A Case For Thermostat User Models
A Case For Thermostat User Models
复制标题
恒温器用户模型案例
DOI：
10.26868/25222708.2013.2337
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
C. Gómez
中科院分区：
文献类型：
--
作者：
B. Urban;C. Gómez
今天的“恒温器”设定点模型“天真地”假设“固定的时间表，忽略了用户控制的现实及其巨大的可变性。 更好的模型必须包括更真实的用户行为配置文件，以正确评估下一代恒温器的能源效益。从最近的恒温器现场研究的数据进行了分析，以证明与手动调节的可编程恒温器及其对观察到的和模拟的能源消耗的后果的变化和模式。一个实用的建模技术，用于描述可变设定点的时间表，并与标准，固定设定点的假设。来自马萨诸塞州波士顿附近63个公寓的室内空气温度数据被用来生成独特的每小时加热设定点时间表。这些观察到的温度历史，然后用于模拟预期的变化，由于手动恒温器调节的能源使用的公寓。当使用可变设定点而不是固定设定点时，观察到能耗存在显着差异，这表明需要改进恒温器假设并使用更现实的时间表更新模型。
Today’s� thermostat� setpoint� models� naively� assume� fixed schedules, ignoring the reality of user control and its large variability. Better models must include more realistic user-behavior profiles to correctly evaluate the energy benefits of the next generation of thermostats against a realistic baseline. Data from a recent thermostat field study were analyzed to demonstrate the variation and patterns associated with manual adjustment of programmable thermostats and its consequences on observed and simulated energy consumption. A practical modeling technique for describing variable setpoint schedules was applied and compared with standard, fixed setpoint assumptions. Room air temperature data from 63 apartments near Boston, MA were used to generate unique hourly heating setpoint schedules. These observed temperature histories were then used to model the expected variation in energy use of an apartment due to manual thermostat adjustment. Significant differences in energy consumption were observed when variable setpoints were used instead of fixed setpoints, indicating the need for improving thermostat assumptions and updating models with more realistic schedules.