Development and assessment of a physics-based simulation model to investigate residential PM2.5 infiltration across the US housing stock

Logue, J. M.; Sherman, M. H.; Lunden, M. M.; Klepeis, N. E.; Williams, R.; Croghan, C.; Singer, B. C.

doi:10.1016/j.buildenv.2015.06.032

Title: Development and assessment of a physics-based simulation model to investigate residential PM_2.5 infiltration across the US housing stock

Journal Article · Fri Jul 10 00:00:00 EDT 2015 · Building and Environment

DOI:https://doi.org/10.1016/j.buildenv.2015.06.032· OSTI ID:1506246

Logue, J. M. ^[1]; Sherman, M. H. ^[1]; Lunden, M. M. ^[2]; Klepeis, N. E. ^[3]; Williams, R. ^[4]; Croghan, C. ^[4]; Singer, B. C. ^[1]

Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Aclima Inc., San Francisco, CA (United States)
Stanford University, CA (United States); San Diego State University, CA (United States)
US Environmental Protection Agency (EPA), Research Triangle Park, NC (United States)

The Lawrence Berkeley National Laboratory Population Impact Assessment Modeling Framework (PIAMF) was expanded here to enable determination of indoor PM_2.5 concentrations and exposures in a set of 50,000 homes representing the US housing stock. A mass-balance model is used to calculate time-dependent pollutant concentrations within each home. The model includes size- and species-dependent removal mechanisms. The particle model was applied to the housing samples of the Relationship of Indoor, Outdoor, and Personal Air (RIOPA) and The Detroit Exposure and Aerosol Research Study (DEARS) studies to compare model- and measurement-based estimates of indoor PM_2.5 of outdoor origin. Model-derived distributions of infiltration factors (ratio of indoor PM_2.5 of outdoor origin to outdoor PM_2.5) are compared to measurement-based distributions obtained in studies conducted in 11 US cities.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); US Environmental Protection Agency (EPA), Research Triangle Park, NC (United States)

Sponsoring Organization:: USEPA; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC02-05CH11231; I–PHI-01070; DW-89-9232201-7

OSTI ID:: 1506246

Alternate ID(s):: OSTI ID: 1252818

Journal Information:: Building and Environment, Vol. 94, Issue P1; ISSN 0360-1323

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 13 works

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Title: Development and assessment of a physics-based simulation model to investigate residential PM2.5 infiltration across the US housing stock

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Title: Development and assessment of a physics-based simulation model to investigate residential PM_2.5 infiltration across the US housing stock