Zukünftige Energie- und Industriesysteme
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In recent years, most countries in the Middle East and North Africa (MENA), including Jordan, Morocco and Tunisia, have rolled out national policies with the goal of decarbonising their economies. Energy policy goals in these countries have been characterised by expanding the deployment of renewable energy technologies in the electricity mix in the medium term (i.e., until 2030). This tacitly signals a transformation of socio-technical systems by 2030 and beyond. Nevertheless, how these policy objectives actually translate into future scenarios that can also take into account a long-term perspective up to 2050 and correspond to local preferences remains largely understudied. This paper aims to fill this gap by identifying the most widely preferred long-term electricity scenarios for Jordan, Morocco and Tunisia. During a series of two-day workshops (one in each country), the research team, along with local stakeholders, adopted a participatory approach to develop multiple 2050 electricity scenarios, which enabled electricity pathways to be modelled using Renewable Energy Pathway Simulation System GIS (renpassG!S). We subsequently used the Analytical Hierarchy Process (AHP) within a Multi-Criteria Analysis (MCA) to capture local preferences. The empirical findings show that local stakeholders in all three countries preferred electricity scenarios mainly or even exclusively based on renewables. The findings demonstrate a clear preference for renewable energies and show that useful insights can be generated using participatory approaches to energy planning.
German energy transition : targets, current status, chances and challenges of an ambitious pathway
(2019)
With the "Energiewende", the German term for the transformation of the national energy system, the German government pursues ambitious goals, primarily but not only to reflect the climate change challenge and to react to the risks associated with the use of nuclear power plants. After launching the energy concept in mid-2011, which describes the "Energiewende" goals, Germany was perceived as an international pioneer in energy transition for many years and has been acknowledged for its braveness to combine ambitious greenhouse gas (GHG) mitigation targets with a phase out program for nuclear power plants. In this context, this article asks where Germany’s energy transition currently stands, what is planned next and how far the set targets have been achieved or where more action is required to stick to this pathway.
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.
Phasing out coal in the German energy sector : interdependencies, challenges and potential solutions
(2019)
Relevant aspects of the options and requirements for reducing and phasing out coal-fired power generation have been under debate for several years. This process has produced a range of strategies, analyses and arguments, outlining how coal use in the energy sector could be reduced and phased out in the planned time frame, and determining structural policy measures suitable to support this. This Coal Report studies the existing analyses and provides an overview of the state of debate. It is intended to provide information on facts and contexts, present the advantages and disadvantages of individual courses of action, and reveal the respective scientific backgrounds. It strives to take a scientific and independent approach, and present facts in concise language, making it easy to follow for readers who are not experts in the field, without excessive abridgements or provocative statements.
Urban energy systems have been commonly considered to be socio-technical systems within the boundaries of an urban area. However, recent literature challenges this notion in that it urges researchers to look at the wider interactions and influences of urban energy systems wherein the socio-technical sphere is expanded to political, environmental and economic realms as well. In addition to the inter-sectoral linkages, the diverse agents and multilevel governance trends of energy sustainability in the dynamic environment of cities make the urban energy landscape a complex one. There is a strong case then for establishing a new conceptualisation of urban energy systems that builds upon these contemporary understandings of such systems. We argue that the complex systems approach can be suitable for this. In this paper, we propose a pilot framework for understanding urban energy systems using complex systems theory as an integrating plane. We review the multiple streams of urban energy literature to identify the contemporary discussions and construct this framework that can serve as a common ontological understanding for the different scholarships studying urban energy systems. We conclude the paper by highlighting the ways in which the framework can serve some of the relevant communities.
For some time, 3D printing has been a major buzzword of innovation in industrial production. It was considered a game changer concerning the way industrial goods are produced. There were early expectations that it might reduce the material, energy and transport intensity of value chains. However for quite a while, the main real world applications of additive manufacturing (AM) have been some rapid prototyping and the home-based production of toys made from plastics. On this limited basis, any hypotheses regarding likely impacts on industrial energy efficiency appeared to be premature. Notwithstanding the stark contrast between early hype and practical use, the diffusion of AM has evolved to an extent that at least for some applications allows for a preliminary assessment of its likely implications for energy efficiency.
Unlike many cross-cutting energy efficiency technologies, energy use of AM may vary substantially depending on industry considered and material used for processing. Moreover, AM may have much greater repercussions on other stages of value chains than conventional cross-cutting energy efficiency technologies. In case of AM with metals the following potential determinants of energy efficiency come to mind:
- A reduction of material required per unit of product and used during processing;
- Changes in the total number and spatial allocation of certain stages of the value chain; and
- End-use energy efficiency of final products.
At the same time, these various streams of impact on energy efficiency may be important drivers for the diffusion of AM with metals. This contribution takes stock of AM with metals concerning applications and processes used as well as early evidence on impacts on energy efficiency and combine this into a systematic overview. It builds on relevant literature and a case study on Wire Arc Additive Manufacturing performed within the REINVENT project.
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.
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.
The paper describes quantitative scenarios on a possible evolution of the EU petrochemical industry towards climate neutrality. This industry will be one of the remaining sectors in a climate neutral economy still handling hydrocarbon material to manufacture polymers. Concepts of a climate neutral chemical industry stress the need to consider the potential end-of-life emissions of polymers produced from fossil feedstock and draft the vision of using renewable electricity to produce hydrogen and to use renewable (hydro)carbon feedstock. The latter could be biomass, CO2 from the air or recycled feedstock from plastic waste streams.
The cost-optimization model used to develop the scenarios describes at which sites investments of industry in the production stock could take place in the future. Around 50 types of products, the related production processes and the respective sites have been collected in a database. The processes included cover the production chain from platform chemicals via intermediates to polymers. Pipelines allowing for efficient exchange of feedstock and platform chemicals between sites are taken into account as well. The model draws on this data to simulate capacity change at individual plants as well as plant utilization. Thus, a future European production network for petrochemicals with flows between the different sites and steps of the value chain can be sketched.
The scenarios described in this paper reveal how an electrification strategy could be implemented by European industry over time with minimized societal costs. Today's existing assets as well as geographical variance of energy supply and the development of demand for different plastic sorts are the major model drivers.
Finally, implications for the chemical industry, the energy system and national or regional governments are discussed.