智慧社区居民对过渡温度偏差的耐受性

IF 3.3 Q3 ENERGY & FUELS
Eve Tsybina;Viswadeep Lebakula;Piljae Im;Helia Zandi;Jeffrey Munk;Justin Hill
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引用次数: 0

摘要

选择合适的暖通空调系统或实现需求响应的正确算法可以在保持居民舒适度的同时创造显著的能源和环境收益。然而,这些选择与用户舒适度的概念密切相关,这反过来又需要用户偏好和温度设定值之间的合理匹配。虽然设定正确的温度是一个研究得很好的问题,但从一个设定值到另一个设定值的转换系统目前还没有在研究中得到彻底的解决。但是,如果一个系统在舒适设定值之外花费大量时间,居民们究竟能容忍多少呢?这项研究提供了一些关于温度偏离设定值如何影响感知居民舒适度的早期见解。我们使用了位于佐治亚州亚特兰大的一个智能社区的两周数据。我们发现系统花费20% - 50%的时间偏离设定值超过1°F。然而,我们没有发现越来越多的偏差导致居民投诉或越来越多的推翻。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resident Tolerance to Transitional Temperature Deviation in Smart Communities
Choosing the right HVAC system or the right algorithm of implementing demand response could create significant energy and environmental gains while maintaining resident comfort. However, these choices are closely related to the concept of user comfort, which in turn requires a reasonable fit between user preferences and temperature setpoints. While setting the temperature right is a well-researched question, systems in transition from one setpoint to another are currently not thoroughly addressed in research. But how tolerant the residents really are if a system spends a large share of time outside of the comfort setpoint? This study gives some early insights on how the deviation of temperature from the setpoint affect perceived resident comfort. We use two weeks of data for a smart neighborhood located in Atlanta, GA. We find that the system spends 20% - 50% of time deviating from the setpoint by more than 1°F. However, we do not find that increasing deviations cause resident complaints or increasing overrides.
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来源期刊
CiteScore
7.80
自引率
5.30%
发文量
45
审稿时长
10 weeks
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