Sakarya University Journal of Computer and Information Sciences

Yazarlar: Seçkin ARI, H. Ezzat KHALİFA, Peter WİLCOXEN, John F. DANNENHOFFER III, Can IŞIK

Konular:Bilgisayar Bilimleri, Disiplinler Arası Uygulamalar

DOI:10.35377/saucis.03.01.661229

Anahtar Kelimeler:Thermal Comfort,Modeling,Indoor Environment,PMV,PPD

Özet: This paper introduces a new measure for individual thermal comfort, inspired by the current standards for population thermal comfort, and a statistical model allowing us to imitate individuals’ thermal comfort preferences. Our approach is based on the observation that an individual has a temperature range around his or her desired temperature point in which he or she is comfortable with the surrounding thermal environment. The crucial parameters of our statistical model, which represents the thermal characteristic of individuals of building occupants, have been assumed to be normally distributed random variables so that the thermal comfort preferences of different individuals can be generated for the further simulation purposes. When aggregated to a population’s general thermal comfort parameters, the variables of these distributions have been adjusted in such a way as to bring very close consistency with the current standards, which define the criteria for acceptable thermal conditions of human occupancy in a built environment.

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