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It is widely accepted that environmental awareness is essential, yet does not inevitably lead to responsible use of resources. Additional factors on the individual level include the meaning constructed by the term "resources" and the individual and social norms that influence the relevant behavior. Current didactic concepts do not take into account such aspects. Therefore, this article uses a didactic-psychological approach for designing an educational concept for raising awareness for a responsible use of natural resources. Combining insights of environmental psychology and of constructivist didactics, a general principal of "norm-oriented interpretation learning" is outlined to enrich the didactic debate on responsible and efficient resource use. Based on the presentation of a qualifying module for resource efficiency consultants as a practical example of resource education, a new didactical approach, namely "open-didactic exploration" (short form: ODE) is introduced. The article discusses the theory-based elements of ODE and illustrates a step by step process for designing educational materials. This adds to the theoretical debate about a didactic design for resource oriented education. Furthermore, this method can be directly used by practitioners developing education and training material (e.g., teachers, trainers in vocational education). The Wuppertal Institute developed and applied this method in numerous projects. The conclusion and outlook discusses future expectations and scope of the introduced ODE method as a contribution to foster "norm-oriented interpretation learning", suggesting perspectives for further development.
The data centre industry (DCI) has grown from zero in the 1980s, to enabling 60% of the global population to be connected in 2021 via 7.2 million data centres. The DCI is based on a linear economy and there is an urgent need to transform to a Circular Economy to establish a secure supply chain and ensure an economically stable and uninterrupted service, which is particularly difficult in an industry that is comprised of ten insular subsectors. This paper describes the CEDaCI project which was established to address the challenge in this unique sector; this ground-breaking project employs a whole systems approach, Design Thinking and the Double Diamond methods, which rely on people/stakeholder engagement throughout. The paper reviews and assesses the impact of these methods and project to date, using quantitative and qualitative research, via an online sectoral survey and interviews with nine data centre and IT industry experts. The results show that the project is creating positive impact and initiating change across the sector and that the innovative output (designs, business models, and a digital tool) will ensure that sectoral transformation continues; the project methods and structure will also serve as an exemplar for other sectors.
Both focus group discussions and information-choice questionnaires (ICQs) have previously been used to examine informed public opinions about carbon dioxide capture and storage (CCS). This paper presents an extensive experimental study to systematically examine and compare the quality of opinions created by these two research techniques. Depending on experimental condition, participants either participated in a focus group meeting or completed an ICQ. In both conditions participants received identical factual information about two specific CCS options. After having processed the information, they indicated their overall opinion about each CCS option. The quality of these opinions was determined by looking at three outcome-oriented indicators of opinion quality: consistency, stability, and confidence. Results for all three indicators showed that ICQs yielded higher-quality opinions than focus groups, but also that focus groups did not perform poor in this regard. Implications for the choice between focus group discussions and ICQs are discussed.
Urban energy systems have been commonly considered to be socio-technical systems within the boundaries of an urban area. However, recent literature challenges this notion in that it urges researchers to look at the wider interactions and influences of urban energy systems wherein the socio-technical sphere is expanded to political, environmental and economic realms as well. In addition to the inter-sectoral linkages, the diverse agents and multilevel governance trends of energy sustainability in the dynamic environment of cities make the urban energy landscape a complex one. There is a strong case then for establishing a new conceptualisation of urban energy systems that builds upon these contemporary understandings of such systems. We argue that the complex systems approach can be suitable for this. In this paper, we propose a pilot framework for understanding urban energy systems using complex systems theory as an integrating plane. We review the multiple streams of urban energy literature to identify the contemporary discussions and construct this framework that can serve as a common ontological understanding for the different scholarships studying urban energy systems. We conclude the paper by highlighting the ways in which the framework can serve some of the relevant communities.
Access to sustainable and affordable energy services is a crucial factor in reducing poverty in developing countries. In particular, small-scale and community-based renewable energy projects are recognized as important forms of development assistance for reaching the energy poor. However, to date only a few empirical evaluations exist which analyze and compare the impact of these projects on local living conditions and their sustainability ex-post implementation.
