Zukünftige Energie- und Industriesysteme
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Access to clean and affordable modern energy services has been widely recognised as a significant factor for enabling social and economic development. Stand-alone systems and mini-grids are presumed to play an important role in the provision of sustainable energy to those people who currently lack access. Accordingly, an increasing number of small-scale energy projects are being implemented in developing countries and emerging economies. However, despite the large number of energy development projects, only limited evidence exists about the actual contribution they make to sustainable development. This paper addresses this research gap by providing a systematic assessment of three selected impact pathways based on the evaluation of over 30 small-scale sustainable energy projects. Applying a theory-based evaluation approach in the form of a contribution analysis, the aim of this research is to better understand if and how these types of technical interventions can create development outcomes and impacts. The results show that technological issues are often not the most decisive factor in achieving development effects, but that embedding the technology in a set of actions that address social, cultural, economic and environmental aspects is essential.
It is widely recognised that access to sustainable and affordable energy services is a crucial factor in reducing poverty and enhancing development. Accordingly, various positive effects beyond simple access to energy are associated with the implementation of sustainable energy projects. One of these assumed positive outcomes is the productive use of energy, which is expected to create value - for example in the form of increased local availability of goods or higher incomes - thereby having a positive impact on local livelihoods. Many projects and programmes are based on such expectations regarding the productive use of energy but systematic evidence of these outcomes and impacts is still limited. This study analyses the results of an impact evaluation of 30 small-scale energy development projects to better understand whether and how the supply of sustainable energy services supports productive use activities and whether these activities have the expected positive impacts on local livelihoods. A contribution analysis is applied to systematically evaluate the impact pathways for the productive use of energy. The results show that access to sustainable energy does not automatically result in productive activities and that energy is only one of the input factors required to foster socio-economic development. Furthermore, the results demonstrate that activities, materials and information to support the productive use of energy - such as training, equipment or market research - need to be an integrated part of the energy project itself to allow for productive activities to develop on a wider scale.
The water-energy-food (WEF) nexus is increasingly recognised as a conceptual framework able to support the efficient implementation of the Sustainable Development Goals (SDGs). Despite growing attention paid to the WEF nexus, the role that renewable energies can play in addressing trade-offs and realising synergies has received limited attention. Until now, the focus of WEF nexus discussions and applications has mainly been on national or global levels, macro-level drivers, material flows and large infrastructure developments. This overlooks the fact that major nexus challenges are faced at local level. Aiming to address these knowledge gaps, the authors conduct a systematic analysis of the linkages between small-scale energy projects in developing countries and the food and water aspects of development. The analysis is based on empirical data from continuous process and impact evaluations complemented by secondary data and relevant literature. The study provides initial insights into how to identify interconnections and the potential benefits of integrating the nexus pillars into local level projects in the global south. The study identifies the complex links which exist between sustainable energy projects and the food and water sectors and highlights that these needs are currently not systematically integrated into project design or project evaluation. A more systematic approach, integrating the water and food pillars into energy planning at local level in the global south, is recommended to avoid trade-offs and enhance the development outcomes and impacts of energy projects.
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.
For many years, carbon capture and storage (CCS) has been discussed as a technology that may make a significant contribution to achieving major reductions in greenhouse gas emissions. At present, however, only two large-scale power plants capture a total of 2.4 Mt CO2/a. Several reasons are identified for this mismatch between expectations and realised deployment. Applying bibliographic coupling, the research front of CCS, understood to be published peer-reviewed papers, is explored to scrutinise whether the current research is sufficient to meet these problems. The analysis reveals that research is dominated by technical research (69%). Only 31% of papers address non-technical issues, particularly exploring public perception, policy, and regulation, providing a broader view on CCS implementation on the regional or national level, or using assessment frameworks. This shows that the research is advancing and attempting to meet the outlined problems, which are mainly non-technology related. In addition to strengthening this research, the proportion of papers that adopt a holistic approach may be increased in a bid to meet the challenges involved in transforming a complex energy system. It may also be useful to include a broad variety of stakeholders in research so as to provide a more resilient development of CCS deployment strategies.
