Predictability of occupant presence and performance gap in building energy simulation

Ki-Uhn Ahn, Deuk-Woo Kim, Cheol-Soo Park and Pieter de Wilde

Applied Energy, 2017, vol. 208, issue C, No S0306261917304737, 1639-1652

Abstract: Occupant behavior is regarded as one of the major factors contributing to the discrepancy between simulation prediction and real energy use. Over the past several decades, occupants have been represented as fixed profiles of occupant presence in building energy simulation tools. Recently, stochastic models have been introduced to account for dynamic occupant presence. This stochastic approach is based on the premise that occupant presence can be described by empirical and probabilistic transition rules, e.g. Markov Chain.

Keywords: Occupant presence; Occupant behavior; Random walk; Energy prediction; Performance gap; Normalized cumulative periodogram (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1016/j.apenergy.2017.04.083

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