liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Models of domestic occupancy, activities and energy use based on time-usedata: deterministic and stochastic approaches with application to variousbuilding-related simulations
Dept. of Engineering Sciences, Uppsala University.
Linköping University, Department of Management and Engineering, Energy Systems. Linköping University, The Institute of Technology.
Linköping University, The Tema Institute, Technology and Social Change. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-4133-1204
2012 (English)In: Journal of Building Performance Simulation, Taylor & Francis, ISSN 1940-1493, Vol. 5, no 1, 27-44 p.Article in journal (Refereed) Published
Abstract [en]

Time-use data (TUD) have a large potential for improving occupancy and load modelling and for introducingrealistic behavioural patterns into various simulations. In this article, previously developed models of occupancy,activities and energy use based on TUD are extended and described in a general framework. Two extensions arestudied: deterministic conversion of empirical TUD is extended into a complete thermal load model encompassingboth occupancy and various end-uses and a Markov-chain approach for generating synthetic TUD sequences isextended to include a model for load management. Three examples of building-related applications are presented:simulation of indoor climate in a low-energy building, household electricity load management in response to timedifferentiatedelectricity tariffs and simulations of load matching in a net zero energy building. The main conclusionis that the extended model framework can generate detailed and realistic behavioural patterns that allow diversityand correlations between end-uses to be taken into account.

Place, publisher, year, edition, pages
Taylor & Francis , 2012. Vol. 5, no 1, 27-44 p.
Keyword [en]
time-use data; occupancy; load modelling; building energy simulation; load management; Markov chain
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-70310DOI: 10.1080/19401493.2010.532569ISI: 000299344600003OAI: diva2:438291
funding agencies|Energy Systems Programme||Swedish Energy Agency||Available from: 2011-09-01 Created: 2011-09-01 Last updated: 2015-02-05

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Molin, AndreasEllegård, Kajsa
By organisation
Energy SystemsThe Institute of TechnologyTechnology and Social ChangeFaculty of Arts and Sciences
In the same journal
Journal of Building Performance Simulation, Taylor & Francis
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 114 hits
ReferencesLink to record
Permanent link

Direct link