Responsiveness of residential electricity demand to dynamic tariffs

Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the Netherlands

Klaassen, EAM (Eindhoven University of Technology; Enexis B.V.)
Kobus, C.B.A. (TU Delft Responsible Marketing and Consumer Behavior; Enexis B.V.)
Frunt, J (Eindhoven University of Technology; DNV-GL)
Slootweg, JG (Eindhoven University of Technology; DNV-GL)

2016

To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand response, a dynamic tariff and smart appliances were used. The participating households were informed about the tariff day-ahead through a home energy management system, connected to a display installed on the wall in their living room. The tariff was intuitively displayed: self-consumption of photovoltaic generation was stimulated by means of a low tariff, but also the generation itself played a central role on the display. Household flexibility is analyzed, focusing on: (i) the load shift of (smart) appliances, and (ii) the response of the (overall) peak load towards the dynamic tariff. To assess the latter, i.e. price responsiveness, the participants were split up in two comparable groups which were subject to a different moment of evening peak-pricing. Based on the results, it is concluded that mainly the flexibility of the white goods (i.e. the washing machine, tumble dryer and dishwasher) is used for demand response. The main part of the flexible load of these (smart) appliances is shifted from the evening to the midday, to match local generation. This load shift remained stable over a long period of time (>1 year) and is not responsive to the exact moment of peak-pricing. Therefore, it is concluded that a simple and transparent design for dynamic tariffs is sufficient and most effective to stimulate (manual) residential demand response. Such a tariff should emphasize the ‘right’ moments to use electricity, intuitively linked to renewable generation.

Data-driven analysis
Demand response
Dynamic tariffs
Field test
Price responsiveness
Smart appliances

http://resolver.tudelft.nl/uuid:37047ee8-4a1b-4216-a4f8-813099c38bb1

https://doi.org/10.1016/j.apenergy.2016.09.051

0306-2619

Applied Energy, 183, 1065-1074

Institutional Repository

journal article

© 2016 EAM Klaassen, C.B.A. Kobus, J Frunt, JG Slootweg