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Quantitative filter forensics: Size distribution and particulate matter concentrations in residential buildings
Alireza Mahdavi1, Jeffrey A Siegel1,2
1Department of Civil and Mineral Engineering, University of Toronto (UofT), Toronto, ON, Canada.
Indoor Air
|December 28, 2020
Summary
Filter forensics analyzed HVAC dust in Toronto homes, revealing particle sizes over 10 µm. Quantitative filter forensics estimated total suspended particle concentrations, highlighting the importance of filter data and HVAC system performance.
Area of Science:
- Environmental Science
- Indoor Air Quality
- Particle Science
Background:
- Heating, Ventilation, and Air-Conditioning (HVAC) systems circulate indoor air, influencing particle exposure.
- Understanding particle size distribution and concentration is crucial for indoor air quality assessment.
- Filter forensics offers a novel approach to characterizing airborne particles within residential environments.
Purpose of the Study:
- To measure particle size distribution and total suspended particle (TSP) concentrations in residential indoor air using filter forensics.
- To evaluate the relationship between filter characteristics, HVAC system operation, and quantitative filter forensics (QFF) concentration estimates.
- To assess the utility of filter forensics for indoor air quality monitoring, particularly for smaller particles.
Main Methods:
- Deployment of four filters (MERV 8-14) in 21 Toronto residences over one year.
- Characterization of effective filtration volumes based on flow rate, runtime, and in-situ filter efficiency.
- Particle extraction from filters, laser diffraction for size distribution analysis, and quantitative filter forensics (QFF) for concentration estimation.
Main Results:
- Approximately 90% of particle volumetric distributions were greater than 10 µm, with Volume Median Diameters (VMD) ranging from 23.4 to 75.1 µm.
- Total suspended particle (TSP) concentrations varied widely (2.9–823.7 µg/m³), showing moderate correlation with filter loading and effective filtration volume.
- No strong correlation was found between PM10/PM2.5 concentrations and low-cost sensor data, suggesting limitations in current low-cost sensor evaluations.
Conclusions:
- Filter forensics is a viable method for assessing particle size distribution and TSP concentrations in homes.
- Integrating filter forensics with HVAC metadata provides more accurate QFF concentration estimates.
- Further research into QFF is recommended for evaluating smaller airborne particles and improving indoor air quality monitoring.
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