Using IoT sensing and occupant surveys to evaluate the temporal and spatial correlations between indoor air quality and occupancy comfort in campus buildings

Samandi, Elaheh

Using IoT sensing and occupant surveys to evaluate the temporal and spatial correlations between indoor air quality and occupancy comfort in campus buildings

Samandi, Elaheh

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Samandi, Elaheh
dc.date.accessioned	2025-03-30T22:50:18Z
dc.date.available	2025-03-30T22:50:18Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/186319
dc.description	University of Technology Sydney. Faculty of Design, Architecture and Building.	en_US.UTF-8
dc.description.abstract	Environmental air quality in Sydney has been increasingly impacted over recent years by pollution from burning fossil fuels, emissions from traffic congestion and localized bushfires. In turn, raised levels of environmental air pollution can impact the indoor air quality of buildings. In university settings, with many students spending extended periods of time indoors, there is potential for environmental pollutants to penetrate buildings, increase health risks, and contribute to occupant dissatisfaction. Using a single level of a university campus building exposed to a busy road as a test case, this study aims to evaluate the temporal and spatial correlations between outdoor environmental pollution levels, indoor air quality and occupant perceptions of comfort. Indoor and outdoor mobile environmental sensors (Internet of Things, IoT, devices) will be used to monitor and collect data on levels of air pollution and other occupant comfort factors (PM2.5, PM10, CO2, temperature, humidity, etc.). In parallel, a survey of building users will assess occupant perceptions of comfort and their experience of the building. The study outcomes will demonstrate the potential for cost-effective sensors to continuously and effectively monitor air quality in campus buildings and investigate the extent to which environmental air pollution can negatively impact occupant comfort and well-being. By comparing the indoor air quality indicators of different spaces in different relation to the external environment, the study will provide valuable insights into the factors that influence indoor air quality and occupant comfort.	en_US.UTF-8
dc.format	Thesis (MBuiltEnv)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/186319/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Eleheh Samandi
dc.rights	au.edu.uts.lib/cph
dc.title	Using IoT sensing and occupant surveys to evaluate the temporal and spatial correlations between indoor air quality and occupancy comfort in campus buildings	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Environmental air quality in Sydney has been increasingly impacted over recent years by pollution from burning fossil fuels, emissions from traffic congestion and localized bushfires. In turn, raised levels of environmental air pollution can impact the indoor air quality of buildings. In university settings, with many students spending extended periods of time indoors, there is potential for environmental pollutants to penetrate buildings, increase health risks, and contribute to occupant dissatisfaction. Using a single level of a university campus building exposed to a busy road as a test case, this study aims to evaluate the temporal and spatial correlations between outdoor environmental pollution levels, indoor air quality and occupant perceptions of comfort. Indoor and outdoor mobile environmental sensors (Internet of Things, IoT, devices) will be used to monitor and collect data on levels of air pollution and other occupant comfort factors (PM2.5, PM10, CO2, temperature, humidity, etc.). In parallel, a survey of building users will assess occupant perceptions of comfort and their experience of the building. The study outcomes will demonstrate the potential for cost-effective sensors to continuously and effectively monitor air quality in campus buildings and investigate the extent to which environmental air pollution can negatively impact occupant comfort and well-being. By comparing the indoor air quality indicators of different spaces in different relation to the external environment, the study will provide valuable insights into the factors that influence indoor air quality and occupant comfort.

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http://hdl.handle.net/10453/186319