User behavioral models and their effect on predicted energy use for heating in dwellings

article






Koene, F.G.H.

Kluizenaar, Y. de

Bulavskaya, T.

Hoes-van Oeffelen, E.C.M.

Spiekman, M.E.

Hofstetter, H.

Opstelten, I.J.
Generally, a discrepancy is observed between energy use for heating of dwellings, calculated by numerical models and actual energy use. This gap may be partially attributed to differences between assumed and actual occupant behavior. To account for the gap, a number of occupant behavioral models were made on thermostat settings, the likelihood that rooms other than the living room are heated, absence of occupant and shower duration. The behavioral models were applied to a database of 27, 700 three-storey dwellings. The results show a significant reduction of the gap between calculated and actual energy use for dwellings of low thermal performance.
Topics












Absence of occupantsEffective thermal massGeneric heat transfer coeeficientsRefined model predictionsRooms heatedShower durationThermostat settingsUser behavioral modelsHeat transferHousingRefined modelThermal massBehavioral research
TNO Identifier
534862
Repository link
https://resolver.tno.nl/uuid:7b10a940-bb82-4f99-8bbe-925e79be51e0
ISSN
1876-6102
Source
Energy Procedia, 78, pp. 615-620.
Publisher
Elsevier
Collation
6 p.
Place of publication
Amsterdam
Pages
615-620
Files
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