In order to deal with major climate challenges, different climate goals have been set. These goals are on an abstract, political level, making them difficult to understand for citizens. This is a problem, since in order to reach a sustainable society, all layers in society should be involved. We present a design process, in which we made invisible carbon emission goals tangible so that citizens can relate to them. By extracting different modes of carbon footprint feedback and translating those into a network of objects, we have provided an alternative viewpoint on how to involve people into understanding complex data. By giving different modes of feedback, people can find different ways to relate to the data. This way, the designer provides the tools, but people can use it to shape their own understanding. We consider this approach relevant in empowering citizens to voice their concerns in the climate debate.
A microgrid’s self-consumption rate reflects its ability to retain its own energy and decrease its reliance on the synchronous grid. This paper investigates the empirical case of a microgrid equipped with photovoltaic (PV) panels and identifies challenges in engaging the microgrid’s users to increase their self-consumption. Accordingly, we explored both the physical and social dimensions of the microgrid. The former involved mapping the electricity consumption and production through an exploratory data analysis, and evaluating the associated price signals, while the latter involved the use of design interventions to explore users’ perceptions of the system. We highlight the problem of price signal impedance, the need for cost reflective pricing and the challenge in designing and extending internal price models in settings with various actors. We address the limitations of price signals, alongside alternative unidimensional signals, and emphasize the need for an integrated approach to a user engagement strategy as well as the challenges that this approach entails. Our results shed light on the complexity of energy communities such as microgrids, and why their implementation can introduce multidimensional challenges that demand cross-disciplinary approaches.
Since natural resources are limited, we need to ensure that materials are reused and recycled to the highest degree possible. Information and feedback as well as incentives may encourage people to alter their behavior. In this paper, we explore waste practices within grocery stores and how feedback through visualizations may help stores improve their waste management. We have studied the gap between current waste data and waste data that is both meaningful and can be acted upon as well as barriers between actionable data and organizational change. Nine interviews were conducted with a central facilities manager, store managers, employees and a representative from the waste collection company. Based on the results from these interviews, two mockups of web visualizations were designed and later evaluated in two additional stores. The initial interviews highlighted knowledge about waste, economic and environmental incentives for recycling and current modes of feedback and comparisons between stores. The mockups also reveal structural tensions between economic and environmental goals that wouldn't be affected solely by better visualization of data. We conclude by discussing obstacles that needs to be overcome to reach organizational change in terms of more sustainable waste management practices in grocery stores.
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