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Insulating existing buildings offers great potential for reducing greenhouse gas emissions and meeting Germany's climate protection targets. Previous research suggests that, since homeowners' decision-making processes are inadequately understood as yet, today's incentives aiming at increasing insulation activity lead to unsatisfactory results. We developed an agent-based model to foster the understanding of homeowners' decision-making processes regarding insulation and to explore how situational factors, such as the structural condition of houses and social interaction, influence their insulation activity. Simulation experiments allow us furthermore to study the influence of socio-spatial structures such as residential segregation and population density on the diffusion of renovation behavior among homeowners. Based on the insights gained, we derive recommendations for designing innovative policy instruments. We conclude that the success of particular policy instruments aiming at increasing homeowners' insulation activity in a specific region depends on the socio-spatial structure at hand, and that reducing financial constraints only has a relatively low potential for increasing Germany's insulation rate. Policy instruments should also target the fact that specific renovation occasions are used to undertake additional insulation activities, e.g. by incentivizing lenders and craftsmen to advise homeowners to have insulation installed.
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.
Energy systems across the globe are going through a radical transformation as a result of technological and institutional changes, depletion of fossil fuel resources, and climate change. At the local level, increasing distributed energy resources requires that the centralized energy systems be re-organized. In this paper, the concept of Integrated community energy systems (ICESs) is presented as a modern development to re-organize local energy systems to integrate distributed energy resources and engage local communities. Local energy systems such as ICESs not only ensure self-provision of energy but also provide essential system services to the larger energy system. In this regard, a comparison of different energy system integration option is provided. We review the current energy trends and the associated technological, socio-economic, environmental and institutional issues shaping the development of ICESs. These systems can be applied to both developed and developing countries, however, their objectives, business models as well as composition differs. ICESs can be accepted by different actors such as local governments, communities, energy suppliers and system operators as an effective means to achieve sustainability and thereby will have significant roles in future energy systems.
Für die Umsetzung der Energiewende und speziell den Ausbau erneuerbarer Energien sind nicht nur energiewirtschaftliche oder Klimaschutz-Kriterien maßgeblich. Zu einer umfassenden Nachhaltigkeitsbewertung gehört unter anderem auch die Ressourcenbewertung. Hier ist unstrittig, dass die Gesamt-Ressourceninanspruchnahme eines Energiesystems generell erheblich niedriger ist, wenn dieses nicht auf fossilen, sondern auf erneuerbaren Energien basiert (und dabei nicht hauptsächlich auf Biomasse ausgerichtet ist). Bisher wurde jedoch insbesondere der Verbrauch und die langfristige Verfügbarkeit der mineralischen Rohstoffe, die in der Regel zur Herstellung von Energiewandlern und Infrastruktur benötigt werden, wenig untersucht.
Im Rahmen des Projekts KRESSE wurde daher erstmals analysiert, welche "kritischen" mineralischen Rohstoffe für die Herstellung von Technologien, die Strom, Wärme und Kraftstoffe aus erneuerbaren Energien erzeugen, bei einer zeitlichen Perspektive bis zum Jahr 2050 in Deutschland relevant sind. Die Einschätzung als "kritisch" umfasst dabei die langfristige Verfügbarkeit der identifizierten Rohstoffe, die Versorgungssituation, die Recyclingfähigkeit und die Umweltbedingungen der Förderung. Die Studie macht deutlich, dass die geologische Verfügbarkeit mineralischer Rohstoffe für den geplanten Ausbau der erneuerbaren Energien in Deutschland grundsätzlich keine limitierende Größe darstellt. Dabei kann jedoch möglicherweise nicht jede Technologievariante unbeschränkt zum Einsatz kommen.