A Probabilistic Prediction Model for Window Opening during Transition Seasons in Office Building

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Liu, Jing^1^2 ; Yao, Runming^2 ; McCloy, Rechel^3

School of Engineering, Zunyi Normal University, Zunyi

563002, China^1

School of Construction Management and Engineering, University of Reading, Reading

RG6 6AW, United Kingdom^2

School of Psychology, University of Reading, Reading

RG6 6AW, United Kingdom^3

关键词: Building energy performance;    Building energy saving;    Energy efficiency in buildings;    Indoor thermal conditions;    Indoor thermal environments;    Non air conditioned building;    Outdoor-air temperature;    Probabilistic prediction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022017/pdf
DOI  :  10.1088/1755-1315/310/2/022017

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Window operation of occupants in building has close relationship with indoor air quality, indoor thermal environment and building energy performance. The objective of this study was to understand occupants' interaction with window opening in transition seasons considering the influence of subject type (e.g. active and passive respondents) and to develop corresponding predictive models. An investigation was carried out in non-air-conditioned building in the UK covering the period from September to November. Outdoor temperature in this study was determined as good predictor for window operation. The differences in window opening probabilities between active and passive subjects were significant. Active occupants preferred to open window for fresh air or for indoor thermal condition adjustment, even though the outdoor air temperature sometimes were less than 12 °C. Proper utilization of windows in transition seasons contributed significantly to building energy saving and further improve energy efficiency in buildings.