Application of Methods for
Evaluating Air Cleaner
Performance

Nelson, P.R.; Sears, S.B.; Heavner, D.L.

doi:10.1159/000463233

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…In order to reduce indoor particle concentration, more and more air cleaners have been used and many researchers have investigated their performances. 4–6 According to a review article by Nazaroff, 7 the indoor particle transport is influenced by many factors including the particle category, clean air delivery rate (CADR), room geometry, roughness of room surfaces and thermal plume generated by human bodies or other devices. There exist many experimental or numerical investigations on these issues, 8–10 but most studies on the removal ability of air cleaners usually assumed that the air mixing in indoor environment is perfect and contaminant concentration is uniformly distributed, which means the location of the air cleaner has no effect on its particle removal efficiency.…”

Section: Introductionmentioning

confidence: 99%

Particle transport characteristics in indoor environment with an air cleaner

Jin

Yang

et al. 2016

Indoor and Built Environment

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Air cleaner is one of the viable options for particle removal in the indoor environment. Therefore, it is vital to understand the performances of air cleaners under various working conditions. In this work, the models for airflow pattern and particle transport in a room with an air cleaner were developed by combining the Lagrangian discrete trajectory model with the Eulerian fluid method. The effects of the operating conditions of the air cleaner on the particle transport characteristics were numerically investigated, including the volumetric flow rate and positioning of the air cleaner as well as the ejection orientation of the outlet air. The results show that the volumetric flow rate of the air cleaner is a key parameter affecting the particle concentration in the indoor environment. At low volumetric flow rates, the location of the air cleaner plays a significant role in the air cleaner performance. There is little difference in the removal processes of airborne particles between the horizontal and upward ejections of the air cleaner, but they are both superior to that with the downward ejection.

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Section: Introductionmentioning

confidence: 99%

Particle transport characteristics in indoor environment with an air cleaner

Jin

Yang

et al. 2016

Indoor and Built Environment

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“…), which are the source and sink of particles, respectively. Quite a few studies have been carried out to evaluate the performance of the air cleaner (Nelson et al 1993; Ongwandee and Kruewan 2013;Ardkapan et al 2014;Zhang et al 2010;Kang et al 2008;Chen et al 2010;Jin et al 2015;Qian et al 2010). The investigations indicate that the position of the air cleaner is a key parameter, which influences the airflow patterns and leads to different removal efficiencies (Zhang et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Particle transport characteristics in indoor environment with an air cleaner: The effect of nonuniform particle distributions

et al. 2016

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Air cleaners are expected to improve the indoor air quality by removing the gaseous contaminants and fine particles. In our former work, the effects of the air cleaner on removing the uniformly distributed particles were numerically investigated. Based on those results, this work further explores the performances of the air cleaner in the reduction of two nonuniform particle distributions generated by smoking and coughing. The Lagrangian discrete trajectory model combined with the Eulerian fluid method is employed to simulate the airflow pattern and particle transport in a room. In general, the results show that the particle fates have been resulted from the interaction between the emitting source and the air cleaner. And the position of the air cleaner is a key parameter affecting the particle concentration, for which a shorter distance between the air cleaner and the human body corresponds to a lower concentration. Besides, the air velocity emitted from the human mouth and the orientation of the air cleaner can also influence the transport of particles.

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“…To quantify the pollutant removal efficiency of the FastAir prototype, CADR was calculated based on the following simplified Equation (7), according to Nelson et al (1993) [ 29 ].

where CADR is the clean air delivery rate (m 3 /s), ƞ is the single-pass particle removal efficiency of the device (between 0 and 1), and Q is the standard volumetric flow rate (m 3 /s) of the FastAir prototype.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of an Air Cleaning Device Equipped with Filtration and UV: Comparison of Removal Efficiency on Particulate Matter and Viable Airborne Bacteria in the Inlet and Treated Air

Kozieł

Macedo

et al. 2022

IJERPH

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Since the COVID-19 pandemic, improving indoor air quality (IAQ) has become vital for the public as COVID-19 and other infectious diseases can transmit via inhalable aerosols. Air cleaning devices with filtration and targeted pollutant treatment capabilities can help improve IAQ. However, only a few filtration/UV devices have been formally tested for their effectiveness, and little data is publicly available and UV doses comparable. In this research, we upgraded a particulate matter (PM) air filtration prototype by adding UV-C (germicidal) light. We developed realistic UV dose metrics for fast-moving air and selected performance scenarios to quantify the mitigation effect on viable airborne bacteria and PM. The targeted PM included total suspended particulate (TSP) and a coarse-to-fine range sized at PM10, PM4, PM2.5, and PM1. The PM and viable airborne bacteria concentrations were compared between the inlet and outlet of the prototype at 0.5 and 1.0 m3/s (low and high) air flow modes. The upgraded prototype inactivated nearly 100% of viable airborne bacteria and removed up to 97% of TSP, 91% of PM10, 87% of PM4, 87% of PM2.5, and 88% of PM1. The performance in the low flow rate mode was generally better than in the high flow rate mode. The combination of filtration and UV-C treatment provided ‘double-barrier’ assurance for air purification and lowered the risk of spreading infectious micro-organisms.

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Application of Methods for Evaluating Air Cleaner Performance

Cited by 7 publications

References 3 publications

Particle transport characteristics in indoor environment with an air cleaner

Particle transport characteristics in indoor environment with an air cleaner

Particle transport characteristics in indoor environment with an air cleaner: The effect of nonuniform particle distributions

Evaluation of an Air Cleaning Device Equipped with Filtration and UV: Comparison of Removal Efficiency on Particulate Matter and Viable Airborne Bacteria in the Inlet and Treated Air

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