A thermal preference scale for personalized comfort profile identification via participatory sensing

摘要: Abstract Thermal comfort is the main driving factor in determining heating, ventilation and air conditioning (HVAC) systems' operational settings. Current building management systems (BMS) operate according to conservatively defined standardized Many dynamic environmental human related variables affect occupant thermal buildings, calling for flexibility HVAC operations by integrating user preferences. This paper builds on vision that a participatory sensing based approach could be used preferences into logic of real time continuous basis. The emphasizes requirements improving data acquisition proposing preference scale. Several guiding features, which potentially improve users' expressions preferences, were evaluated. Interface usability evaluation methods, including think aloud assessment studies task execution surveys, order assess proposed alternatives. Moreover, field experiment was conducted explore factors, vote, control parameters. results showed sensation scale outperforms five-level ASHRAE like addition features helps increase consistency between expectations their votes. study ambient temperature most effective Consequently, set points as parameter personalized without any need retrofitting system components.