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Predictability of occupant presence and performance gap in building energy simulation

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

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.

Suggested Citation

  • Ahn, Ki-Uhn & Kim, Deuk-Woo & Park, Cheol-Soo & de Wilde, Pieter, 2017. "Predictability of occupant presence and performance gap in building energy simulation," Applied Energy, Elsevier, vol. 208(C), pages 1639-1652.
    • Handle: RePEc:eee:appene:v:208:y:2017:i:c:p:1639-1652
    DOI: 10.1016/j.apenergy.2017.04.083
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    References listed on IDEAS

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    1. López-Rodríguez, M.A. & Santiago, I. & Trillo-Montero, D. & Torriti, J. & Moreno-Munoz, A., 2013. "Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption," Energy Policy, Elsevier, vol. 62(C), pages 742-751.
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    Cited by:

    1. Li, Tao & Liu, Xiangyu & Li, Guannan & Wang, Xing & Ma, Jiangqiaoyu & Xu, Chengliang & Mao, Qianjun, 2024. "A systematic review and comprehensive analysis of building occupancy prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).

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