Architectural energy saving is a key approach to reducing energy consumption,particularly in residential areas where the potential for energy-saving behaviors among residents needs in-depth exploration.Data are collected through surveys to understand the differences in energy-saving behaviors across regions,and analyze various patterns of behavior.These include behaviors directly related to appliance usage and others not involving appliances.Specifically,field tests on appliance usage behaviors are conducted in regions with hot summers and warm or cold winters,to develop corresponding energy-saving behavior models.Data are gathered on actual air conditioner usage and applied to behavior models for creating models based on probability functions in Taizhou and Guangzhou.Test results show that the critical temperature for air conditioner activation is 29.8 ℃ in Guangzhou and 28.8 ℃ in Taizhou.Establishing this behavior model will not only improve the accuracy of energy consumption simulations,but also provide a scientific basis for thermal design,thereby facilitating the practical application of building energy saving.
residential buildingsbehavioral energy savingbuilding thermal engineeringbuilding energy conservationenergy behaviour
NETL
NSTL
万方数据
