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Matt Young1802_MS Thesis_2019.pdf (3.44 MB)

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Towards the Integration of Low-cost Sensors into Smart Building Systems for Indoor Air Quality Purposes

Young, Matthew W
http://rave.ohiolink.edu/etdc/view?acc_num=osu1573798188009717

Abstract Details

2019, Master of Science, Ohio State University, Environmental Science.
There is a growing interest in the ability to monitor and control indoor air quality (IAQ) via low-cost sensors. Because of their adverse health effects, there is specific interest in sensing particles with diameters less than 2.5 micrometers (PM2.5). Many sensors have become available for monitoring PM2.5 in recent years, but there is no consensus that they perform well enough to be used in smart building systems (i.e., ventilation or air cleaning control), without compromising IAQ. We provide a review of documented errors in low-cost particle sensors, characterize the performance of low-cost PM2.5 sensors for smart control of indoor environments through a simulation campaign, and offer suggestions for standardization of a testing protocol. Lastly, we explore one potential application of low-cost sensors for smart building systems: modulation of ventilation in response to grid signals in commercial buildings. Using the dynamic building simulation platform EnergyPlus, we simulate typical peak power shedding events during which ventilation is temporarily curtailed in a way that is imperceptible to occupants. We conduct such simulations for 9 building types, in 15 climate zones. Preliminary results show that this strategy can reduce peak electric power demand by an average of 0.32 W/ft^2 or 9% across the United States and across building types. Buildings with greater occupancy density have shorter available power shed and greater savings, while less densely occupied buildings have longer available shed but lesser savings.
Jordan Clark, PhD (Advisor)
Mahesh Illindala, PhD (Committee Member)
Andrew May, PhD (Committee Member)
119 p.
Civil Engineering; Environmental Engineering
indoor air quality; particulate matter sensors; low-cost sensors; peak demand reduction; equivalent ventilation; smart ventilation

Recommended Citations

Citations

  • Young, M. W. (2019). Towards the Integration of Low-cost Sensors into Smart Building Systems for Indoor Air Quality Purposes [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1573798188009717

    APA Style (7th edition)

  • Young, Matthew. Towards the Integration of Low-cost Sensors into Smart Building Systems for Indoor Air Quality Purposes. 2019. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1573798188009717.

    MLA Style (8th edition)

  • Young, Matthew. "Towards the Integration of Low-cost Sensors into Smart Building Systems for Indoor Air Quality Purposes." Master's thesis, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1573798188009717

    Chicago Manual of Style (17th edition)

osu1573798188009717
389
© 2019, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.