Size resolved particle emission rates from an evolving indoor aerosol system

Koivisto, Antti Joonas; Yu, Mingzhou; Hämeri, Kaarle; Seipenbusch, Martin

doi:10.1016/j.jaerosci.2011.12.007

Cited by 30 publications

(32 citation statements)

References 26 publications

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“…Because the OPS mainly measured spherical DEHS particles (see distribution in Figure 2) with known refractive index, the mobility equivalent diameter correspond to the optical diameter (Heim et al 2008). Also, first removing two size cannels from the OPS reduced the number of coincidence errors, and removing the SMPS over 487 nm size fractions reduced problems in the SMPS multiple charge particle correction routine (Koivisto et al 2012).…”

Section: Particle Measurementsmentioning

confidence: 99%

A New Clean Air Delivery Rate Test Applied to Five Portable Indoor Air Cleaners

Mølgaard

Koivisto

Hussein

et al. 2014

Aerosol Science and Technology

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Air pollution has been recognised as one of the major risk factors for the global burden of disease. In modern society the majority of the exposure occurs indoors where people spend most of their time. Indoor air quality may be improved with portable air cleaners utilizing various cleaning techniques, such as filtration, electrostatic precipitation, and ionization. The objective of this study was to quantify air cleaner particle removal by particle size resolved clean air delivery rates (CADR). This was obtained by utilizing particle concentration measurements and indoor aerosol modeling. Our test protocol was applied to five air cleaners designed for household and office use. For particles with diameters above 100 nm and at the chosen settings, the CADR was around 40 m 3 /h for an ion generator, around 70 m 3 /h for an electrostatic precipitator, and ranging from 100 to almost 300 m 3 /h for the three filter-based air cleaners. Similar performances were obtained for ultrafine particles, except for the ion generator that performed better in this size range.

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Section: Particle Measurementsmentioning

confidence: 99%

A New Clean Air Delivery Rate Test Applied to Five Portable Indoor Air Cleaners

Mølgaard

Koivisto

Hussein

et al. 2014

Aerosol Science and Technology

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“…ere have been some important results available in experimental studies of references for a source injected continuously to background particles [20,21]. Here, the evolution of NSD in the presence of background particles and the interaction between modes are further investigated based on the simulation method.…”

Section: A Source Injected Into a Chamber Filled With Background Partmentioning

confidence: 99%

Study on the Interaction between Modes of a Nanoparticle-Laden Aerosol System

Liu

Zhang

Yang

2018

Journal of Nanotechnology

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Nanoparticle-laden two-phase flow systems, especially atmospheric aerosols, are usually found with several modes for particle size distribution (PSD). For the first time, a mathematical method is proposed to study the interaction of nanoparticle dynamics between modes by establishing two joint population balance equations (PBEs). e PBEs are solved using the sectional method, which divides the PSD into discrete bins. e nanoparticle-laden system involves Brownian coagulation, ventilation, and injection. e interaction between modes within a size distribution is studied quantitatively with and without injection and ventilation. e study shows that particles with smaller size are easier to be removed by background particles, but the lag time to be removed is affected by not only the total number concentration of small particles but also their sizes. Background particles play an important role in determining the evolution of small particle system, whose presence makes the secondary model absent for the small particles.

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“…Based on the conservation of particle number concentration, the particle population balance equation, also known as the general dynamic equation (GDE), is constructed in terms of the particle size distribution which is considered to be the leading quantity characterizing nanoparticle aerosols [36]. With initial and boundary conditions, the temporal and spatial particle size distribution in the workplace can be obtained through solving the GDE equation with analytical and numerical methods [29,30]. In the presence of a flow, the combination of the GDE equation and the CFD equations is needed.…”

Section: Modelling Approaches To Aerosol Dynamics and Transport In Thmentioning

confidence: 99%

“…This method was widely applied in the studies on the evolution of the particle size distribution in engineering applications due to the different dynamical processes including coagulation, condensation, gas-particle conversion, and the interaction between the continuum and the dispersed particles. In order to extract the size-resolved emission rate, the sectional method has been applied in the construction of the emission model for nanoparticle aerosol [30,35], which will be described in details below.…”

Section: Modelling Approaches To Aerosol Dynamics and Transport In Thmentioning

confidence: 99%

“…In these models, if it is time-varying, the measured size-resolved data are usually the initial condition of the GDE equation, and thus the accuracy of the model is strongly dependent on the time resolution of measurement instrument [30,35,66]. This kind of aerosol model has an ability to produce the time-varying emission rate with high resolution in the size space, but limited to low efficiency due to the complicated calculation.…”

Section: Size-resolved Emission Modelmentioning

confidence: 99%

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