Study on Window Opening Algorithm to Predict Occupant Behaviour in Japanese Houses

Rijal Hom Bahadur; Humphreys Michael A.; Nicol J. Fergus

doi:10.18948/shasetaikai.2014.6.0_5

平成26年度大会（秋田）学術講演論文集　第６巻　温熱環境評価編

セッションID: C-2

DOI https://doi.org/10.18948/shasetaikai.2014.6.0_5

会議情報

主催: 公益社団法人空気調和・衛生工学会

Study on Window Opening Algorithm to Predict Occupant Behaviour in Japanese Houses

*Rijal Hom Bahadur, Humphreys Michael A., Nicol J. Fergus

著者情報

キーワード: Houses, Field Study, Occupant Behaviour, Comfort Temperature, Logistic Regression, Window Opening Algorithm

会議録・要旨集フリー

詳細

抄録

The proportion of ‘open window' in the free running mode is significantly higher than that in the cooling and heating modes. The window opening is related to the indoor or outdoor air temperature. Window opening behaviour as predicted by logistic regression analysis is in agreement with the measured data. These findings can be applied to develop an adaptive algorithm for window opening behaviour in Japanese residences.

責任著者(Corresponding author)

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会議情報

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