Demand Controlled Ventilation using CO₂ Sensors in a Wireless Sensor Network

One of 25 reports in the series: Research Experiences for Teachers in Sensor Networks available on this site.

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Description

This report discusses research on demand controlled ventilation using CO₂ sensors in a wireless sensor network. The focus of this research project was to investigate Indoor Air Quality (IAQ) monitoring technologies, government regulations and policies, and best practices to improve IAQ. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.

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22 p.: ill.

Creation Information

Parsons, David; Jordan, Georgette; Li, Xinrong; Thompson, Ruthanne & Abraham, Sherin 2013.

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This report is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 725 times. More information about this report can be viewed below.

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Description

This report discusses research on demand controlled ventilation using CO₂ sensors in a wireless sensor network. The focus of this research project was to investigate Indoor Air Quality (IAQ) monitoring technologies, government regulations and policies, and best practices to improve IAQ. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.

Physical Description

22 p.: ill.

Notes

Abstract: The focus of this research project was to investigate Indoor Air Quality (IAQ) monitoring technologies, government regulations and policies, and best practices to improve IAQ. The goal was to minimize the adverse effect of poor IAQ in direct relation to CO₂, by designing and testing demand controlled ventilation applications. The investigation involved: development of a cost effective indoor air quality prototype sensor unit for CO₂ levels; the testing of the unit in a simulated room environment; and collection of the data from testing. The data from the simulations was then compiled and analyzed. Additionally, literature review was instrumental in determining testing parameters and conducting experiments. This provided valuable experiences which will be shared with the educational community.

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  • National Science Foundation (U.S.) Research Experiences for Teachers in Sensor Networks Grant # 1132585

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UNT Scholarly Works

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Related Items

Demand Controlled Ventilation using CO2 Sensors in a Wireless Sensor Network [Poster] (Poster)

Demand Controlled Ventilation using CO2 Sensors in a Wireless Sensor Network [Poster]

Poster presented as part of the 2013 Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project. This poster discusses research on demand controlled ventilation using CO₂ sensors in a wireless sensor network.

Relationship to this item: (Is Referenced By)

Demand Controlled Ventilation using CO2 Sensors in a Wireless Sensor Network [Poster], ark:/67531/metadc181659

Indoor Air Quality: CO₂ Sensors and Demand Controlled Ventilation (Presentation)

Indoor Air Quality: CO₂ Sensors and Demand Controlled Ventilation

This presentation discusses research on indoor air quality (IAQ) and building a small IAQ control system using Arduino microcontroller board and micro gas sensors (CO2, O3, etc.). This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.

Relationship to this item: (Is Referenced By)

Indoor Air Quality: CO2 Sensors and Demand Controlled Ventilation, ark:/67531/metadc226884

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  • 2013

Added to The UNT Digital Library

  • Sept. 13, 2013, 2:58 p.m.

Description Last Updated

  • Nov. 3, 2014, 12:03 p.m.

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Parsons, David; Jordan, Georgette; Li, Xinrong; Thompson, Ruthanne & Abraham, Sherin. Demand Controlled Ventilation using CO₂ Sensors in a Wireless Sensor Network, report, 2013; (https://digital.library.unt.edu/ark:/67531/metadc181660/: accessed March 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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