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Die energetische Sanierung von Wohnhäusern wird in vielen Städten vorangetrieben. Was im Hinblick auf Energieeffizienz sinnvoll ist, kann aufgrund steigender Mietkosten zu einer Verdrängung der alteingesessenen Bewohner(innen) führen. Damit energetische Sanierung nicht dazu beiträgt, soziale Ungleichheiten auf Stadt- und Quartiersebene zu erhöhen, bedarf es sozialpolitischer Regelungen und Förderinstrumente. Doch fehlt noch eine fundierte Datenbasis, die es erlaubt, entsprechende Empfehlungen zu geben.
Heating behavior of households is key for reducing domestic energy demand and mitigating climate change. Recently, various technical devices have been developed, providing households with feedback on their heating behavior and supporting energy conservation behavior.
The impact of such devices on overall energy consumption depends on (1) the impact of a device within a household, (2) the diffusion of devices to other households and the number of adopters, and (3) the diffusion of the induced behavioral change beyond these households. While the first two processes are currently established in assessments of sustainable household devices, we suggest that adding behavior diffusion is essential when assessing devices that explicitly target behavioral change. We therefore propose an assessment framework that includes all three processes. We implement this framework in an agent-based model by combining two existing simulation models to explore the effect of adding behavior diffusion. In three simulation experiments, we identify two mechanisms by which behavior diffusion (1) spreads the effect of such devices from adopters to non-adopters and (2) increases the average speed of behavioral change of households. From these results we conclude that behavior diffusion should be included in assessments of behavior-changing feedback devices.
A key factor to energy-efficiency of heating in buildings is the behavior of households, in particular how they ventilate rooms. Energy demand can be reduced by behavioral change; devices can support this by giving feedback to consumers on their behavior. One such feedback device, called the "CO2 meter", shows indoor air-quality in the colors of a traffic light to motivate so called "shock ventilation", which is energy-efficient ventilation behavior. The following effects of the "CO2 meter" are analyzed: (1) the effect of the device on ventilation behavior within households, (2) the diffusion of "CO2 meter" to other households, and (3) the diffusion of changed behavior to households that do not adopt a "CO2 meter". An agent-based model of these processes for the city of Bottrop (Germany) was developed using a variety of data sources. The model shows that the "CO2 meter" would increase adoption of energy-efficient ventilation by c. 12% and reduce heating demand by c. 1% within 15 years. Technology diffusion was found to explain at least c. 54% of the estimated energy savings; behavior diffusion explains up to 46%. These findings indicate that the "CO2 meter" is an interesting low-cost solution to increase the energy-efficiency in residential heating.
Die Transformationsprozesse hin zu einer nachhaltigen Entwicklung sind komplex.
Wie kann Wissenschaft dazu beitragen, dass neue Lösungen und Ideen in der Praxis zu Veränderung führen? Dieser Frage gehen die Autorinnen und Autoren am Beispiel der Gebäudeenergiewende nach. Eine transformative Forschung, die den neutralen Beobachterposten verlässt, braucht entsprechende Konzepte und Methoden: Wie kann Wissen aus unterschiedlichen Disziplinen und aus der Praxis integriert werden, um komplexe Sachverhalte und Zusammenhänge zu erklären und zu verstehen? Welche Rolle spielen komplexe (agentenbasierte) Modelle und Experimente dabei? Wie sieht der Methodenmix einer transformativen Wissenschaft aus, die Akteure bei Transformationsprozessen aktiv unterstützt? Illustriert werden diese Fragen am Beispiel des vom BMBF geförderten Forschungsprojektes "EnerTransRuhr".
The German Energiewende is a deliberate transformation of an established industrial economy towards a nearly CO2-free energy system accompanied by a phase out of nuclear energy. Its governance requires knowledge on how to steer the transition from the existing status quo to the target situation (transformation knowledge). The energy system is, however, a complex socio-technical system whose dynamics are influenced by behavioural and institutional aspects, which are badly represented by the dominant techno-economic scenario studies. In this paper, we therefore investigate and identify characteristics of model studies that make agent-based modelling supportive for the generation of transformation knowledge for the Energiewende. This is done by reflecting on the experiences gained from four different applications of agent-based models. In particular, we analyse whether the studies have improved our understanding of policies' impacts on the energy system, whether the knowledge derived is useful for practitioners, how valid understanding derived by the studies is, and whether the insights can be used beyond the initial case-studies. We conclude that agent-based modelling has a high potential to generate transformation knowledge, but that the design of projects in which the models are developed and used is of major importance to reap this potential. Well-informed and goal-oriented stakeholder involvement and a strong collaboration between data collection and model development are crucial.
The transformation processes towards a sustainable development are complex. How can science contribute towards new solutions and ideas leading to change in practice? The authors of this book discuss these questions along the energy transition in the building sector.
A transformative research that leaves the neutral observer position needs appropriate concepts and methods: how can knowledge from different disciplines and from practice be integrated in order to be able to explain and understand complex circumstances and interrelations? What role do complex (agent-based) models and experiments play in this respect? Which mix of methods is required in transformative science in order to actively support the actors in transformation processes?
Theses questions are illustrated by the example of the BMBF funded project "EnerTransRuhr".
