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Diverse occupant behaviors and energy conservation opportunities for university student residences in Hong Kong

机译：香港大学生居民的多元占用行为和节能机会

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Occupant behavior significantly influences building energy consumption. However, two research gaps exist, namely, the lack of firsthand data for a complete understanding of the complex and stochastic nature of occupant behavior, and the limited consideration given to socio-psychological factors in the classification of behavior modes. This study aims to expand on the existing database of occupant behavior and propose an interdisciplinary classification framework of behavior modes. First, a hierarchy of behavior modes was developed considering occupants? demand for comfort, preference for certain behavior, and energy dependence. Occupants were classified as ?Active, Moderate, and Cautious? energy users. Then, the proposed ?AMC? hierarchy was verified via a case study using a high-rise student residence in Hong Kong. Mixed methods were applied, including a questionnaire survey of 137 students, in-situ monitoring of adaptive behaviors using noninvasive sensors in 12 rooms, building energy simulation validated by full-season metered energy use data, and scenario analysis considering multifaceted factors. The results show that, interestingly, observable discrepancy of behavior patterns exists even among users of the same sort. Also, five key influencing factors, i.e. room orientation, floor, schedule, room temperature settings, and behavior modes of active, moderate and cautious users, explain 79% of the difference in cooling energy consumption, among which behavior modes induce the largest contribution. In addition, technical and socio-psychological barriers impede energy saving of active and moderate users. Although behavior changes may conserve up to 45% of cooling energy consumption, skillful selection of appropriate interventions is necessary in order to fulfill the expectancy.
机译：占用行为显着影响建设能源消耗。然而，存在两项研究差距，即缺乏第一手数据，以完全了解乘员行为的复杂和随机性质，以及在行为模式的分类中给予社会心理因素的有限考虑。本研究旨在扩展现有的占用行为数据库，并提出行为模式的跨学科分类框架。首先，考虑占用者的行为模式的层次结构？对舒适性的需求，对某些行为的偏好以及能量依赖性。占用者被归类为？活跃，温和，谨慎？能源用户。那么，提议？AMC？通过在香港的高层学生居住的案例研究中通过案例研究核实了层次结构。应用混合方法，包括137名学生的问卷调查，在12间客房中使用非侵入性传感器的自适应行为的原位监测，通过全季计量能源使用数据验证的能量模拟，以及考虑多方面因素的情况分析。结果表明，即使在同一排序的用户中，有趣的是，即使在相同排序的用户中也存在可观察的行为模式的差异。此外，五个关键影响因素，即房间定位，地板，日程安排，室温设置和行为模式的活跃，中等和谨慎的用户，解释了79％的冷却能耗差异，其中行为模式诱导了最大的贡献。此外，技术和社会心理障碍阻碍了活跃和中等用户的节能。虽然行为变化可能会节省高达45％的冷却能耗，但熟练选择适当的干预措施，以满足期望。

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