Window opening behaviour: simulations of occupant behaviour in residential buildings using models based on a field survey

Fabi Valentina, Rune Korsholm Andersen, Stefano Paolo Corgnati

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    Abstract

    Window opening behaviour has been shown to have a significant impact on airflow rates and hence energy consumption. Nevertheless, the inhabitant behaviour related to window opening in residential buildings is currently poorly investigated through both field surveys and building energy simulations. In particular, reliable information regarding user behaviour in residential buildings is crucial for suitable prediction of building performance (energy consumption, indoor environmental quality, etc.). To face this issue, measurements of indoor climate and outdoor environmental parameters and window “opening and closing” actions were performed in 15 dwellings from January to August 2008 in Denmark. Probabilistic models of inhabitants’ window “opening and closing” behaviour were developed and
    implemented in the energy simulation software IDA ICE to improve window opening and closing strategies in simulations. The present contribution extends the knowledge about the windows control in dwellings and underlines the importance of appropriate occupant behaviour models for a better prediction of energy consumptions in buildings.
    Original languageEnglish
    Title of host publicationProceedings of 7th Windsor Conference : The changing context of comfort in an unpredictable world
    Number of pages11
    Publication date2012
    Publication statusPublished - 2012
    Event7th Windsor Conference 2012: The changing context of comfort in an unpredictable world - Cumberland Lodge, Windsor great parks, London, United Kingdom
    Duration: 12 Apr 201215 Apr 2012
    Conference number: 7
    http://nceub.org.uk/

    Conference

    Conference7th Windsor Conference 2012
    Number7
    LocationCumberland Lodge, Windsor great parks
    Country/TerritoryUnited Kingdom
    CityLondon
    Period12/04/201215/04/2012
    Internet address

    Keywords

    • Occupant behaviour
    • Energy modelling
    • Energy consumptions

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