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Appliances Facilitating Everyday Life - Electricity Use Derived from Daily Activities
Linköping University, The Tema Institute, Technology and Social Change. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-4133-1204
Uppsala universitet; Institutionen för teknikvetenskaper; Fasta tillståndets fysik. (Built Environment Energy Systems Group)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-4761-8601
2011 (English)In: Proceeding from the World Renewable Energy Congress - Sweden, 8-13 May, 2011 / [ed] Bahram Moshfegh, Linköping University Electronic Press , 2011, 1031-1038 p.Conference paper (Refereed)
Abstract [en]

The purpose of this paper is to present how, using a visualization method, electricity use can be derived from the everyday activity patterns of household members. Target groups are, on the one hand, professionals in the energy sector and energy advisors who need more knowledge about household energy use, and, on the other hand, household members wanting to reduce the energy use by revealing their own habits and thereby finding out how changed activity performance may influence electricity use. The focus is on the relation between utilizing electric appliances to perform everyday life activities and the use of electricity. The visualization method is based on the time-geographic approach developed by Hägerstrand and includes a model that estimates appliance electricity use from household members’ activities. Focus, in this paper, is put on some basic activities performed to satisfy daily life needs: cooking and use of information, communication and entertainment devices. These activities appear frequently in the everyday life of households, even though not all household members perform them all. The method is applied on a data material comprising time-diaries written by 463 individuals (aged 10 to 85+) in 179 households in different parts of Sweden. The visualization method reveals when and for how long activities that claim electric appliances are performed by which individual(s). It also shows electricity load curves generated from the use of appliances at different levels, such as individual, household and group or population levels. At household level the method can reveal which household members are the main users of electricity, i.e. the division of labour between household members. Thereby it also informs about whom could be approached by energy companies and energy advisors in information campaigns. The main result of the study is that systematic differences in activity patterns in subgroups of a population can be identified (e.g. men and women) but that directed information based on these patterns has to be made with care and with the risk of making too broad generalizations.

Place, publisher, year, edition, pages
Linköping University Electronic Press , 2011. 1031-1038 p.
Linköping Electronic Conference Proceedings, ISSN 1650-3686 (print), 1650-3740 (online) ; vol 3 issue 57
Keyword [en]
electricity use; everyday activity sequence; visualization; activity pattern; load curve
National Category
Social Sciences Engineering and Technology
URN: urn:nbn:se:liu:diva-71928DOI: 10.3384/ecp110571031ISBN: 978-91-7393-070-3OAI: diva2:455431
WREC 2011
Available from: 2011-11-10 Created: 2011-11-10 Last updated: 2015-06-02Bibliographically approved

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Ellegård, KajsaVrotsou, Katerina
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