带和不带智能恒温器的低能耗住宅的建筑性能评估

IF 1.5 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Building Services Engineering Research & Technology Pub Date : 2022-03-02 DOI:10.1177/01436244221077344
Rajat Gupta, M. Gregg
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引用次数: 2

摘要

智能恒温器允许对室内温度进行持续学习、远程调度和控制。本文实证评估了三个装有智能恒温器的低能耗住宅的室内环境条件、居住者体验和夏季过热率,并将结果与三个装有标准可编程恒温器的类似住宅进行了比较。该研究使用了建筑性能评估方法,将2019-2020年期间温度、相对湿度和开窗的时间序列数据与居住者对热舒适度和供暖控制的感知调查数据相结合。虽然有智能恒温器和没有智能恒温器的住宅在测量和感知的室内温度方面几乎没有差异,但这六个住宅在供暖和控制室内环境方面有所不同。在供暖季节,在装有智能恒温器的住宅中观察到16oC至22oC的宽室内温度范围。大多数住宅也经历了夏季过热,卧室温度高达34摄氏度。个人加热偏好主导了智能或标准恒温器的使用,从Cool Conserver、On-off Switcher到On demand Sizzler。至关重要的是,能源模型要考虑一系列供暖偏好,以避免预期与现实之间的差距。实际应用:带智能恒温器的住宅的实际使用性能对于其大规模部署是必要的。记录了广泛的恒温器行为;因此,至关重要的是,能源模型要考虑一系列供暖偏好,以最大限度地缩小能源模型与现实之间的差距。随着智能家电和控制变得越来越普遍,研究结果表明,他们需要驻地培训和故障排除支持,以确保智能恒温器能够实现预期的效益。由于大多数案例研究住宅都经历了夏季过热,因此建筑设计通过被动措施解决过热问题也至关重要。
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Building performance evaluation of low-energy dwellings with and without smart thermostats
Smart thermostats allow continuous learning, remote scheduling and control of indoor temperature. This paper empirically evaluates indoor environmental conditions, occupant experiences and prevalence of summertime overheating in three low-energy dwellings with smart thermostats and compares the results with three similar dwellings with standard programmable thermostats. The study uses building performance evaluation methods combining time-series data on temperature, relative humidity and window opening with survey data on occupant perception of thermal comfort and heating control over the period 2019–2020. While there was little difference observed in the measured and perceived indoor temperatures between dwellings with and without smart thermostats, the six dwellings were different in the way they heated their homes and controlled their indoor environment. A wide indoor temperature range of 16oC–22oC was observed in dwellings with smart thermostats during the heating season. The majority of dwellings also experienced summertime overheating with temperatures in bedrooms going up to 34oC. Individual heating preferences dominated the use of smart or standard thermostats ranging from Cool Conserver, On-off Switcher to On-demand Sizzler. It is vital that energy models consider a range of heating preferences to avoid a gap between expectation and reality. Practical application: Actual in-use performance of dwellings with smart thermostats is necessary for their large-scale deployment. A wide range of thermostat behaviours are documented; therefore, it is vital that energy models consider a range of heating preferences to minimise the gap between energy models and reality. As smart home appliances and controls become more commonplace, the findings demonstrate their need for resident training and trouble-shooting support to ensure smart thermostats deliver their expected benefits. Since most of the case study dwellings experienced summertime overheating, it is also vital that building design tackles overheating through passive measures.
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来源期刊
Building Services Engineering Research & Technology
Building Services Engineering Research & Technology 工程技术-结构与建筑技术
CiteScore
4.30
自引率
5.90%
发文量
38
审稿时长
>12 weeks
期刊介绍: Building Services Engineering Research & Technology is one of the foremost, international peer reviewed journals that publishes the highest quality original research relevant to today’s Built Environment. Published in conjunction with CIBSE, this impressive journal reports on the latest research providing you with an invaluable guide to recent developments in the field.
期刊最新文献
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