1. Development of Adaptive Model and Occupant Behavior Model in Four Office Buildings in Nagasaki, Japan.
- Author
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Genjo, Kahori, Nakanishi, Haruna, Oki, Momoka, Imagawa, Hikaru, Uno, Tomoko, Saito, Teruyuki, Takata, Hiroshi, Tsuzuki, Kazuyo, Nakaya, Takashi, Nishina, Daisaku, Hasegawa, Kenichi, Mori, Taro, and Rijal, Hom Bahadur
- Subjects
LOGISTIC regression analysis ,COVID-19 ,TEMPERATURE control ,ATMOSPHERIC temperature ,FIELD research - Abstract
A field survey of indoor environmental measurements and questionnaires on thermal sensation, overall comfort, and behaviors was conducted in four office buildings in Japan by visiting each office every month over a duration of more than a year during the coronavirus disease 2019 (COVID-19) pandemic. The indoor environment was measured concurrently. We obtained 1047 votes from office workers in their 20s to 60s. The regression and Griffiths' methods were used to calculate the indoor comfort temperature. A logistic regression analysis was used to develop the occupant behavior model. Over 70% of the occupants found the indoor environment comfortable at a mean comfort temperature of 23.2 to 25.9 °C. Gender differences were observed in thermal sensation and overall comfort, but a gender difference was observed only in the cooling mode for the indoor comfort temperature. An adaptive model was developed for the office buildings in Nagasaki city to predict the indoor comfort temperature from the outdoor air temperature. The proportions of heating, cooling, and fan usage can be predicted from the outdoor air temperature using a logistic regression analysis. The adaptive model and occupant behavior model are useful for the indoor temperature control of the existing buildings and thermal simulation of the new building design. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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