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This doctoral research is located in the branch of sustainability sciences that has the realisation of sustainable development as its core subject of research. The most broadly accepted notion of sustainable development is that which evolves along the resolutions, declarations, and reports from international processes in the framework of the United Nations (UN). The consensual outputs from such processes feature global-generalised and context-free perspectives. However, implementation requires action at diverse and context-rich local levels as well. Moreover, while in such UN processes national states are the only contractual parties, it is increasingly recognised that other ("nonstate") actors are crucial to sustainability. The research presented here places the attention on bottom-up initiatives that are advancing innovative ways to tackle universal access to clean energy and to strengthen small-scale family farmers. This means, the focus is on bottom-up initiatives advancing local implementation of global sustainability targets, more precisely, targets that make part of the Sustainable Development Goals two and seven (SDG 2 and SDG7). The research asks how such bottom-up initiatives can contribute to the diffusion of sustainability innovations, thereby also contributing to social change.
The COMBI project aimed at quantifying the multiple non-energy benefits of energy efficiency in the EU-28 area and incorporate those multiple impacts into decision-support frameworks for policy-making. Therefore, all multiple impacts of energy efficiency are analysed from an overall societal view in the project. The COMBI policy recommendations resulting from the evaluation outcomes are presented in this report.
COMBI draws on a reference scenario until the year 2030 including existing policies. By modelling 21 sets of "energy efficiency improvement" (EEI) actions, a second efficiency scenario was modelled amounting to additional energy savings of around 8% p.a. in 2030, and that is comparable to the EUCO+33 to EUCO+35 scenario. All figures quantified by COMBI relate to additional values, i.e. additional impacts resulting from additional EEI actions beyond the reference scenario as a consequence of additional policies. The project quantified in total 31 individual impact indicators with appropriate state-of-the-art models.
Any energy efficiency impact evaluation can be done from different analytical perspectives, e.g. the investor/end-user perspective, program administrator perspective or the societal perspective. COMBI applies the "societal perspective", as this is most relevant for policy-making. COMBI draws on a reference scenario until the year 2030 including existing (partially already ambitious) policies. By modelling 21 sets of "energy efficiency improvement" (EEI) actions, a second efficiency scenario was modelled amounting to additional energy savings of around 8% p.a. in 2030, that is comparable to the EUCO+33 to EUCO+35 scenario. This D2.7 quantification report summarises the quantification approaches applied in the COMBI project and main project findings. It therefore draws on other COMBI reports that contain this information in greater detail in order to summarise quantifications.
The report is structured in three main sections: 1. The COMBI approach and methods, explaining key methodological approaches both for individual impact quantifications and for the aggregation of impacts 2. Quantification results, giving an overview on main figures of quantified indicators and 3. Insights from cross-impact analysis, which gives a comparison between monetised impacts and presents their use for Cost-Benefit calculations in the COMBI online tool.
Because prevention is closely linked to complex consumption patterns, even cultural changes, such as increasing environmental awareness, changes in the average size of households or changes in the industrial structure of an economy, are relevant factors for the interpretation of changes in the generation of waste - it is more or less impossible to isolate the effect of specific waste prevention measures in this complex system. This must be considered, in particular, in international comparisons of policies and their potential transferability. The guidelines of the European Commission on waste prevention also point to the particular problem of data availability in the area of prevention: as waste statistics focus mainly on the treatment and fate of wastes, they are often of limited value for prevention of waste because they don't give sufficient information about their origins or reasons for their generation.
Against this background, this report has the following objectives:
Chapter 2 discusses strengths and weaknesses of typical waste-based prevention indicators; Chapter 3 analyses possible indicators that consider an upstream perspective and take into account the ecological rucksacks of products and components that have become waste; Chapter 4 focuses on specific product groups that could be targeted by waste prevention indicators.
In general, the report describes the complexity of measuring waste prevention and outlines pros and cons of possible approaches. The final chapter aims to draw rather pragmatic conclusions on possibly most preferable options for future policy-making.
Digitalization is a transformation process which has already affected many parts of industry and society and is expected to yet increase its transformative speed and impact. In the energy sector, many digital applications have already been implemented. However, a more drastic change is expected during the next decades. Good understanding of which digital applications are possible and what are the associated benefits as well as risks from the different perspectives of the impacted stakeholders is of high importance. On the one hand, it is the basis for a broad societal and political discussion about general targets and guidelines of digitalization. On the other hand, it is an important piece of information for companies in order to develop and sustainably implement digital applications. This article provides a structured overview of potential digital applications in the German energy (electricity) sector, including the associated benefits and the impacted stakeholders on the basis of a literature review. Furthermore, as an outlook, a methodology to holistically analyze digital applications is suggested. The intended purpose of the suggested methodology is to provide a complexity-reduced fact base as input for societal and political discussions and for the development of new digital products, services, or business models. While the methodology is outlined in this article, in a follow-up article the application of the methodology will be presented and the use of the approach reflected.
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.
Die Dekarbonisierung des deutschen Wohngebäudebestandes stellt einen wichtigen Baustein zum Gelingen der Energiewende dar. Politisches Ziel ist ein "nahezu klima-neutraler" Gebäudebestand bis 2050. Trotz Erfolgen in der Vergangenheit und eines umfangreichen Policy-Mix verbleibt die energetische Sanierungstätigkeit sowohl hinichtlich der Sanierungstiefe als auch der Sanierungsbreite unterhalb des politisch geforderten und ökologisch notwendigen Maßes. Die Arbeit widmet sich daher der Frage, unter welchen individuellen und quartiersbezogenen Rahmenbedingungen Immobilieneigentümer energetische Sanierungsmaßnahmen durchführen und wie die energetische Sanierungstätigkeit durch Multi-Level-Governance gesteigert werden kann. Die Analyse erfolgt fallstudienbasiert für die Eigentümergruppe der privaten Kleinvermieter, die rund 37 Prozent des deutschen Wohnungsbestandes bewirtschaften. Anhand eines mixed method-Ansatzes wird zunächst durch problemzentrierte Interviews ein Modell zur Beschreibung des Investitionsentscheidungsprozesses entwickelt, was anschließend durch eine schriftlich-postalische Befragung und ihre regressions-analytische Auswertung bewertet wird. Durch die Triangulation können förderliche und hemmende Einflussfaktoren identifiziert werden. Aufbauend auf den theoretischen Vorüberlegungen sowie den empirischen Ergebnissen werden anschließend politische Handlungsempfehlungen abgeleitet.