To better understand the impacts and the conditions that influence sustainability of these projects, the research presented in this paper evaluated 23 local development projects post implementation. By applying an standardized evaluation design to a cross-sectional sample in terms of renewable energy sources (solar, wind, biomass, hydro), user needs (electricity, food preparation, lighting, productive uses), community management models, finance mechanisms and geographical locations, the review results provide valuable insights on the underlying conditions that influence the success or failure of these small-scale local energy interventions. The empirical evidence suggests that the sustainability of small-scale energy implementations (≤100 kW) in developing countries is determined by the same factors, independent of the socio-cultural, political and ecological context. These findings allow to better predict the long-term success of small sustainable energy projects in developing countries, this can help to improve project designs and increase the certainty for future investment decisions.
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 use of materials and the generation of waste are linked to economic activities and in many projections these are assumed to be a constant ratio of the economic activities. This may be the case considering detailed economic activities and unchanged technology. However, the assumption of constant coefficients is questionable when linking material use and waste generation to aggregated economic activities. Therefore, in this paper, econometrics is used to test the assumption of constant waste coefficients empirically. The analyses show that an assumption of constant waste coefficients is not supported, generally, and amodel allowing for trendwise changing coefficients is developed and used for projections of waste and material flows in 25 European countries.
The 2014 United Nations Climate Change Conference had been scheduled from 1 to 12 December in Lima/Peru. While in the run-up to the conference, China and the US in a surprise bilateral move had announced plans to cut greenhouse gas emissions that exceeded expectations, the conference was characterised once again by a deep division between key players from the former so-called "developed" and "developing" world. The negotiations thus took 32 hours longer than planned and ended on Sunday morning at 1.22 am. More importantly, the conference failed almost completely to resolve the tasks it was supposed to do in order to prepare the last round of negotiations before next year's conference in Paris 2015, which is supposed to deliver a comprehensive future climate agreement. A team of researchers from the Wuppertal Institute attended the conference and have compiled a first assessment of the results.
Sustainability as defined by the Brundtland Commission, is a composite and thus ambitious policy target. It comprises environmental, economic, social, and institutional criteria with equal importance. Because of this complexity the first step of a (Local) Agenda 21 process should be to develop a vision of a sustainable society - a "leitbild" - useful as a compass, not a road map (or, even worse, a blueprint), attached by indicators that help to measure progress, distance to target, and failures of plans or their implementations. In the following article a model is proposed how local sustainability indicators can be developed and how they can help to reduce the complexity of sustainability and to concretize a program for the Local Agenda 21. To get a practical impression of the theoretical presentation an example is given in the last part of the article. It shows the experiences made while developing sustainability indicators in the City of Iserlohn.
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.
Agriculture is a major sector responsible for greenhouse gas emissions. Local food production can contribute to reducing transport-related emissions. Since most of the worldwide population lives in cities, locally producing food implies practicing agriculture in urban and peri-urban areas. Exemplary, we analyze the potential to produce fresh vegetables within Berlin, Germany. We investigate the spatial extent of five different urban spaces for soil-based agriculture or gardening, i.e., non-built residential areas, allotment gardens, rooftops, supermarket parking lots, and cemeteries. We also quantify inputs required for such food production in terms of water, human resources, and investment. Our findings highlight that up to 82% of Berlin’s vegetable demand could be produced within the city, based on a reasonable validation of existing areas. Meeting this potential requires 42 km2 of urban spaces for cultivation, a considerable amount of irrigation water, around 17 thousand gardeners, and over 750 million EUR of initial investments. The final vegetable cost would be around 2 EUR to 10 EUR per kg without any profit margin. We conclude that it is realistic to produce a significant amount of Berlin's vegetable demand within the city, even if it comes with great challenges.
National welfare is no longer an effective frame of reference for enlightened foreign policy. Policy consideration must encompass the common welfare of a world society. Environmental and resource crises are inextricably tied to security and justice. Sixty years after the founding of the United Nations there should be a new effort to establish a genuinely sustainable global order - a "San Francisco 2.0".
Optimization and simulation models are fit to work on a multitude of technical, economic, and techno-economic questions. However, they are by now not able to satisfactorily include societal aspects like acceptance, spatial implications and legal frameworks. In order to advance scope and explanatory power of simulation models, collaboration in interdisciplinary research teams is needed. Yet the exchange in such teams and its coordination can prove challenging. Furthermore, disciplinary approaches and methods for simulation and optimization might not be familiar to all participants.
To this end, a new conceptual model is introduced. The conceptual model employs few basic elements and concepts for describing and explaining arbitrary societal and technical relationships. Most notably, the conceptual model is general in its design, so contributions to the problem formulation and design components can be made by all team members regardless of their discipline. The procedure is based on common agent-based concepts without using their terminology. Consequently, an exchange among all team members becomes possible without them necessarily being proficient in agent-based modeling. A reduced presentation of workshop results exemplifies the use of novel elements for deriving an emergent agent-based simulation.
