This paper investigates key drivers and barriers behind homeowners’ decisions to switch from a fossil fuel (i.e. oil or gas boiler) to a renewable residential heating system (RHS). For this purpose, we draw on data from a 2010 questionnaire survey among owners of existing 1-family or 2-family...

Based on economic and ecological criteria this paper proposes an evaluation framework for the provision of green electricity for charging plug-in electric vehicles in Germany, using the Analytic Hierarchy Process (AHP) approach for a Multi-Criteria Decision Analysis. The frame-work allows for a...

Germany is among the leading countries regarding the promotion of renewable energy towards a sustainable energy system transition. In this paper, we investigate the German pilot auction scheme for solar photovoltaics introduced in the Renewable Energies Act 2014 (EEG 2104) that serves as a pilot...

In this paper we use multivariate cointegration analysis to estimate electricity demand elasticities at the subsectoral industry level. This enables us to reap the benefits of lower heterogeneity within the electricity-consuming sectors investigated and of retaining additional information...

This paper discusses the effect of residential energy prosuming on households' energy consumption behavior with the objective to find evidence for a “prosumer rebound effect” on energy consumption. Prosuming is the partial self-consumption of distributed energy production. We hypothesize...

The growing number of electric vehicles (EVs) will challenge the power system, but EVs may also have balancing effects via smart charging. Modeling EVs’ system-level impact while respecting computational constraints requires the aggregation of individual profiles. We show that studies...

This paper focuses on assessing the impact of different policy measures, in particular different vehicle taxation schemes, on the composition of the fleet of newly registered cars in Norway and Germany. For this purpose, a fleet turnover model was extended by an economic model for predicting...