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首页> 外文期刊>Building and Environment >Occupant comfort and behavior: High-resolution data from a 6-month field study of personal comfort systems with 37 real office workers
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Occupant comfort and behavior: High-resolution data from a 6-month field study of personal comfort systems with 37 real office workers

机译：乘员的舒适度和行为：来自37位实际上班族的为期6个月的个人舒适系统实地研究的高分辨率数据

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Personal Comfort Systems (PCS) provide individual occupants local heating and cooling to meet their comfort needs without affecting others in the same space. It saves energy by relaxing ambient temperature requirements for the HVAC system. Aside from these benefits, PCS offers a wealth of data that can describe how individuals interact with heating/cooling devices in their own environment. Recently developed Internet-connected PCS chairs have unlocked this opportunity by generating continuous streams of heating and cooling usage data, along with occupancy status and environmental measurements via embedded sensors. The data allow individuals' comfort and behavior to be learned, and can inform centralized systems to provide 'just the right' amount of conditioning to meet occupant needs. In summer 2016, we carried out a study with PCS chairs involving 37 occupants in an office building in California. During the study period, we collected 5 million chair usage data-points and 4500 occupant survey responses, as well as continuous measurements of environmental and HVAC system conditions. The data analysis shows that (1) local temperatures experienced by individual occupants vary quite widely across different parts of the building, even within the same thermal zone; (2) occupants often have different thermal preferences even under the same thermal conditions; (3) PCS control behavior can dynamically describe individuals' thermal preferences; (4) PCS chairs produce much higher comfort satisfaction (96%) than typically achieved in buildings. We conclude that PCS not only provide personalized comfort solutions but also offer individualized feedback that can improve comfort analytics and control decisions in buildings.
机译：个人舒适系统（PCS）为个人乘客提供局部供暖和制冷功能，以满足他们的舒适需求，而不会影响同一空间中的其他人。通过放宽HVAC系统的环境温度要求，可以节省能源。除了这些好处，PCS还提供大量数据，这些数据可以描述个人如何与自己环境中的加热/冷却设备进行交互。最近开发的与Internet连接的PCS椅子通过生成连续的供热和制冷使用数据流以及通过嵌入式传感器的占用状态和环境测量结果，从而释放了这一机会。数据可让人们了解个人的舒适度和行为，并可以通知集中式系统提供“恰到好处”的调节量，以满足乘客的需求。 2016年夏季，我们在加利福尼亚的一栋办公楼中使用PCS椅子进行了一项研究，涉及37名居住者。在研究期间，我们收集了超过500万个椅子使用数据点和4500名在座人员的调查回复，以及对环境和HVAC系统条件的连续测量。数据分析表明：（1）各个居住者所经历的局部温度在建筑物的不同部分之间变化很大，即使在同一热区内也是如此； （2）即使在相同的热条件下，乘员通常也具有不同的热偏好； （3）PCS控制行为可以动态描述个人的热偏好； （4）PCS椅子产生的舒适感要比建筑物中通常达到的舒适感要高得多（96％）。我们得出的结论是，PCS不仅提供个性化的舒适解决方案，还提供个性化的反馈，可以改善建筑物的舒适性分析和控制决策。

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