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Quantitative filter forensics: Size distribution and particulate matter concentrations in residential buildings.
- Source :
-
Indoor air [Indoor Air] 2021 Jul; Vol. 31 (4), pp. 1050-1060. Date of Electronic Publication: 2020 Dec 24. - Publication Year :
- 2021
-
Abstract
- We applied filter forensics, the analysis of dust from the heating, ventilation, and air-conditioning (HVAC) filters, to measure particle size distribution in 21 residences in Toronto, Canada over a year. Four filters with different nominal efficiencies (Minimum Efficiency Reporting Value (MERV) 8-14 from ASHRAE Standard 52.2) were deployed in each residence each for three months, while the effective filtration volumes (the product of flow rate, runtime, and in-situ filter efficiency) were characterized over each filter lifetime. Using extraction and laser diffraction, we found that approximately 90% of the volumetric distributions were >10 µm and the volume median diameter (VMD) ranged from 23.4 to 75.1 µm. Using quantitative filter forensics (QFF), total suspended particle (TSP) concentrations ranged from 2.9 to 823.7 µg/m <superscript>3</superscript> (median = 89.8 µg/m <superscript>3</superscript> ) with a moderate correlation with the content of TSP on the filters (in terms of g) and with the TSP effective filtration volume (m <superscript>3</superscript> ) indicating the importance of both filter forensics and HVAC metadata parameters to QFF concentration estimates. There was no strong correlation between PM <subscript>10</subscript> or PM <subscript>2.5</subscript> concentrations and hourly airborne particle number concentrations measured by low-cost sensors suggesting an evaluation of QFF is warranted, particularly for the exploration of smaller particles.<br /> (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Details
- Language :
- English
- ISSN :
- 1600-0668
- Volume :
- 31
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Indoor air
- Publication Type :
- Academic Journal
- Accession number :
- 33368774
- Full Text :
- https://doi.org/10.1111/ina.12782