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Tackling fuel poverty has become an increasingly important issue on many European countries' political agendas. Consequently, national governments, local authorities and NGOs have established policies and programmes to reduce the fuel poverty vulnerability of households. However, evaluations of such policies and programmes show that they barely reach those who are most in need. The reasons for this failure are diverse and include fuel poverty measurement metrics, local scale data availability and policy design. This raises the question of how fuel poor homes can be more effectively identified and targeted to ensure that limited local and national budgets are used to benefit those who most need help.
Area-based approaches, which pinpoint spatial units highly affected by fuel poverty due to their specific characteristics, offer an opportunity for creating more tailored policies and programmes. In this study, the author developed a GIS-MCDA (Multi-Criteria Decision Analysis), using an AHP (Analytical Hierarchy Process) and applied the approach to the German city of Oberhausen. The overall issue of fuel poverty was broken down into three vulnerability dimensions (heating burden, socio-economic and building vulnerability), the relative importance of fuel poverty criteria and the dimensions were evaluated by experts, and an overall Fuel Poverty Index was created to assess the relative fuel poverty vulnerability of 168 urban neighbourhoods.
The analysis offers insights into the spatial pattern of fuel poverty within a city and thus provides an opportunity to channel efforts towards households in those neighbourhoods most in need. It also demonstrates that a trade-off between ecological and social targets should be considered in the development of future policies for tackling fuel poverty.
Behälterglasherstellung
(2018)
The German government aims to achieve virtually climate-neutral building stock by 2050 to tackle climate change. To realise this goal, comprehensive policy packages based on neoclassical economic theory are in place to foster energy efficiency investment. However, in the building sector, there is increasingly a gap between this aspiration and the reality. It is claimed that one of the main reasons for this is that the existing policy framework fails to address the specific characteristics and needs of different groups of building owners. This is a particular challenge in Germany, where 80% of all dwellings are owned privately and 37% are rented out by small private landlords (SPL). Despite the significant numbers of SPL, they often follow black box decision-making processes when considering energy renovations. In this study, the author uses an explanatory model to understand the decision-making processes of SPL, combining theoretical aspects from different research disciplines. This model was applied to a low-demand housing market in a neighbourhood in the Ruhr area. Eighteen semi-structured interviews (each lasting between 37 and 115 min) were conducted, demonstrating that in addition to economic factors, the values, beliefs, norms and routines of SPL - as well as their personal capabilities and contextual factors - play an important role in their decision-making. Based on the findings, recommendations are made for enhancing the effectiveness of existing energy efficiency policies and other supporting instruments (e.g. tenancy law and social legislation), tailored to the specific needs of SPL.
There is an increasing pressure that enhanced and novel energy technologies are swiftly adopted by the market to ensure meeting the energy and climate targets. An important issue with such novel developments is their risk to be stuck in the "valley of death", i.e. that their transition to the market is delayed or unsuccessful. Publicly supported demonstration projects could help to bridge the valley of death by reducing barriers to the adoption caused by missing information and perceived risks. A challenge for technology demonstrations in the industrial context is their often high investments that are required to prove their real-world benefits. Given the magnitude of such investments, it becomes crucial that public funding focuses on the most promising demonstration proposals. Structured evaluation processes can help to facilitate the identification of promising proposals and to improve the quality and transparency of decisions. This paper deals with a corresponding multi-staged multi-criteria decision support system (DSS) suggested to the German Federal Ministry for Economic Affairs and Energy. It deals with the evaluation of demonstration proposals across three stages: The first stage represents a filtering stage to identify those proposals relevant for further considerations. The second stage comprises a multi-criteria scoring method drawing on an evaluation against nineteen criteria. The final third stage serves to critically review the need for public funding of well-scored proposals. This contribution outlines the development of the DSS and its design and thus provides insights on proposal evaluating in energy research.
Real-world laboratories (RwLs) often put researchers in highly demanding research contexts regarding their roles and self-conceptions. Helpful roles of researchers have been described but still little is known about the factors influencing the adoption of certain roles. Using data from three parallel RwLs in Wuppertal, Germany, we found four roles of researchers: the reflective scientist, the facilitator, the change agent and the (self-)reflexive scientist. We sequenced the RwLs into situations and analysed them by RwL process steps and conditions, considering the roles of researchers as outcomes. Although the conditions convey only limited explanatory power, there was a consistent picture that being pressured to carry out real-world action, having a practice partner with fewer resources and working without a functional project group is (in conjunction) sufficient to cause the researcher to partake in activities beyond conventional research. Process steps played a minor role. Our research on factors influencing the adoption of roles may help RwL researchers to perform their roles as intended.
Urban areas, being responsible for large shares of global greenhouse gas emissions, are important arenas for achieving global decarbonisation. However, the systemic challenge of decarbonisation requires deep structural changes - transitions - that take place across multiple scales and along entire value chains. We argue in this article that understanding the role of urban areas for global decarbonisation therefore requires consideration of their context and analysis of urban areas' contributions to transitions that extend past the individual urban area. We develop an analytical framework that proposes three principal ways urban areas contribute to low-carbon transitions and ten competences that regional and local governance actors have to support them. We apply this framework to the Cologne metropolitan area in Germany to demonstrate the ability of our framework to relate urban-scale activities to more encompassing low-carbon transitions. The paper concludes with future research possibilities.