Integrating Internet of Things (IoT) Approach to Post-Occupancy Evaluation (POE): An Experimental At-the-Moment Occupant Comfort Control System

E. Rasheed, Kris Wang, Ali Hashemi, Masoud Mahmoodi, Kajavathani Panchalingam
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Abstract

This paper describes an empirical experiment of Internet of Things (IoT)’s integration in the Post-Occupancy Evaluation (POE) process. The experiment aimed to trial a novel IoT approach to enabling building user responsiveness to prevalent IEQ for individualised comfort. The purpose is to provide a system that mitigates a common issue of centralised air conditioning that limits occupants’ control over their immediate environment. To achieve this, an IoT platform was developed with smart IEQ monitoring sensors and wearable devices and trialled with PhD researchers in a shared university workspace. The findings provided empirical evidence of IoT’s enhanced benefits to improving user control over their individual comfort and enabling positive energy behaviour in buildings. Specifically, the IoT system provided real-time insight into CO2 concentration data while enabling responsive occupant interaction with their immediate environment and at-the-moment mitigation actions. Outputs of the experiment showed that the perceptions of participants about the stuffiness of the air, productivity, and healthy environment were significantly better after taking the mitigation action compared to before. Also, we found a significant relationship between measured CO2 concentration readings and perceived air stuffiness (p = 0.004) and productivity (p = 0.006) and a non-significant relationship between CO2 concentration readings and perceived healthy environment (p = 0.058). Interestingly, we observed that irrespective of the similarities in recorded CO2 concentration readings being within acceptable ranges (632–712 ppm), the perception of air stuffiness significantly differed (p = 0.018) before and after the mitigation actions. The effectiveness of the developed IoT platform was evidenced as most of the participants found the process very easy to participate in with little interruptions to their work as little time was consumed. The results are useful in modifying approaches to building occupant comfort and energy behaviour in commercial and residential settings.
将物联网(IoT)方法与入住后评估(POE)相结合:实验性即时居住者舒适控制系统
本文介绍了一项将物联网(IoT)融入入住后评估(POE)流程的实证实验。该实验旨在试用一种新颖的物联网方法,使建筑物用户能够对普遍存在的 IEQ 做出响应,从而获得个性化的舒适度。其目的是提供一种系统,以缓解集中式空调限制用户对其周围环境控制的常见问题。为此,我们开发了一个物联网平台,配备智能 IEQ 监测传感器和可穿戴设备,并与博士研究人员在共享的大学工作区进行了试用。研究结果提供了实证证据,证明物联网在改善用户对个人舒适度的控制和促进建筑物内积极的能源行为方面具有更大的优势。具体地说,物联网系统提供了对二氧化碳浓度数据的实时洞察力,同时使用户能够与周围环境进行互动,并在第一时间采取缓解措施。实验结果表明,采取减排措施后,参与者对空气闷热程度、工作效率和健康环境的感知明显好于之前。此外,我们还发现测量的二氧化碳浓度读数与感知的空气闷热度(p = 0.004)和生产率(p = 0.006)之间存在显著关系,而二氧化碳浓度读数与感知的健康环境(p = 0.058)之间没有显著关系。有趣的是,我们观察到,尽管记录的二氧化碳浓度读数都在可接受范围内(632-712 ppm),但在采取缓解措施前后,人们对空气闷热的感知存在显著差异(p = 0.018)。开发的物联网平台的有效性得到了证明,因为大多数参与者都认为该过程非常容易参与,由于耗费的时间很少,几乎不会影响他们的工作。这些结果有助于修改商业和住宅环境中建筑使用者舒适度和能源行为的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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