Main physical environmental drivers of occupant behaviour with regard to space heating energy demand

Valentina Fabi, Rune Korsholm Andersen, Stefano Paolo Corgnati, Francesca Venezia

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    Several studies have highlighted the significant gap between the predicted energy performance of buildings and their measured actual performance. Uncertainties regarding behaviour of building occupants are one of the key factors limiting the ability of energy simulation tools to accurately predict real building energy requirements .
    The paper focuses on the particular topics of space heating energy demand related to the occupants habits of adjusting heating set-points. The parameters influencing the user interaction with the heating control system are analyzed in literature for residential buildings, and the resulted influencing factors are illustrated.
    Statistical analysis of data coming from measurement carried out in Danish dwellings are performed to infer the probability of adjusting the thermostatic radiators valves and to determine the relationship between the (indoor and outdoor) environmental conditions and the occupants’ heating set-point preferences. The paper aims at providing a reliable basis for a more accurate description of control action models in performance simulation applications.
    Original languageEnglish
    Title of host publication10th International Conference on Healthy Buildings 2012
    Number of pages6
    PublisherInternational Society of Indoor Air Quality and Climate
    Publication date2012
    ISBN (Print)9781627480758
    Publication statusPublished - 2012
    Event10th International Conference on Healthy Buildings - Brisbane Convention & Exhibition Centre, Brisbane, Australia
    Duration: 8 Jul 201212 Jul 2012
    Conference number: 10


    Conference10th International Conference on Healthy Buildings
    LocationBrisbane Convention & Exhibition Centre
    Internet address


    • Occupant Behaviour
    • Energy modelling
    • Uncertainty
    • Indoor Environmental Quality
    • Energy consumption


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