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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.
Die Wärmewende ist als Teil der Energiewende ein gesellschaftliches Großprojekt. Für eine erfolgreiche Umsetzung benötigt die Wärmewende im Vergleich zur Stromwende vielfältigere und differenziertere Handlungsmechanismen. Es geht dabei nicht nur um den Ersatz fossiler Energieträger im Bereich der Wärmeversorgung durch regenerative Quellen, sondern vielmehr um einen systemischen Ansatz, der zudem eine stringente Forcierung von Energieeffizienzmaßnahmen, eine optimierte Verzahnung von Strom- und Wärmesystemen sowie eine zielgruppenspezifische Adressierung und Sensibilisierung von Akteursgruppen (hier: Kommunen, Privathaushalte, Industrie, GHD) erforderlich macht.
The final report of the research project "Power Sector Decarbonisation: Metastudy" contains the various reports prepared by Öko-Institut and Wuppertal Institute during the course of the SEFEP funded project. A key objective of the project was to make a contribution to the debates within the European Union (EU) and Member States on the EU's Energy Roadmap 2050 publication, which was released in December 2011. This objective was achieved by systematically analysing and comparing recently published scenarios on the European electricity sector commissioned by a range of different stakeholders (environmental NGOs, industry and government agencies).
Power sector decarbonisation : metastudy ; WP 2.2 quantitative analysis of existing EU-wide studies
(2012)
The buildings sector accounts for more than 30% of global greenhouse gas emissions. Despite the well-known economic viability of many energy-efficient renovation measures which offer great potential for reducing greenhouse gas emissions and meeting climate protection targets, there is a relatively low level of implementation. We performed a citation network analysis in order to identify papers at the research front and intellectual base on energy-efficient renovation in four areas: technical options, understanding decisions, incentive instruments, and models and simulation. The literature was reviewed in order to understand what is needed to sufficiently increase the number of domestic energy-efficient renovations and to identify potential research gaps. Our findings show that the literature on energy-efficient renovation gained considerable momentum in the last decade, but lacks a deep understanding of the uncertainties surrounding economic aspects and non-economic factors driving renovation decisions of homeowners. The analysis indicates that the (socio-economic) energy saving potential and profitability of energy-efficient renovation measures is lower than generally expected. It is suggested that this can be accounted for by the failure to understand and consider the underpinning influences of energy-consuming behaviour in calculations. Homeowners׳ decisions to renovate are shaped by an alliance of economic and non-economic goals. Therefore, existing incentives, typically targeting the economic viability of measures, have brought little success. A deeper understanding of the decisions of homeowners is needed and we suggest that a simulation model which maps the decision-making processes of homeowners may result in refining existing instruments or developing new innovative mechanisms to tackle the situation.