "negativer Emissionen" bereitzustellen. Die Ergebnisse einer multidimensionalen Bewertung im Rahmen der BMWi-Studie "Technologien für die Energiewende" (et 09/2018) zeigen, dass noch große Unsicherheiten bestehen und die Entwicklung überwiegend an Deutschland vorbeigeht.
A significant reduction in greenhouse gas emissions will be necessary in the coming decades to enable the global community to avoid the most dangerous consequences of man-made global warming. This fact is reflected in Germany's 7th Federal Energy Research Program (EFP), which was adopted in 2018. Direct Air Capture (DAC) technologies used to absorb carbon dioxide (CO2) from the atmosphere comprise one way to achieve these reductions in greenhouse gases. DAC has been identified as a technology (group) for which there are still major technology gaps. The intention of this article is to explore the potential role of DAC for the EFP by using a multi-dimensional analysis showing the technology's possible contributions to the German government's energy and climate policy goals and to German industry's global reputation in the field of modern energy technologies, as well as the possibilities of integrating DAC into the existing energy system. The results show that the future role of DAC is affected by a variety of uncertainty factors. The technology is still in an early stage of development and has yet to prove its large-scale technical feasibility, as well as its economic viability. The results of the multi-dimensional evaluation, as well as the need for further technological development, integrated assessment, and systems-level analyses, justify the inclusion of DAC technology in national energy research programs like the EFP.