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Occupant Behaviour and Thermal Conditions in Small Commercial Buildings: A Longitudinal Study Using Smart Thermostat Data

机译:小型商业建筑的居住者行为和热条件:使用智能恒温器数据的纵向研究

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摘要

The occupant response to thermal discomforts plays a significant role in uncertainties associated with modeling and implementing building energy performance measures. In particular, for managers of small commercial buildingportfolios, a better understanding of the occupants' interactions with the HVAC system is necessary for managing these uncertainties and reducing discrepancies between predicted and actual energy use. In Canada, these buildings are currently underserved by energy conservation and thermal analysis tools because of their dispersion and lower payback potential. Smart thermostats, along with their centralized data collection platform, provide an efficient and low-cost solution to collect massive amounts of data from a portfolio of these buildings that can be used to improve the understanding of the occupants' behaviours and preferred thermal conditions. This paper presents the results of a longitudinal study based on the smart thermostat data from a portfolio of more than 240 small commercial buildings located in Ontario, Canada. We analysed the occupant-thermostat interactions, as well as the HVAC setpoints adjusted by the portfolio manager, to answer two main questions: 1) what contextual factors are associated with the initializing of overrides in the portfolio of small commercial buildings, and 2) how do the thermal conditions managed by HVAC schedules (that are based on seasonality and occupants' feedback) and occupant overrides reflect industry-standard criteria; specifically PMV? The results can help the portfolio managers to better understand the users' interactions with the HVAC system under various circumstances and create efficient energy conservation programs while meeting the occupants' thermal preferences and organizational productivity.
机译:居住者对热不适的反应在与建模和实施建筑能源性能测量相关的不确定性中起着重要作用。特别是,对于小型商业建筑组合的管理者来说,更好地了解居住者与暖通空调系统的相互作用对于管理这些不确定性和减少预测能源使用与实际能源使用之间的差异是必要的。在加拿大,这些建筑目前缺乏节能和热分析工具的服务,因为它们的分散性和较低的投资回收潜力。智能恒温器及其集中式数据收集平台提供了一种高效且低成本的解决方案,可以从这些建筑物的投资组合中收集大量数据,这些数据可用于提高对居住者行为和首选热条件的理解。本文介绍了一项纵向研究的结果,该研究基于位于加拿大安大略省的 240 多座小型商业建筑组合的智能恒温器数据。我们分析了居住者与恒温器的相互作用,以及由投资组合经理调整的 HVAC 设定值,以回答两个主要问题:1) 哪些背景因素与小型商业建筑组合中的覆盖初始化相关,以及 2) HVAC 计划(基于季节性和居住者的反馈)和居住者覆盖管理的热条件如何反映行业标准标准;特别是PMV?研究结果可以帮助投资组合经理更好地了解用户在各种情况下与暖通空调系统的交互,并制定有效的节能计划,同时满足居住者的热偏好和组织生产力。

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