Transition modelling is an emerging but growing niche within the broader field of sustainability transitions research. The objective of this paper is to explore the characteristics of this niche in relation to a range of existing modelling approaches and literatures with which it shares commonalities or from which it could draw. We distil a number of key aspects we think a transitions model should be able to address, from a broadly acknowledged, empirical list of transition characteristics. We review some of the main strands in modelling of socio-technological change with regards to their ability to address these characteristics. These are: Eco-innovation literatures (energy-economy models and Integrated Assessment Models), evolutionary economics, complex systems models, computational social science simulations using agent based models, system dynamics models and socio-ecological systems models. The modelling approaches reviewed can address many of the features that differentiate sustainability transitions from other socio-economic dynamics or innovations. The most problematic features are the representation of qualitatively different system states and of the normative aspects of change. The comparison provides transition researchers with a starting point for their choice of a modelling approach, whose characteristics should correspond to the characteristics of the research question they face. A promising line of research is to develop innovative models of co-evolution of behaviours and technologies towards sustainability, involving change in the structure of the societal and technical systems.
There is significant potential for family farming to contribute to several dimensions of the Sustainable Development Goals adopted by the United Nations General Assembly in 2015. Our research aims to provide insights to help strengthen sustainable family farming. We focus on initiatives that have advanced sustainable family farming innovations in Colombia and analyse the factors and dynamics that have led to the limited penetration of those innovations across the country. To that aim, a transformative methodology is applied involving representatives of farmers' associations, supporting organisations and researchers from various disciplinary fields. We analyse the network of initiatives against the conceptual background of sociotechnical niches and identify a stable niche where generic lessons are being systematically identified and used to establish replication projects. However, this niche is still limited in its breadth, which results in a low capacity for expansion and a strong dependency on international donors for reproducing experiences. Specific recommendations are outlined for broadening the type of actors involved in the interpretation and dissemination of lessons from the niche. Moreover, we outline suggestions for further research and conceptualisation in two directions: for exploring effective ways of broadening the niche and translating niche lessons to state policies and for deepening the understanding of interactions between the niche and other levels.
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.
Energy system optimization models (ESOMs) such as MARKAL/TIMES are used to support energy policy analysis worldwide. ESOMs cover the full life-cycle of fuels from extraction to end-use, including the associated direct emissions. Nevertheless, the life-cycle emissions of energy equipment and infrastructure are not modelled explicitly. This prevents analysis of questions relating to the relative importance of emissions associated with the build-up of infrastructure and other equipment required for decarbonization.
New energy technologies may fail to make the transition to the market once research funding has ended due to a lack of private engagement to conclude their development. Extending public funding to cover such experimental developments could be one way to improve this transition. However, identifying promising research and development (R&D) proposals for this purpose is a difficult task for the following reasons: Close-to-market implementations regularly require substantial resources while public budgets are limited; the allocation of public funds needs to be fair, open, and documented; the evaluation is complex and subject to public sector regulations for public engagement in R&D funding. This calls for a rigorous evaluation process. This paper proposes an operational three-staged decision support system (DSS) to assist decision-makers in public funding institutions in the ex-ante evaluation of R&D proposals for large-scale close-to-market projects in energy research. The system was developed based on a review of literature and related approaches from practice combined with a series of workshops with practitioners from German public funding institutions. The results confirm that the decision-making process is a complex one that is not limited to simply scoring R&D proposals. Decision-makers also have to deal with various additional issues such as determining the state of technological development, verifying market failures or considering existing funding portfolios. The DSS that is suggested in this paper is unique in the sense that it goes beyond mere multi-criteria aggregation procedures and addresses these issues as well to help guide decision-makers in public institutions through the evaluation process.