The Paris Agreement introduces long-term strategies as an instrument to inform progressively more ambitious emission reduction objectives, while holding development goals paramount in the context of national circumstances. In the lead up to the twenty-first Conference of the Parties, the Deep Decarbonization Pathways Project developed mid-century low-emission pathways for 16 countries, based on an innovative pathway design framework. In this Perspective, we describe this framework and show how it can support the development of sectorally and technologically detailed, policy-relevant and country-driven strategies consistent with the Paris Agreement climate goal. We also discuss how this framework can be used to engage stakeholder input and buy-in; design implementation policy packages; reveal necessary technological, financial and institutional enabling conditions; and support global stocktaking and increasing of ambition.
Given large potentials of the MENA region for renewable energy production, transitions towards renewables-based energy systems seem a promising way for meeting growing energy demand while contributing to greenhouse gas emissions reductions according to the Paris Agreement at the same time. Supporting and steering transitions to a low-carbon energy system require a clear understanding of socio-technical interdependencies in the energy system as well as of the principle dynamics of system innovations. For facilitating such understanding, a phase model for renewables-based energy transitions in MENA countries, which structures the transition process over time through the differentiation of a set of sub-sequent distinct phases, is developed in this article. The phase model builds on a phase model depicting the German energy transition, which was complemented by insights about transition governance and adapted to reflect characteristics of the MENA region. The resulting model includes four phases ("Take-off renewables", "System integration", "Power to fuel/gases”, "Towards 100% renewables”), each of which is characterized by a different cluster of innovations. These innovations enter the system via three stages of development which describe different levels of maturity and market penetration, and which require appropriate governance. The phase model has the potential to support strategy development and governance of energy transitions in MENA countries in two complementary ways: it provides an overview of techno-economic developments as orienting guidelines for decision-makers, and it adds some guidance as to which governance approaches are suitable for supporting those developments.
A policy mix for resource efficiency in the EU : key instruments, challenges and research needs
(2019)
Against the background of an often wasteful use of natural resources, the European Union has made resource efficiency a top policy priority. Policy formulation is, however, at a very early stage in many Member States, with often vague notions of what resource efficiency means, characterised by fragmented instruments and overlapping competencies. This paper develops a conceptual framework for defining, assessing and developing resource efficiency policy mixes. It argues that a mix of policies and instruments is best suited to overcoming the complex challenges of the 21st Century. Such a mix addresses multiple resource domains at a strategic, high level and contains interacting instruments targeting multiple actors, levels of governance and sectors and life-cycle stages of resource use. This paper looks at criteria for effective resource efficiency policy instruments, presents both an indicative policy mix across 9 policy domains and case studies (on environmental harmful subsidies, supply chain efficiency in food systems and product-service systems) and identifies key challenges to overcome trade-offs in instrument design, maximise synergies, reduce conflicts, promote coherence, coordinate activities and move from theory to practice. Research needs are discussed regarding who shall devise, implement, and coordinate such a policy mix, considering negotiating power, timing and complexity.
Citizen science is a transdisciplinary approach that responds to the current science policy agenda: in terms of supporting open science, and by using a range of science communication instruments. In particular, it opens up scientific research processes by involving citizens at different phases; this also creates a range of opportunities for science communication to happen This article explores methodological and practical characteristics of citizen science as a form of science communication by examining three case studies that took different approaches to citizens' participation in science. Through these, it becomes clear that communication in citizen science is "always" science communication and an essential part of "doing science".
This article reviews the literature on the past cost dynamics of various renewable, fossil fuel and nuclear electricity generation technologies. It identifies 10 different factors which have played key roles in influencing past cost developments according to the literature. These 10 factors are: deployment-induced learning, research, development and demonstration (RD&D)-induced learning, knowledge spillovers from other technologies, upsizing, economies of manufacturing scale, economies of project scale, changes in material and labour costs, changes in fuel costs, regulatory changes, and limits to the availability of suitable sites. The article summarises the relevant literature findings for each of these 10 factors and provides an overview indicating which factors have impacted on which generation technologies. The article also discusses the insights gained from the review for a better understanding of possible future cost developments of electricity generation technologies. Finally, future research needs, which may support a better understanding of past and future cost developments, are identified.