Project

Modelling individual decision processes and the influence of in-termediaries on the diffusion of energy efficiency measures and renewable energies in buildings (DiffusionEE)

The project aims to analyze decision processes with regard to energy efficiency measures and renewable energies in buildings. These decision processes are then illustrated in an energy system model for buildings. This should increase the predictive power of scenarios for the diffusion of energy efficiency measures and renewable heating systems in new and existing buildings in Germany. INVERT/EE-Lab is the bottom-up simulation model used as the energy system model together with the agent-based investment decision module INVERT-Agents. The results contribute to a better understanding of how companies and households make decisions. Based on this, recommendations for energy policy can be derived.

The project begins by reviewing and summarizing the existing research literature. On this basis, interviews are conducted with households, the relevant trades, building planners, energy consultants and companies about how decisions are made about energy efficiency and installing renewable energies. Building on this, surveys will be carried out: The project partner RWTH Aachen University is responsible for a household study, while Fraunhofer ISI focuses on companies. As a service provider, the market research institute IFAK supports Fraunhofer ISI in this survey. The survey results are then used as input for the energy system model.

Book contribution in print: Arning, K.; Dütschke, E.; Zaunbrecher, B.; Globisch, J. (2019): The challenge of energy efficiency in the building sector - taking an in-depth look at decision-making processes on investments in low carbon technologies. In: Lopes, M.; Antunes, C.H.; Janda, K.B. (Eds).: Energy and behaviour. Towards a Low Carbon Future. Elsevier November 2019.

Poster of the Project

Duration

2016 – 2020

Client

The project is funded by the Federal Ministry of Economics and Energy (BMWi) within the framework of the 7th Energy Research Programme

Further information