4.7 Article

A preliminary research on the derivation of typical occupant behavior based on large-scale questionnaire surveys

Journal

ENERGY AND BUILDINGS
Volume 117, Issue -, Pages 332-340

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2015.09.055

Keywords

Occupant behavior; Data mining; Building energy simulation; Questionnaire survey

Funding

  1. Natural Science Foundation of China [51521005]
  2. International Energy Agency Energy in Buildings Communities Program (IEA EBC) [Annex 66]

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Occupant behavior is a major contributing factor to building energy consumption. Large discrepancies might occur when occupants with diverse types in terms of behavior patterns reside in an identical building. Moreover, it is vital to derive several kinds of typical occupant behavior that represent the assemblage of occupants in a simplified way as the reference for building designers and energy policy makers. This paper presents a preliminary research on occupant behavior categorization through the building energy simulation, where some typical occupant air-conditioning behavior patterns use in Chengdu, China have been derived from a large-scale questionnaire survey based on the energy consumption levels. These typical occupant behavior patterns could be used as the context for an overview of building energy in a community, as well as the evaluation of building energy-saving technology where occupants are involved. Further efforts are required in the algorithm of dividing occupant behavior into typical patterns, the validation of the classification results, and the analysis of other behaviors. (C) 2015 Elsevier B.V. All rights reserved.

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