Zukünftige Energie- und Industriesysteme
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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.
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 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.
Organic waste to energy (OWtE) technologies have been developed and implemented in Latin America and the Caribbean (LAC) countries. However, they are still far away to significantly contribute not only to treat the ever-increasing waste volumes in the region but also to supply the regional energy demand and meet national carbon emission goals. The technical complexity of these technologies aligned with lack of research, high investment costs and political deficiencies have not allowed for an appropriate implementation of OWtE in the region, where the applicability of large-scale plants remains to be demonstrated. This research presents the state-of-the art of OWtE technologies in the context of the LAC countries based on archival research method. In addition, it presents challenges and opportunities that the region is facing for an adequate implementation of these technologies. The main findings show that OWtE have the potential to improve waste and energy systems in the region by reducing environmental impacts along with a series of social and economic benefits, such as increasing access to a sustainable energy supply. Diverse researches indicate principally anaerobic digestion, fermentation (e.g. 2G bioethanol, etc.), microbial fuel cells, gasification and pyrolysis as efficient technologies to treat solid organic wastes and produce bioenergy.
Industrial demand response can play an important part in balancing the intermittent production from a growing share of renewable energies in electricity markets. This paper analyses the role of aggregators - intermediaries between participants and power markets - in facilitating industrial demand response. Based on the results from semi-structured interviews with German demand response aggregators, as well as a wider stakeholder online survey, we examine the role of aggregators in overcoming barriers to industrial demand response. We find that a central role for aggregators is to raise awareness for the potentials of demand response, as well as to support implementation by engaging key actors in industrial companies. Moreover, we develop a taxonomy that helps analyse how the different functional roles of aggregators create economic value. We find that there is considerable heterogeneity in the kind of services that aggregators offer, many of which do create significant economic value. However, some of the functional roles that aggregators currently fill may become obsolete once market barriers to demand response are reduced or knowledge on demand response becomes more diffused.
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.
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.
Participatory modeling - the involvement of stakeholders in the modeling process - can support various objectives, such as stimulating learning processes or promoting mutual understanding of stakeholders. Participatory modeling approaches could therefore be useful for the governance of transitions, but a systematic account of potential application areas of participatory modeling methods in transition governance is still lacking. This article addresses this gap by providing a review of participatory modeling methods and linking them to phases and objectives of transition governance. We reviewed participatory modeling studies in transition research and related fields of social-ecological modeling, integrated assessment and environmental management. We find that participatory modeling methods are mostly used for participatory visioning and goal setting as well as for interactive strategy development. The review shows the potential for extending the application of participatory modeling methods to additional phases of transition governance and for the exchange of experiences between research fields.