Literature DB >> 18336534

Particle loading rates for HVAC filters, heat exchangers, and ducts.

M S Waring1, J A Siegel.   

Abstract

UNLABELLED: The rate at which airborne particulate matter deposits onto heating, ventilation, and air-conditioning (HVAC) components is important from both indoor air quality (IAQ) and energy perspectives. This modeling study predicts size-resolved particle mass loading rates for residential and commercial filters, heat exchangers (i.e. coils), and supply and return ducts. A parametric analysis evaluated the impact of different outdoor particle distributions, indoor emission sources, HVAC airflows, filtration efficiencies, coils, and duct system complexities. The median predicted residential and commercial loading rates were 2.97 and 130 g/m(2) month for the filter loading rates, 0.756 and 4.35 g/m(2) month for the coil loading rates, 0.0051 and 1.00 g/month for the supply duct loading rates, and 0.262 g/month for the commercial return duct loading rates. Loading rates are more dependent on outdoor particle distributions, indoor sources, HVAC operation strategy, and filtration than other considered parameters. The results presented herein, once validated, can be used to estimate filter changing and coil cleaning schedules, energy implications of filter and coil loading, and IAQ impacts associated with deposited particles. PRACTICAL IMPLICATIONS: The results in this paper suggest important factors that lead to particle deposition on HVAC components in residential and commercial buildings. This knowledge informs the development and comparison of control strategies to limit particle deposition. The predicted mass loading rates allow for the assessment of pressure drop and indoor air quality consequences that result from particle mass loading onto HVAC system components.

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Year:  2008        PMID: 18336534     DOI: 10.1111/j.1600-0668.2008.00518.x

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  7 in total

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2.  Urban land-use and respiratory symptoms in infants.

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Journal:  Indoor Air       Date:  2014-12-27       Impact factor: 5.770

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  7 in total

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