MULTIVARIATE PREDI TIVE WINDOW BLIND ONTROL MODELS FOR INTELLIGENT BUILDING FA?ADE SYSTEMS
This paper presents results from a window blind usage field study that was conducted in California, USA. In this study, the measurements of physical environmental conditions were cross-linked with participants window blind controlling preferences (n=83). A total of seven predictive window blind control multivariate logistic models were derived. As hypothesized, the probability of a window blind closing event increased as the magnitude of physical environmental and confounding factors increased (p <. 01). The main predictors were window/ background luminance level and vertical solar radiation at the window. The confounding factors included M T, direct solar penetration, and participants self-reported sensitivity to brightness. The results showed that the models correctly predict between 84 – 89 ％ of the observed window blind control behavior. This research extends the knowledge of how and why building occupants manually control window blinds in private offices, and provides results that can be directly implemented in energy simulation programs.
Venetian blinds occupants’ control control model intelligent fa(c)ade
Vorapat Inkarojrit
Department of Architecture, Faculty of Architecture, Chulalongkorn University ；Phaya Thai oad, Patumwan, Bangkok 10330 Thailand,
国际会议
北京
英文
2007-09-03（万方平台首次上网日期，不代表论文的发表时间）