Impact of blinds usage on energy consumption : automatic versus manual control

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
4 Downloads (Pure)

Abstract

This paper reports a study on the impact of different usage patterns of an automated blinds system on the energy consumption for heating and cooling in a Dutch office building. A five-month observational field study in 40 offices resulted into a dataset on the blinds usage of four types of blind users. This data was used to simulate the effect of the blinds usage on the energy consumption for heating and cooling. The results of the field study show that a majority of the building occupants switched off the automatic mode of the blinds system permanently. The simulation results indicate that this significantly impacts the energy consumption in the building. The total daily average energy consumption for heating and cooling was significantly lower for occupants using the automatic mode than for the three groups of manual users (871W/day versus 2573W/day; T=-5.98, p=0.000).
Original languageEnglish
Title of host publicationAmbient Intelligence, European Conference AmI 2014
EditorsE. Aarts, B. Ruyter, de, P. Markopoulos, E. Loenen, van, R. Wichert, B. Schouten, J. Terken, R. Kranenburg, van, E. Ouden, den, G. O'hare
Place of PublicationSwitzerland
PublisherSpringer
Pages158-173
DOIs
Publication statusPublished - 2014
Eventconference; AmI 2014; 2014-11-11; 2014-11-13 -
Duration: 11 Nov 201413 Nov 2014

Publication series

NameLecture Notes in Computer Science
Volume8850
ISSN (Print)0302-9743

Conference

Conferenceconference; AmI 2014; 2014-11-11; 2014-11-13
Period11/11/1413/11/14
OtherAmI 2014

    Fingerprint

Cite this

Meerbeek, B. W., van Druenen, T., Aarts, M. P. J., Loenen, van, E. J., & Aarts, E. H. L. (2014). Impact of blinds usage on energy consumption : automatic versus manual control. In E. Aarts, B. Ruyter, de, P. Markopoulos, E. Loenen, van, R. Wichert, B. Schouten, J. Terken, R. Kranenburg, van, E. Ouden, den, ... G. O'hare (Eds.), Ambient Intelligence, European Conference AmI 2014 (pp. 158-173). (Lecture Notes in Computer Science; Vol. 8850). Switzerland: Springer. https://doi.org/10.1007/978-3-319-14112-1_14