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.
The paper describes patterns of resource use related to German households' equipment. Using cluster analysis and material flow accounting, data on socio-demographic characteristics, and expenditures on fuel, electricity and household equipment allow for a differentiation of seven different household types. The corresponding resource use, expressed in Material Footprint per person and year, is calculated based on cradle-to-gate material flows of average household goods and the related household energy use. Our results show that patterns of resource use are mainly driven by the use of fuel and electricity and the ownership of cars. The quantified Material Footprints correlate to social status and are also linked to city size, age and household size. Affluent, established and/or younger families living in rural areas typically show the highest amounts of durables and expenditures on non-durables, thus exhibiting the highest use of natural resources.
The production of commodities by energy-intensive industry is responsible for 1/3 of annual global greenhouse gas (GHG) emissions. The climate goal of the Paris Agreement, to hold the increase in the global average temperature to well below 2 °C above pre-industrial levels while pursuing efforts to limit the temperature increase to 1.5 °C, requires global GHG emissions reach net-zero and probably negative by 2055-2080. Given the average economic lifetime of industrial facilities is 20 years or more, this indicates all new investment must be net-zero emitting by 2035-2060 or be compensated by negative emissions to guarantee GHG-neutrality. We argue, based on a sample portfolio of emerging and near-commercial technologies for each sector (largely based on zero carbon electricity & heat sources, biomass and carbon capture, and catalogued in an accompanying database), that reducing energy-intensive industrial GHG emissions to Paris Agreement compatible levels may not only be technically possible, but can be achieved with sufficient prioritization and policy effort. We then review policy options to drive innovation and investment in these technologies. From this we synthesize a preliminary integrated strategy for a managed transition with minimum stranded assets, unemployment, and social trauma that recognizes the competitive and globally traded nature of commodity production. The strategy includes: an initial policy commitment followed by a national and sectoral stakeholder driven pathway process to build commitment and identify opportunities based on local zero carbon resources; penetration of near-commercial technologies through increasing valuation of GHG material intensity through GHG pricing or flexible regulations with protection for competitiveness and against carbon leakage; research and demand support for the output of pilot plants, including some combination of guaranteed above-market prices that decline with output and an increasing requirement for low carbon inputs in government procurement; and finally, key supporting institutions.
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.
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.
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.
This paper investigates the multimodal nature of urban congestion and network performance, with the aim of developing practice ready policy tools to alleviate the adverse effects of excess demand, no matter in which mode it realizes. As part of the efforts to get an overall understanding of how congestion is defined in various disciplines, we conduct a literature review of relevant engineering and microeconomics studies. The investigation reveals the main areas where contradiction can be identified between engineering and economics approaches. In a second step, we investigate the results of an expert survey about the principles of congestion analysis from a multimodal perspective. The main contribution of the paper is twofold. First, we draw attention to the pitfalls of oversimplified and narrow viewpoints on congestion. Second, we operationalize these principles in order to enable decision makers to assess the impact of urban transport measures on congestion.
An index of accessibility-based vulnerability is created based on a definition of transport-user vulnerability regarding transport accessibility created for the EMPOWER project, in order to assess the project's key performance indicator of the inclusion of vulnerable people in the project's scheme. The objective of the index is to account for various individual vulnerability aspects, but also for the "multi-dimensionality" of vulnerability, i.e. individuals may be vulnerable because of one specific aspect (e.g., disability), or they may be vulnerable because of multiple aspects which, if assessed in isolation, wouldn't classify the individual as vulnerable. Users of the project scheme in the Dutch city of Enschede are surveyed on, inter alia, their vulnerability based on this definition, according to their income, mobility budget, physical mobility, age, gender, living situation, nation of birth, and education. According to individual questions, 1% to 54% (single parents and females, respectively) of respondents have some level of vulnerability. According to the index, 23–36% of respondents can be considered to be vulnerable. Suitably modified for local conditions, the index is relevant to cities, especially quickly developing cities where congestion reduction is or has been a priority, insofar as it offers a way of measuring and monitoring the vulnerability of the users of their transport system. Finally, steps to adapt the index to other settings (cities or countries) are discussed.
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.