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

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Author: Koene, F.G.H. · Kluizenaar, Y. de · Bulavskaya, T. · Hoes-van Oeffelen, E.C.M. · Spiekman, M.E. · Hofstetter, H. · Opstelten, I.J.
Type:article
Date:2015
Publisher: Elsevier
Place: Amsterdam
Source:Energy Procedia, 78, 615-620
series:
Energy Procedia
Identifier: 534862
Keywords: Energy · Absence of occupants · Effective thermal mass · Generic heat transfer coeeficients · Refined model predictions · Rooms heated · Shower duration · Thermostat settings · User behavioral models · Heat transfer · Housing · Refined model · Thermal mass · Behavioral research · Energy Efficiency · Energy / Geological Survey Netherlands · Fluid & Solid Mechanics · HTFD - Heat Transfer & Fluid Dynamics · TS - Technical Sciences

Abstract

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.