Evaluating diverse patterns of occupant behavior regarding control-based activities in energy performance simulation


GÜÇYETER B.

FRONTIERS OF ARCHITECTURAL RESEARCH, cilt.7, sa.2, ss.167-179, 2018 (AHCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 2
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1016/j.foar.2018.03.002
  • Dergi Adı: FRONTIERS OF ARCHITECTURAL RESEARCH
  • Derginin Tarandığı İndeksler: Arts and Humanities Citation Index (AHCI), Scopus
  • Sayfa Sayıları: ss.167-179
  • Anahtar Kelimeler: Occupant behavior, Building energy performance assessment, Modeling and simulation, Probabilistic approaches, DEMAND SIMULATIONS, OFFICE BUILDINGS, STOCHASTIC-MODEL, MANUAL CONTROL, CONSUMPTION, DWELLINGS, FRAMEWORK, HOUSE, GAP
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Simulation is recognized as an effective tool for building energy performance assessment during design or retrofit processes. Nevertheless, simulation models yield deviating outcomes from the actual building performance and a significant portion of this deviation originates from the dynamic nature of occupant behavior. Literature on occupant behavior indicates that occupant behavior is not integrated into building energy performance assessment procedures with appropriate resolution, instead they are accepted as assumed and fixed data sets that usually represent the presence of occupants. This study attempts to evaluate the effect of diverse patterns of occupant behavior on energy performance simulation for office buildings. Diverse levels of sensitivity of occupant behavior on control-based activities such as using lighting apparatus, adjusting thermostat settings, and presence in space are employed through three diverse occupant behavior patterns. These occupancy patterns are correlated with three identical office spaces simulated within a conceptual office building. EDSL Tas is used to run building energy performance simulations. Effects of occupant behavior patterns on simulation outcomes are compared for five sample winter and summer workdays, with respect to heating and cooling loads. Results present findings on how diversity of occupancy profiles influences the consumption outcomes. (C) 2018 The Author. Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi.