Determining air-conditioning usage patterns in Singapore from distributed, portable sensors
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Author / Producer
Date
2017-09
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
In Singapore, a large portion of residential electricity consumption is typically used for space cooling. The operation patterns and respective energy consumption of residential split system air-conditioning (AC) units depend on residents’ behavior and are not well known. Singapore's National Science Experiment (NSE) is a nation-wide experiment that involves students carrying a small sensor device to collect environmental data. Over 43,000 students participated in 2015, and the experiment is still ongoing. In this study, we use the Expectation-Maximization algorithm to fit a two component Gaussian mixture model to measured data of temperature, humidity, and pressure to infer patterns of AC exposure. The daily probability profile of AC exposure of Singaporean students was determined. The results can be used as a basic dataset for thermal comfort and energy consumption behavior studies. Derived patterns of AC usage could be used in building energy simulation.
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Publication status
published
External links
Book title
CISBAT 2017 International Conference Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale
Journal / series
Volume
122
Pages / Article No.
313 - 318
Publisher
Elsevier
Event
International Conference on Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale (CISBAT 2017)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
03902 - Schlüter, Arno / Schlüter, Arno
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
08060 - FCL / FCL
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