Zukünftige Energie- und Industriesysteme
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Schon seit dem 19. Jahrhundert gilt Wasserstoff als Basis einer nachhaltigen Energiezukunft. Auch wenn sich noch keine kommerzielle Nutzung etabliert hat, sind Wasserstofftechnologien in den vergangenen Jahren deutlich weiterentwickelt worden. In Zusammenarbeit mit dem Wuppertal Institut hat Shell untersucht, welchen Beitrag Wasserstoff zu einer nachhaltigen Energieversorgung - vor allem im Verkehr - künftig leisten kann.
We present an approach to simulate climate and energy policy for the EU, using a flexible and modular agent-based modelling approach and a toolbox, called the Energy Modelling Laboratory (EMLab). The paper shortly reviews core challenges and approaches for modelling climate and energy policy in light of the energy transition. Afterwards, we present an agent-based model of investment in power generation that has addressed a variety of European energy policy questions. We describe the development of a flexible model core as well as modules on carbon and renewables policies, capacity mechanisms, investment behaviour and representation of intermittent renewables. We present an overview of modelling results, ongoing projects, a case study on current reforms of the EU ETS, and we show their relevance in the EU context.
"Energiewende", which roughly translates as the transformation of the German energy sector in accordance with the imperatives of climate change, may soon become a byword for the corresponding processes most other developed countries are at various stages of undergoing. Germany's notable progress in this area offers valuable insights that other states can draw on in implementing their own transitions. The German state of North Rhine-Westphalia (NRW) is making its own contribution to achieving the Energiewende's ambitious objectives: in addition to funding an array of "clean and green" projects, the Virtual Institute Power to Gas and Heat was established as a consortium of seven scientific and technical organizations whose aim is to inscribe a future, renewable-based German energy system with adequate flexibility. Thus, it is tasked with conceiving of and evaluating suitable energy path options. This paper outlines one of the most promising of these pathways, which is predicated on the use of electrolytically-produced hydrogen as an energy storage medium, as well as the replacement of hydrocarbon-based fuel for most road vehicles. We describe and evaluate this path and place it in a systemic context, outlining a case study from which other countries and federated jurisdictions therein may draw inspiration.
Simulation modeling is useful to understand the mechanisms of the diffusion of innovations, which can be used for forecasting the future of innovations. This study aims to make the identification of such mechanisms less costly in time and labor. We present an approach that automates the generation of diffusion models by: (1) preprocessing of empirical data on the diffusion of a specific innovation, taken out by the user; (2) testing variations of agent-based models for their capability of explaining the data; (3) assessing interventions for their potential to influence the spreading of the innovation. We present a working software implementation of this procedure and apply it to the diffusion of water-saving showerheads. The presented procedure successfully generated simulation models that explained diffusion data. This progresses agent-based modeling methodologically by enabling detailed modeling at relative simplicity for users. This widens the circle of persons that can use simulation to shape innovation.
Feedback devices can be used to inform households about their energy-consumption behavior. This may persuade them to practice energy conservation. The use of feedback devices can also - via word of mouth - spread among households and thereby support the spread of the incentivized behavior, e.g. energy-efficient heating behavior. This study investigates how to manage the impact of these environmental innovations via marketing. Marketing activities can support the diffusion of devices. This study aims to identify the most effective strategies of marketing feedback devices. We did this by adapting an agent-based model to simulate the roll-out of a novel feedback technology and heating behavior within households in a virtual city. The most promising marketing strategies were simulated and their impacts were analyzed. We found it particularly effective to lend out feedback devices to consumers, followed by leveraging the social influence of well-connected individuals, and giving away the first few feedback devices for free. Making households aware of the possibility of purchasing feedback devices was found to be least effective. However, making households aware proved to be most cost-efficient. This study shows that actively managing the roll-out of feedback devices can increase their impacts on energy-conservation both effectively and cost-efficiently.
In October 2014, the European Council agreed on a target of improving overall energy efficiency by at least 27 per cent by 2030. According to the European Council's conclusions, this target should not be translated into nationally binding targets. Nevertheless individual Member States are free to set higher national objectives if desired. However, it is difficult to assess the degree of ambition of a national target because so far not much light has been shed upon the exact size of the untapped efficiency potentials.
This paper provides an in-depth analysis and comparison of existing studies on energy efficiency potentials in the European Union's (EU) Member States by 2030. It includes a structured overview of the results, information on the quality of the available data and suggestions for improvement.
The review shows that comprehensive studies on national energy efficiency potentials are rare and hardly comparable. The existing studies agree on the existence of significant potentials for energy efficiency. Their outcomes, however, vary significantly in terms of national levels. Assuming low policy intensity, energy savings between 10 and 28 per cent could be realised by 2030 compared to a baseline development, in the case of high policy intensity 7-44 per cent. Technical energy efficiency potentials in the different EU Member States are estimated at 14-52 per cent. On average, energy savings of 27 per cent by 2030 appear to be feasible with significant policy effort. We conclude that the deviation in Member States' energy efficiency potentials resulting from different studies represents an indication of the so far poor quality of underlying data. In order to allow for a concretisation of efficiency potential estimates, the comparability and detail of information sources should be improved.
In order to analyse the mid- and long-term impacts of energy related policies, different modelling approaches can be derived. However, the results of even the best energy system model will highly depend on the underlying input data. First, in this contribution the importance and availability issues of grid data in the context of energy system modelling are highlighted. Second, this paper focuses on power grid modelling based on open and publicly available data from OpenStreetMap using open source software tools. Two recent approaches developed to build electrical transmission network models using openly available data sources are presented and discussed. The proposed methods provide transparent assumptions, simplifications and documentation of grid modelling. This results in the ability of scientists and other stakeholders to validate, discuss or reproduce the results of energy system models. Thus the new open approaches offer a unique opportunity to increase transparency, comparability and reproducibility of results in energy system modelling.
The contribution of the EU bioeconomy to sustainable development depends on how it is implemented. A high innovation potential is accompanied by considerable risks, in particular regarding the exacerbation of global land use conflicts. This article argues that a systemic monitoring system capable of connecting human-environment interactions and multiple scales of analysis in a dynamic way is needed to ensure that the EU bioeconomy transition meets overarching goals, like the Sustainable Development Goals. The monitoring should be centered around a dashboard of key indicators and targets covering environmental, economic, and social aspects of the bioeconomy. With a focus on the land dimension, this article examines the strengths and weakness of different economic, environmental and integrated models and methods for monitoring and forecasting the development of the EU bioeconomy. The state of research on key indicators and targets, as well as research needs to integrate these aspects into existing modeling approaches, are assessed. The article concludes with key criteria for a systemic bioeconomy monitoring system.
Accelerating the diffusion of domestic biogas is considered to be a promising option for reaching the goal of universal access to energy by 2030, particularly for the provision of cooking energy for rural populations in developing countries. The aim of this study is to develop a systematic account of the factors that influence the diffusion of domestic biogas technologies. To achieve this objective, a three step analysis approach is applied. In the first step, a conceptual model is built based on insights from scholars that have been studying the diffusion of energy innovations in rural contexts. In the next step, a qualitative content analysis of scientific literature is undertaken to test and refine the categories proposed by the conceptual model and to systematically organise the empirical evidence of the factors that influence the diffusion of domestic biogas in developing and emerging countries. The systemised evidence is used to identify the components and interactions between the household configurations and socio-economic context that determine both the adoption process at household level and the overall technology diffusion. Finally, in the last step, we reflect on the implications of the resultant systematic conceptualisation regarding the purpose and design of programmes promoting the dissemination of domestic biogas technologies.