TY - JOUR
T1 - Understanding patterns of adaptive comfort behaviour in the Sydney mixed-mode residential context
AU - Kim, Jungsoo
AU - de Dear, Richard
AU - Parkinson, Thomas
AU - Candido, Christhina
PY - 2017/4/15
Y1 - 2017/4/15
N2 - The role of occupants is important as building energy consumption is significantly attributed to their behaviour. Given the diverse activities within, and high levels of personal control over the indoor environment, occupants' behaviour is one of the key uncertainties in predicting energy use in the residential sector. With an aim to better understand residential adaptive thermal comfort behaviours, longitudinal field observations were conducted with smartphone surveys and simultaneous temperature measurements in a sample of Australian homes (n = 42). This paper derives statistical models to enable predicting of the percentage of adaptive strategies in use (e.g. operation of air-conditioners, heaters, fans and windows), as a function of temperature. The analysis on our Sydney sample indicated that an outdoor temperature of 25 °C was the most favourable condition, inclusive of all seasons investigated throughout the 2-year monitoring period, maximising the use of natural ventilation and simultaneously minimising the householders' dependence on their home air-conditioning system. This study also revealed personal and demographic characteristics that can have a significant impact on the householder's decision to use their air-conditioning system.
AB - The role of occupants is important as building energy consumption is significantly attributed to their behaviour. Given the diverse activities within, and high levels of personal control over the indoor environment, occupants' behaviour is one of the key uncertainties in predicting energy use in the residential sector. With an aim to better understand residential adaptive thermal comfort behaviours, longitudinal field observations were conducted with smartphone surveys and simultaneous temperature measurements in a sample of Australian homes (n = 42). This paper derives statistical models to enable predicting of the percentage of adaptive strategies in use (e.g. operation of air-conditioners, heaters, fans and windows), as a function of temperature. The analysis on our Sydney sample indicated that an outdoor temperature of 25 °C was the most favourable condition, inclusive of all seasons investigated throughout the 2-year monitoring period, maximising the use of natural ventilation and simultaneously minimising the householders' dependence on their home air-conditioning system. This study also revealed personal and demographic characteristics that can have a significant impact on the householder's decision to use their air-conditioning system.
KW - Thermal comfort
KW - Behaviour modelling
KW - Adaptation
KW - Building simulation
KW - Air conditioning
KW - Clothing
UR - http://www.scopus.com/inward/record.url?scp=85014141161&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/arc/DP11010559
U2 - 10.1016/j.enbuild.2017.02.061
DO - 10.1016/j.enbuild.2017.02.061
M3 - Article
AN - SCOPUS:85014141161
SN - 0378-7788
VL - 141
SP - 274
EP - 283
JO - Energy and Buildings
JF - Energy and Buildings
ER -