Picture map of Europe with pins indicating European capital cities

Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

Explore research outputs by the European Policies Research Centre...

Modelling the effects of variable tariffs on domestic electric load profiles by use of occupant behavior submodels

Fischer, David and Stephen, Bruce and Flunk, Alexander and Kreifels, Niklas and Byskov Lindberg, Karen and Wille-Haussmann, Bernhard and Owens, Edward H. (2016) Modelling the effects of variable tariffs on domestic electric load profiles by use of occupant behavior submodels. IEEE Transactions on Smart Grid. ISSN 1949-3053 (In Press)

[img] Text (Fischer-etal-IEEETSG2016-modelling-effects-variable-tariffs-domestic-electric-load-profiles)
Fischer_etal_IEEETSG2016_modelling_effects_variable_tariffs_domestic_electric_load_profiles.pdf - Accepted Author Manuscript

Download (249kB)

Abstract

Emerging infrastructure for residential meter communication and data processing carries the potential to control household electrical demand within local power system constraints. Deferral of load control can be incentivised through electricity tariff price structure which can in turn reshape a daily load profile. This paper presents a stochastic bottom-up model designed to predict the change in domestic electricity profile invoked by consumer reaction to electricity unit price, with submodels comprising user behaviour, price response and dependency between behaviour and electric demand. The developed models are used to analyse the demand side management potential of the most relevant energy consuming activities through a simulated German household demonstrating that in the given scenario 8% of the annual electricity demand is shifted, leading to a 35e annual saving. However, a 7% higher than average peak load results from the structure of the tariff signal modelled herein. A discussion on selected aspects for tariff design for categories of typical household appliances is included.